---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22519'
abstract:
- lang: eng
text: Glacier health across High Mountain Asia (HMA) is highly heterogeneous and
strongly governed by regional climate, which is variably influenced by monsoon
dynamics and the westerlies. We explore four decades of glacier energy and mass
balance at three climatically distinct sites across HMA by utilising a detailed
land surface model driven by bias-corrected Weather Research and Forecasting meteorological
forcing. All three glaciers have experienced long-term mass losses (ranging from
−0.04 ± 0.09 to −0.59 ± 0.20 m w.e. a−1) consistent with widespread warming across
the region. However, complex and contrasting responses of glacier energy and mass
balance to the patterns of the Indian Summer Monsoon were evident, largely driven
by the role snowfall timing, amount and phase. A later monsoon onset generates
less total snowfall to the glacier in the southeastern Tibetan Plateau during
May–June, augmenting net shortwave radiation and affecting annual mass balance
(−0.5 m w.e. on average compared to early onset years). Conversely, timing of
the monsoon’s arrival has limited impact for the Nepalese Himalaya which is more
strongly governed by the temperature and snowfall amount during the core monsoon
season. In the arid central Tibetan Plateau, a later monsoon arrival results in
a 40 mm (58%) increase of May–June snowfall on average compared to early onset
years, likely driven by the greater interaction of westerly storm events. Meanwhile,
a late monsoon cessation at this site sees an average 200 mm (192%) increase in
late summer precipitation due to monsoonal storms. A trend towards weaker intensity
monsoon conditions in recent decades, combined with long-term warming patterns,
has produced predominantly negative glacier mass balances for all sites (up to
1 m w.e. more mass loss in the Nepalese Himalaya compared to strong monsoon intensity
years) but sub-regional variability in monsoon timing can additionally complicate
this response.
article_number: '104001'
article_processing_charge: No
article_type: letter_note
author:
- first_name: T E
full_name: Shaw, T E
last_name: Shaw
- first_name: E S
full_name: Miles, E S
last_name: Miles
- first_name: D
full_name: Chen, D
last_name: Chen
- first_name: A
full_name: Jouberton, A
last_name: Jouberton
- first_name: M
full_name: Kneib, M
last_name: Kneib
- first_name: S
full_name: Fugger, S
last_name: Fugger
- first_name: T
full_name: Ou, T
last_name: Ou
- first_name: H-W
full_name: Lai, H-W
last_name: Lai
- first_name: K
full_name: Fujita, K
last_name: Fujita
- first_name: W
full_name: Yang, W
last_name: Yang
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: F
full_name: Pellicciotti, F
last_name: Pellicciotti
citation:
ama: Shaw TE, Miles ES, Chen D, et al. Multi-decadal monsoon characteristics and
glacier response in High Mountain Asia. Environmental Research Letters.
2022;17(10). doi:10.1088/1748-9326/ac9008
apa: Shaw, T. E., Miles, E. S., Chen, D., Jouberton, A., Kneib, M., Fugger, S.,
… Pellicciotti, F. (2022). Multi-decadal monsoon characteristics and glacier response
in High Mountain Asia. Environmental Research Letters. IOP Publishing.
https://doi.org/10.1088/1748-9326/ac9008
chicago: Shaw, T E, E S Miles, D Chen, A Jouberton, M Kneib, S Fugger, T Ou, et
al. “Multi-Decadal Monsoon Characteristics and Glacier Response in High Mountain
Asia.” Environmental Research Letters. IOP Publishing, 2022. https://doi.org/10.1088/1748-9326/ac9008.
ieee: T. E. Shaw et al., “Multi-decadal monsoon characteristics and glacier
response in High Mountain Asia,” Environmental Research Letters, vol. 17,
no. 10. IOP Publishing, 2022.
ista: Shaw TE, Miles ES, Chen D, Jouberton A, Kneib M, Fugger S, Ou T, Lai H-W,
Fujita K, Yang W, Fatichi S, Pellicciotti F. 2022. Multi-decadal monsoon characteristics
and glacier response in High Mountain Asia. Environmental Research Letters. 17(10),
104001.
mla: Shaw, T. E., et al. “Multi-Decadal Monsoon Characteristics and Glacier Response
in High Mountain Asia.” Environmental Research Letters, vol. 17, no. 10,
104001, IOP Publishing, 2022, doi:10.1088/1748-9326/ac9008.
short: T.E. Shaw, E.S. Miles, D. Chen, A. Jouberton, M. Kneib, S. Fugger, T. Ou,
H.-W. Lai, K. Fujita, W. Yang, S. Fatichi, F. Pellicciotti, Environmental Research
Letters 17 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-09-16T00:00:00Z
date_updated: 2026-08-06T11:38:33Z
day: '16'
doi: 10.1088/1748-9326/ac9008
extern: '1'
intvolume: ' 17'
issue: '10'
keyword:
- Glacier
- Long-term mass balance
- Monsoon
- Snowfall
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.1088/1748-9326/ac9008
month: '09'
oa: 1
oa_version: Published Version
publication: Environmental Research Letters
publication_identifier:
eissn:
- 1748-9326
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Multi-decadal monsoon characteristics and glacier response in High Mountain
Asia
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 17
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22502'
abstract:
- lang: eng
text: "The Indian and East Asian summer monsoons shape the melt and accumulation
patterns of glaciers in High Mountain Asia in complex ways due to the interaction
of persistent cloud cover, large temperature ranges, high atmospheric water content
and high precipitation rates. Glacier energy- and mass-balance modelling using
in situ measurements offers insights into the ways in which surface processes
are shaped by climatic regimes. In this study, we use a full energy- and mass-balance
model and seven on-glacier automatic weather station datasets from different parts
of the Central and Eastern Himalaya to investigate how monsoon conditions influence
the glacier surface energy and mass balance. In particular, we look at how debris-covered
and debris-free glaciers respond differently to monsoonal conditions. The radiation
budget primarily controls the melt of clean-ice glaciers, but turbulent fluxes
play an important role in modulating the melt energy on debris-covered glaciers.
The sensible heat flux decreases during core monsoon, but the latent heat flux
cools the surface due to evaporation of liquid water. This interplay of radiative
and turbulent fluxes causes debris-covered glacier melt rates to stay almost constant
through the different phases of the monsoon. Ice melt under thin debris, on the
other hand, is amplified by both the dark surface and the turbulent fluxes, which
intensify melt during monsoon through surface heating and condensation. Pre-monsoon
snow cover can considerably delay melt onset and have a strong impact on the seasonal
mass balance. Intermittent monsoon snow cover lowers the melt rates at high elevation.
This work is fundamental to the understanding of the present and future Himalayan
cryosphere and water budget, while informing and motivating further glacier- and
catchment-scale research using process-based models.The radiation budget primarily
controls the melt of clean-ice glaciers, but turbulent fluxes play an important
role in modulating the melt energy on debris-covered glaciers. The sensible heat
flux decreases during core monsoon, but the latent heat flux cools the surface
due to evaporation of liquid water. This interplay of radiative and turbulent
fluxes causes debris-covered glacier melt rates to stay almost constant through
the different phases of the monsoon. Ice melt under thin debris, on the other
hand, is amplified by both the dark surface and the turbulent fluxes, which intensify
melt during monsoon through surface heating and condensation.\r\nPre-monsoon snow
cover can considerably delay melt onset and have a strong impact on the seasonal
mass balance. Intermittent monsoon snow cover lowers the melt rates at high elevation.
This work is fundamental to the understanding of the present and future Himalayan
cryosphere and water budget, while informing and motivating further glacier- and
catchment-scale research using process-based models."
article_processing_charge: No
article_type: original
author:
- first_name: Stefan
full_name: Fugger, Stefan
last_name: Fugger
- first_name: Catriona L.
full_name: Fyffe, Catriona L.
last_name: Fyffe
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Evan
full_name: Miles, Evan
last_name: Miles
- first_name: Michael
full_name: McCarthy, Michael
last_name: McCarthy
- first_name: Thomas E.
full_name: Shaw, Thomas E.
last_name: Shaw
- first_name: Baohong
full_name: Ding, Baohong
last_name: Ding
- first_name: Wei
full_name: Yang, Wei
last_name: Yang
- first_name: Patrick
full_name: Wagnon, Patrick
last_name: Wagnon
- first_name: Walter
full_name: Immerzeel, Walter
last_name: Immerzeel
- first_name: Qiao
full_name: Liu, Qiao
last_name: Liu
- first_name: Francesca
full_name: Pellicciotti, Francesca
last_name: Pellicciotti
citation:
ama: Fugger S, Fyffe CL, Fatichi S, et al. Understanding monsoon controls on the
energy and mass balance of glaciers in the Central and Eastern Himalaya. The
Cryosphere. 2022;16(5):1631-1652. doi:10.5194/tc-16-1631-2022
apa: Fugger, S., Fyffe, C. L., Fatichi, S., Miles, E., McCarthy, M., Shaw, T. E.,
… Pellicciotti, F. (2022). Understanding monsoon controls on the energy and mass
balance of glaciers in the Central and Eastern Himalaya. The Cryosphere.
Copernicus Publications. https://doi.org/10.5194/tc-16-1631-2022
chicago: Fugger, Stefan, Catriona L. Fyffe, Simone Fatichi, Evan Miles, Michael
McCarthy, Thomas E. Shaw, Baohong Ding, et al. “Understanding Monsoon Controls
on the Energy and Mass Balance of Glaciers in the Central and Eastern Himalaya.”
The Cryosphere. Copernicus Publications, 2022. https://doi.org/10.5194/tc-16-1631-2022.
ieee: S. Fugger et al., “Understanding monsoon controls on the energy and
mass balance of glaciers in the Central and Eastern Himalaya,” The Cryosphere,
vol. 16, no. 5. Copernicus Publications, pp. 1631–1652, 2022.
ista: Fugger S, Fyffe CL, Fatichi S, Miles E, McCarthy M, Shaw TE, Ding B, Yang
W, Wagnon P, Immerzeel W, Liu Q, Pellicciotti F. 2022. Understanding monsoon controls
on the energy and mass balance of glaciers in the Central and Eastern Himalaya.
The Cryosphere. 16(5), 1631–1652.
mla: Fugger, Stefan, et al. “Understanding Monsoon Controls on the Energy and Mass
Balance of Glaciers in the Central and Eastern Himalaya.” The Cryosphere,
vol. 16, no. 5, Copernicus Publications, 2022, pp. 1631–52, doi:10.5194/tc-16-1631-2022.
short: S. Fugger, C.L. Fyffe, S. Fatichi, E. Miles, M. McCarthy, T.E. Shaw, B. Ding,
W. Yang, P. Wagnon, W. Immerzeel, Q. Liu, F. Pellicciotti, The Cryosphere 16 (2022)
1631–1652.
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-05-05T00:00:00Z
date_updated: 2026-08-06T11:17:17Z
day: '05'
doi: 10.5194/tc-16-1631-2022
extern: '1'
intvolume: ' 16'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.5194/tc-16-1631-2022
month: '05'
oa: 1
oa_version: Published Version
page: 1631-1652
publication: The Cryosphere
publication_identifier:
eissn:
- 1994-0424
publication_status: published
publisher: Copernicus Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Understanding monsoon controls on the energy and mass balance of glaciers in
the Central and Eastern Himalaya
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 16
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22515'
abstract:
- lang: eng
text: Hydrological, ecohydrological, and terrestrial biosphere models depend on
pedotransferfunctions for computing soil hydraulic parameters based on easily
measurable variables, such as soil texturaland physical properties. Several pedotransfer
functions have been derived in the last few decades, providingdivergent estimates
of soil hydraulic parameters. In this study, we quantify how uncertainties embedded
inusing different pedotransfer functions propagate to ecosystem dynamics, including
simulated hydrologicalfluxes and vegetation response to water availability. Using
a state-of-the-art ecohydrological model applied at79 sites worldwide, we show
that uncertainties related to pedotransfer functions can affect both hydrologicaland
vegetation dynamics. Uncertainties in evapotranspiration, plant productivity,
and vegetation structure,quantified as leaf area, are in the order of ∼10% at
annual time scales. Runoff and groundwater rechargeuncertainties are one order
of magnitude larger. All uncertainties are largely amplified when small-scaletopography
is taken into account in a distributed domain, especially for water-limited ecosystems
with lowpermeability soils. Overall, pedotransfer function related uncertainties
for a given soil type are higher thanuncertainties across soil types in both hydrological
and ecosystem dynamics. The magnitude of uncertainties isclimate-dependent but
not soil type-dependent. Evapotranspiration, vegetation structure, and plant productivityuncertainties
are higher in water-limited semiarid climates, whereas groundwater recharge uncertainties
arehigher in climates where potential evapotranspiration is comparable to precipitation.
article_number: e2021WR031871
article_processing_charge: No
article_type: original
author:
- first_name: Athanasios
full_name: Paschalis, Athanasios
last_name: Paschalis
- first_name: Sara
full_name: Bonetti, Sara
last_name: Bonetti
- first_name: Yanran
full_name: Guo, Yanran
last_name: Guo
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: Paschalis A, Bonetti S, Guo Y, Fatichi S. On the uncertainty induced by pedotransfer
functions in terrestrial biosphere modeling. Water Resources Research.
2022;58(9). doi:10.1029/2021wr031871
apa: Paschalis, A., Bonetti, S., Guo, Y., & Fatichi, S. (2022). On the uncertainty
induced by pedotransfer functions in terrestrial biosphere modeling. Water
Resources Research. American Geophysical Union. https://doi.org/10.1029/2021wr031871
chicago: Paschalis, Athanasios, Sara Bonetti, Yanran Guo, and Simone Fatichi. “On
the Uncertainty Induced by Pedotransfer Functions in Terrestrial Biosphere Modeling.”
Water Resources Research. American Geophysical Union, 2022. https://doi.org/10.1029/2021wr031871.
ieee: A. Paschalis, S. Bonetti, Y. Guo, and S. Fatichi, “On the uncertainty induced
by pedotransfer functions in terrestrial biosphere modeling,” Water Resources
Research, vol. 58, no. 9. American Geophysical Union, 2022.
ista: Paschalis A, Bonetti S, Guo Y, Fatichi S. 2022. On the uncertainty induced
by pedotransfer functions in terrestrial biosphere modeling. Water Resources Research.
58(9), e2021WR031871.
mla: Paschalis, Athanasios, et al. “On the Uncertainty Induced by Pedotransfer Functions
in Terrestrial Biosphere Modeling.” Water Resources Research, vol. 58,
no. 9, e2021WR031871, American Geophysical Union, 2022, doi:10.1029/2021wr031871.
short: A. Paschalis, S. Bonetti, Y. Guo, S. Fatichi, Water Resources Research 58
(2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2026-08-06T11:26:11Z
day: '01'
doi: 10.1029/2021wr031871
extern: '1'
intvolume: ' 58'
issue: '9'
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1029/2021WR031871
month: '09'
oa_version: Published Version
publication: Water Resources Research
publication_identifier:
eissn:
- 1944-7973
issn:
- 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the uncertainty induced by pedotransfer functions in terrestrial biosphere
modeling
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 58
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22537'
abstract:
- lang: eng
text: "Urban heat islands (UHIs) are a widely studied phenomenon, while research
on urban-rural differences in humidity, the so called urban dry or moisture islands
(UDIs, UMIs), is less common and a large-scale quantification of the seasonal
and diurnal patterns of the UDI is still lacking. However, quantification of the
UDI/UMI effect is essential to understand the impacts of humidity on outdoor thermal
comfort, building energy consumption, and urban ecology in cities worldwide. Here,
we use a set of globally distributed air temperature and humidity measurements
(1089 stations) to quantify diurnal and seasonal patterns of UHI and UDI resulting
from rapid urbanization over many regions of the world. The terms ‘absolute UDI’
and ‘relative UDI’ are defined, which quantify urban–rural differences in actual
and relative humidity metrics, respectively.\r\n\r\nResults show that absolute
UDI is largest during daytime with the peak humidity decrease in urban areas occurring
during late afternoon hours. In contrast, relative UDI is largest during night
and the peak urban relative humidity (RH) decrease and vapor pressure deficit
(VPD) increase occurs in the late evening hours with values of around −10% to
−11% for RH and 2.9–3.6 hPa for VPD between 20–00 local time during summer. Relative
and absolute UDIs are largest during the warm season, except for daytime RH UDI,
which does not show any seasonal pattern. In agreement with literature, canopy
air UHI is shown to be a nighttime phenomenon, which is larger during summer than
winter. Relative UDI is predominantly caused by changes in actual humidity during
day and UHI during nighttime."
article_number: '054044'
article_processing_charge: No
article_type: letter_note
author:
- first_name: Naika
full_name: Meili, Naika
last_name: Meili
- first_name: Athanasios
full_name: Paschalis, Athanasios
last_name: Paschalis
- first_name: Gabriele
full_name: Manoli, Gabriele
last_name: Manoli
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
citation:
ama: Meili N, Paschalis A, Manoli G, Fatichi S. Diurnal and seasonal patterns of
global urban dry islands. Environmental Research Letters. 2022;17(5). doi:10.1088/1748-9326/ac68f8
apa: Meili, N., Paschalis, A., Manoli, G., & Fatichi, S. (2022). Diurnal and
seasonal patterns of global urban dry islands. Environmental Research Letters.
IOP Publishing. https://doi.org/10.1088/1748-9326/ac68f8
chicago: Meili, Naika, Athanasios Paschalis, Gabriele Manoli, and Simone Fatichi.
“Diurnal and Seasonal Patterns of Global Urban Dry Islands.” Environmental
Research Letters. IOP Publishing, 2022. https://doi.org/10.1088/1748-9326/ac68f8.
ieee: N. Meili, A. Paschalis, G. Manoli, and S. Fatichi, “Diurnal and seasonal patterns
of global urban dry islands,” Environmental Research Letters, vol. 17,
no. 5. IOP Publishing, 2022.
ista: Meili N, Paschalis A, Manoli G, Fatichi S. 2022. Diurnal and seasonal patterns
of global urban dry islands. Environmental Research Letters. 17(5), 054044.
mla: Meili, Naika, et al. “Diurnal and Seasonal Patterns of Global Urban Dry Islands.”
Environmental Research Letters, vol. 17, no. 5, 054044, IOP Publishing,
2022, doi:10.1088/1748-9326/ac68f8.
short: N. Meili, A. Paschalis, G. Manoli, S. Fatichi, Environmental Research Letters
17 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-05-09T00:00:00Z
date_updated: 2026-08-06T11:57:54Z
day: '09'
doi: 10.1088/1748-9326/ac68f8
extern: '1'
intvolume: ' 17'
issue: '5'
keyword:
- Urban dry island
- Urban moisture island
- Urban heat island
- Urban climate
- Urbanization effects
- Humidity
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1088/1748-9326/ac68f8
month: '05'
oa: 1
oa_version: Published Version
publication: Environmental Research Letters
publication_identifier:
eissn:
- 1748-9326
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Diurnal and seasonal patterns of global urban dry islands
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 17
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '22555'
abstract:
- lang: eng
text: The current Chilean megadrought has led to acute water shortages in central
Chile since 2010.Glaciers have provided vital fresh water to the region's rivers,
but the quantity, timing and sustainability ofthat provision remain unclear. Here
we combine in-situ, remote sensing and climate reanalysis data to showthat from
2010 to 2018 during the megadrought, unsustainable imbalance ablation of glaciers
(ablation notbalanced by new snowfall) strongly buffered the late-summer discharge
of the Maipo River, a primary sourceof water to Santiago. If there had been no
glaciers, water availability would have been reduced from Decemberthrough May,
with a 31 ± 19% decrease during March. Our results indicate that while the annual
contributionsof imbalance ablation to river discharge during the megadrought have
been small compared to those fromprecipitation and sustainable balance ablation,
they have nevertheless been a substantial input to a hydrologicalsystem that was
already experiencing high water stress. The water-equivalent volume of imbalance
ablationgenerated in the Maipo Basin between 2010 and 2018 was 740 × 10 6 m 3
(19 ± 12 mm yr −1), approximately 3.4times the capacity of the basin's El Yeso
Reservoir. This is equivalent to 14% of Santiago's potable water use inthat time,
while total glacier ablation was equivalent to 59%. We show that glacier retreat
will exacerbate riverdischarge deficits and further jeopardize water availability
in central Chile if precipitation deficits endure, andconjecture that these effects
will be amplified by climatic warming.
article_number: e2022EF002852
article_processing_charge: No
article_type: original
author:
- first_name: Michael
full_name: McCarthy, Michael
last_name: McCarthy
- first_name: Fabienne
full_name: Meier, Fabienne
last_name: Meier
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Benjamin D.
full_name: Stocker, Benjamin D.
last_name: Stocker
- first_name: Thomas E.
full_name: Shaw, Thomas E.
last_name: Shaw
- first_name: Evan
full_name: Miles, Evan
last_name: Miles
- first_name: Inés
full_name: Dussaillant, Inés
last_name: Dussaillant
- first_name: Francesca
full_name: Pellicciotti, Francesca
last_name: Pellicciotti
citation:
ama: McCarthy M, Meier F, Fatichi S, et al. Glacier contributions to river discharge
during the current chilean megadrought. Earth’s Future. 2022;10(10). doi:10.1029/2022ef002852
apa: McCarthy, M., Meier, F., Fatichi, S., Stocker, B. D., Shaw, T. E., Miles, E.,
… Pellicciotti, F. (2022). Glacier contributions to river discharge during the
current chilean megadrought. Earth’s Future. American Geophysical Union.
https://doi.org/10.1029/2022ef002852
chicago: McCarthy, Michael, Fabienne Meier, Simone Fatichi, Benjamin D. Stocker,
Thomas E. Shaw, Evan Miles, Inés Dussaillant, and Francesca Pellicciotti. “Glacier
Contributions to River Discharge during the Current Chilean Megadrought.” Earth’s
Future. American Geophysical Union, 2022. https://doi.org/10.1029/2022ef002852.
ieee: M. McCarthy et al., “Glacier contributions to river discharge during
the current chilean megadrought,” Earth’s Future, vol. 10, no. 10. American
Geophysical Union, 2022.
ista: McCarthy M, Meier F, Fatichi S, Stocker BD, Shaw TE, Miles E, Dussaillant
I, Pellicciotti F. 2022. Glacier contributions to river discharge during the current
chilean megadrought. Earth’s Future. 10(10), e2022EF002852.
mla: McCarthy, Michael, et al. “Glacier Contributions to River Discharge during
the Current Chilean Megadrought.” Earth’s Future, vol. 10, no. 10, e2022EF002852,
American Geophysical Union, 2022, doi:10.1029/2022ef002852.
short: M. McCarthy, F. Meier, S. Fatichi, B.D. Stocker, T.E. Shaw, E. Miles, I.
Dussaillant, F. Pellicciotti, Earth’s Future 10 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-08-06T13:58:29Z
day: '01'
doi: 10.1029/2022ef002852
extern: '1'
intvolume: ' 10'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: ' https://doi.org/10.1029/2022EF002852'
month: '10'
oa: 1
oa_version: Published Version
publication: Earth's Future
publication_identifier:
eissn:
- 2328-4277
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: Glacier contributions to river discharge during the current chilean megadrought
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 10
year: '2022'
...
---
OA_place: publisher
OA_type: hybrid
_id: '22564'
abstract:
- lang: eng
text: "It is well known that cities increase air and surface temperatures compared
to their rural surroundings, the so-called urban heat island (UHI) effect. However,
the associated changes in atmospheric humidity (also known as urban dry island,
UDI) and convection triggering remain largely unexplored and it is still unclear
how urban modifications of the surface energy budget Influence the diurnal evolution
of temperature and humidity in the Atmospheric Boundary Layer\r\n(ABL) and ultimately
control the initiation of convective clouds.\r\nHere we quantify the impact of
different urban settings and free atmospheric conditions on\r\nUHI, UDI, and convection
triggers by means of a zero-order model of the ABL. Specifically, we\r\nderive
an approximate solution for urban-rural changes in surface energy fluxes and ABL
potential\r\ntemperature and humidity and we investigate the crossing between
the ABL height and the lifting\r\ncondensation level (LCL) which is a proxy for
the triggering of convective clouds. We show that\r\nurban areas are generally
warmer and drier, thus causing an increase in both ABL and LCL\r\nheights. However,
the response of the ABL-LCL crossing to surface conditions is non-linear and\r\nthere
exists a range of free atmosphere conditions for which changes in imperviousness
can\r\nimpact convective clouds."
article_number: '101346'
article_processing_charge: No
article_type: original
author:
- first_name: Clinton T.F.
full_name: Chiu, Clinton T.F.
last_name: Chiu
- first_name: Kai
full_name: Wang, Kai
last_name: Wang
- first_name: Athanasios
full_name: Paschalis, Athanasios
last_name: Paschalis
- first_name: Tohid
full_name: Erfani, Tohid
last_name: Erfani
- first_name: Nadav
full_name: Peleg, Nadav
last_name: Peleg
- first_name: Simone
full_name: Fatichi, Simone
id: cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
last_name: Fatichi
- first_name: Natalie
full_name: Theeuwes, Natalie
last_name: Theeuwes
- first_name: Gabriele
full_name: Manoli, Gabriele
last_name: Manoli
citation:
ama: Chiu CTF, Wang K, Paschalis A, et al. An analytical approximation of urban
heat and dry islands and their impact on convection triggering. Urban Climate.
2022;46. doi:10.1016/j.uclim.2022.101346
apa: Chiu, C. T. F., Wang, K., Paschalis, A., Erfani, T., Peleg, N., Fatichi, S.,
… Manoli, G. (2022). An analytical approximation of urban heat and dry islands
and their impact on convection triggering. Urban Climate. Elsevier. https://doi.org/10.1016/j.uclim.2022.101346
chicago: Chiu, Clinton T.F., Kai Wang, Athanasios Paschalis, Tohid Erfani, Nadav
Peleg, Simone Fatichi, Natalie Theeuwes, and Gabriele Manoli. “An Analytical Approximation
of Urban Heat and Dry Islands and Their Impact on Convection Triggering.” Urban
Climate. Elsevier, 2022. https://doi.org/10.1016/j.uclim.2022.101346.
ieee: C. T. F. Chiu et al., “An analytical approximation of urban heat and
dry islands and their impact on convection triggering,” Urban Climate,
vol. 46. Elsevier, 2022.
ista: Chiu CTF, Wang K, Paschalis A, Erfani T, Peleg N, Fatichi S, Theeuwes N, Manoli
G. 2022. An analytical approximation of urban heat and dry islands and their impact
on convection triggering. Urban Climate. 46, 101346.
mla: Chiu, Clinton T. F., et al. “An Analytical Approximation of Urban Heat and
Dry Islands and Their Impact on Convection Triggering.” Urban Climate,
vol. 46, 101346, Elsevier, 2022, doi:10.1016/j.uclim.2022.101346.
short: C.T.F. Chiu, K. Wang, A. Paschalis, T. Erfani, N. Peleg, S. Fatichi, N. Theeuwes,
G. Manoli, Urban Climate 46 (2022).
das_tickbox: '1'
date_created: 2026-07-27T12:30:24Z
date_published: 2022-12-01T00:00:00Z
date_updated: 2026-08-06T14:03:31Z
day: '01'
doi: 10.1016/j.uclim.2022.101346
extern: '1'
intvolume: ' 46'
keyword:
- Urban heat island
- Urban dry island
- Boundary layer
- Convective clouds
- Analytical model
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.uclim.2022.101346
month: '12'
oa: 1
oa_version: Published Version
publication: Urban Climate
publication_identifier:
eissn:
- 2212-0955
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: An analytical approximation of urban heat and dry islands and their impact
on convection triggering
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 46
year: '2022'
...
---
_id: '10827'
abstract:
- lang: eng
text: Titanium dioxide has been extensively studied in the rutile or anatase phase,
while its high-pressure phases are less well-understood, despite that many are
thought to have interesting optical, mechanical, and electrochemical properties.
First-principles methods, such as density functional theory (DFT), are often used
to compute the enthalpies of TiO2 phases at 0 K, but they are expensive and, thus,
impractical for long time scale and large system-size simulations at finite temperatures.
On the other hand, cheap empirical potentials fail to capture the relative stabilities
of various polymorphs. To model the thermodynamic behaviors of ambient and high-pressure
phases of TiO2, we design an empirical model as a baseline and then train a machine
learning potential based on the difference between the DFT data and the empirical
model. This so-called Δ-learning potential contains long-range electrostatic interactions
and predicts the 0 K enthalpies of stable TiO2 phases that are in good agreement
with DFT. We construct a pressure–temperature phase diagram of TiO2 in the range
0 < P < 70 GPa and 100 < T < 1500 K. We then simulate dynamic phase transition
processes by compressing anatase at different temperatures. At 300 K, we predominantly
observe an anatase-to-baddeleyite transformation at about 20 GPa via a martensitic
two-step mechanism with a highly ordered and collective atomic motion. At 2000
K, anatase can transform into cotunnite around 45–55 GPa in a thermally activated
and probabilistic manner, accompanied by diffusive movement of oxygen atoms. The
pressures computed for these transitions show good agreement with experiments.
Our results shed light on how to synthesize and stabilize high-pressure TiO2 phases,
and our method is generally applicable to other functional materials with multiple
polymorphs.
acknowledgement: J.G.L. and B.C. acknowledge the resources provided by the Cambridge
Tier-2 system operated by the University of Cambridge Research Computing Service
funded by the EPSRC Tier-2 capital (Grant No. EP/P020259/1).
article_number: '074106'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Jacob G.
full_name: Lee, Jacob G.
last_name: Lee
- first_name: Chris J.
full_name: Pickard, Chris J.
last_name: Pickard
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
citation:
ama: Lee JG, Pickard CJ, Cheng B. High-pressure phase behaviors of titanium dioxide
revealed by a Δ-learning potential. The Journal of chemical physics. 2022;156(7).
doi:10.1063/5.0079844
apa: Lee, J. G., Pickard, C. J., & Cheng, B. (2022). High-pressure phase behaviors
of titanium dioxide revealed by a Δ-learning potential. The Journal of Chemical
Physics. AIP Publishing. https://doi.org/10.1063/5.0079844
chicago: Lee, Jacob G., Chris J. Pickard, and Bingqing Cheng. “High-Pressure Phase
Behaviors of Titanium Dioxide Revealed by a Δ-Learning Potential.” The Journal
of Chemical Physics. AIP Publishing, 2022. https://doi.org/10.1063/5.0079844.
ieee: J. G. Lee, C. J. Pickard, and B. Cheng, “High-pressure phase behaviors of
titanium dioxide revealed by a Δ-learning potential,” The Journal of chemical
physics, vol. 156, no. 7. AIP Publishing, 2022.
ista: Lee JG, Pickard CJ, Cheng B. 2022. High-pressure phase behaviors of titanium
dioxide revealed by a Δ-learning potential. The Journal of chemical physics. 156(7),
074106.
mla: Lee, Jacob G., et al. “High-Pressure Phase Behaviors of Titanium Dioxide Revealed
by a Δ-Learning Potential.” The Journal of Chemical Physics, vol. 156,
no. 7, 074106, AIP Publishing, 2022, doi:10.1063/5.0079844.
short: J.G. Lee, C.J. Pickard, B. Cheng, The Journal of Chemical Physics 156 (2022).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: All original data generated for the study and the Δ-learning
potential for TiO2 constructed in this study are in the SI repository at https://github.com/jacobglee1/tio2-mlp.
date_created: 2022-03-06T23:01:53Z
date_published: 2022-02-16T00:00:00Z
date_updated: 2026-08-07T11:17:03Z
day: '16'
department:
- _id: BiCh
doi: 10.1063/5.0079844
external_id:
arxiv:
- '2111.12968'
isi:
- '000796704500014'
pmid:
- '35183078'
intvolume: ' 156'
isi: 1
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2111.12968
month: '02'
oa: 1
oa_version: Preprint
pmid: 1
publication: The Journal of chemical physics
publication_identifier:
eissn:
- 1089-7690
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: High-pressure phase behaviors of titanium dioxide revealed by a Δ-learning
potential
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 156
year: '2022'
...
---
_id: '12128'
abstract:
- lang: eng
text: We introduce a machine-learning (ML) framework for high-throughput benchmarking
of diverse representations of chemical systems against datasets of materials and
molecules. The guiding principle underlying the benchmarking approach is to evaluate
raw descriptor performance by limiting model complexity to simple regression schemes
while enforcing best ML practices, allowing for unbiased hyperparameter optimization,
and assessing learning progress through learning curves along series of synchronized
train-test splits. The resulting models are intended as baselines that can inform
future method development, in addition to indicating how easily a given dataset
can be learnt. Through a comparative analysis of the training outcome across a
diverse set of physicochemical, topological and geometric representations, we
glean insight into the relative merits of these representations as well as their
interrelatedness.
acknowledgement: 'C P acknowledges funding from Astex through the Sustaining Innovation
Program under the Milner Consortium. B C acknowledges resources provided by the
Cambridge Tier-2 system operated by the University of Cambridge Research Computing
Service funded by EPSRC Tier-2 capital Grant EP/P020259/1. F A F acknowledges funding
from the Swiss National Science Foundation (Grant No. P2BSP2_191736). '
article_number: '040501'
article_processing_charge: No
article_type: original
author:
- first_name: Carl
full_name: Poelking, Carl
last_name: Poelking
- first_name: Felix A
full_name: Faber, Felix A
last_name: Faber
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
citation:
ama: 'Poelking C, Faber FA, Cheng B. BenchML: An extensible pipelining framework
for benchmarking representations of materials and molecules at scale. Machine
Learning: Science and Technology. 2022;3(4). doi:10.1088/2632-2153/ac4d11'
apa: 'Poelking, C., Faber, F. A., & Cheng, B. (2022). BenchML: An extensible
pipelining framework for benchmarking representations of materials and molecules
at scale. Machine Learning: Science and Technology. IOP Publishing. https://doi.org/10.1088/2632-2153/ac4d11'
chicago: 'Poelking, Carl, Felix A Faber, and Bingqing Cheng. “BenchML: An Extensible
Pipelining Framework for Benchmarking Representations of Materials and Molecules
at Scale.” Machine Learning: Science and Technology. IOP Publishing, 2022.
https://doi.org/10.1088/2632-2153/ac4d11.'
ieee: 'C. Poelking, F. A. Faber, and B. Cheng, “BenchML: An extensible pipelining
framework for benchmarking representations of materials and molecules at scale,”
Machine Learning: Science and Technology, vol. 3, no. 4. IOP Publishing,
2022.'
ista: 'Poelking C, Faber FA, Cheng B. 2022. BenchML: An extensible pipelining framework
for benchmarking representations of materials and molecules at scale. Machine
Learning: Science and Technology. 3(4), 040501.'
mla: 'Poelking, Carl, et al. “BenchML: An Extensible Pipelining Framework for Benchmarking
Representations of Materials and Molecules at Scale.” Machine Learning: Science
and Technology, vol. 3, no. 4, 040501, IOP Publishing, 2022, doi:10.1088/2632-2153/ac4d11.'
short: 'C. Poelking, F.A. Faber, B. Cheng, Machine Learning: Science and Technology
3 (2022).'
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The datasets used for this study are available at https://github.com/BingqingCheng/linear-regression-benchmarks.
All data that support the findings of this study are included within the article
(and any supplementary files).
date_created: 2023-01-12T12:02:21Z
date_published: 2022-11-17T00:00:00Z
date_updated: 2026-08-07T11:19:31Z
day: '17'
ddc:
- '000'
department:
- _id: BiCh
doi: 10.1088/2632-2153/ac4d11
external_id:
isi:
- '000886534000001'
file:
- access_level: open_access
checksum: 8930d4ad6ed9b47358c6f1a68666adb6
content_type: application/pdf
creator: dernst
date_created: 2023-01-23T10:42:04Z
date_updated: 2023-01-23T10:42:04Z
file_id: '12343'
file_name: 2022_MachLearning_Poelking.pdf
file_size: 13814559
relation: main_file
success: 1
file_date_updated: 2023-01-23T10:42:04Z
has_accepted_license: '1'
intvolume: ' 3'
isi: 1
issue: '4'
keyword:
- Artificial Intelligence
- Human-Computer Interaction
- Software
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
publication: 'Machine Learning: Science and Technology'
publication_identifier:
issn:
- 2632-2153
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/capoe/benchml
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: 'BenchML: An extensible pipelining framework for benchmarking representations
of materials and molecules at scale'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 3
year: '2022'
...
---
_id: '12249'
abstract:
- lang: eng
text: 'The chemical potential of a component in a solution is defined as the free
energy change as the amount of that component changes. Computing this fundamental
thermodynamic property from atomistic simulations is notoriously difficult because
of the convergence issues involved in free energy methods and finite size effects.
This Communication presents the so-called S0 method, which can be used to obtain
chemical potentials from static structure factors computed from equilibrium molecular
dynamics simulations under the isothermal–isobaric ensemble. This new method is
demonstrated on the systems of binary Lennard-Jones particles, urea–water mixtures,
a NaCl aqueous solution, and a high-pressure carbon–hydrogen mixture. '
acknowledgement: I thank Daan Frenkel for providing feedback on an early draft and
for stimulating discussions, Debashish Mukherji and Robinson Cortes-Huerto for sharing
the trajectories for urea–water mixtures, and Aleks Reinhardt for useful suggestions
on the manuscript.
article_number: '121101'
article_processing_charge: No
article_type: original
author:
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
citation:
ama: Cheng B. Computing chemical potentials of solutions from structure factors.
The Journal of Chemical Physics. 2022;157(12). doi:10.1063/5.0107059
apa: Cheng, B. (2022). Computing chemical potentials of solutions from structure
factors. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0107059
chicago: Cheng, Bingqing. “Computing Chemical Potentials of Solutions from Structure
Factors.” The Journal of Chemical Physics. AIP Publishing, 2022. https://doi.org/10.1063/5.0107059.
ieee: B. Cheng, “Computing chemical potentials of solutions from structure factors,”
The Journal of Chemical Physics, vol. 157, no. 12. AIP Publishing, 2022.
ista: Cheng B. 2022. Computing chemical potentials of solutions from structure factors.
The Journal of Chemical Physics. 157(12), 121101.
mla: Cheng, Bingqing. “Computing Chemical Potentials of Solutions from Structure
Factors.” The Journal of Chemical Physics, vol. 157, no. 12, 121101, AIP
Publishing, 2022, doi:10.1063/5.0107059.
short: B. Cheng, The Journal of Chemical Physics 157 (2022).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: "All PYTHON scripts and simulation input files generated
for the study are in the SI repository https://github.com/BingqingCheng/S0, Ref.
29.\r\n29. B. Cheng, https://github.com/BingqingCheng/S0 “Data repository for the
S0 method” (2020)."
date_created: 2023-01-16T09:56:20Z
date_published: 2022-09-30T00:00:00Z
date_updated: 2026-08-07T11:22:29Z
day: '30'
ddc:
- '530'
- '540'
department:
- _id: BiCh
doi: 10.1063/5.0107059
external_id:
isi:
- '000862856000003'
pmid:
- '36182422'
file:
- access_level: open_access
checksum: b0915b706568a663a9a372fca24adf35
content_type: application/pdf
creator: dernst
date_created: 2023-01-30T09:07:00Z
date_updated: 2023-01-30T09:07:00Z
file_id: '12441'
file_name: 2022_JourChemPhysics_Cheng.pdf
file_size: 4402384
relation: main_file
success: 1
file_date_updated: 2023-01-30T09:07:00Z
has_accepted_license: '1'
intvolume: ' 157'
isi: 1
issue: '12'
keyword:
- Physical and Theoretical Chemistry
- General Physics and Astronomy
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
publication: The Journal of Chemical Physics
publication_identifier:
eissn:
- 1089-7690
issn:
- 0021-9606
publication_status: published
publisher: AIP Publishing
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/ BingqingCheng/S0
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Computing chemical potentials of solutions from structure factors
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 157
year: '2022'
...
---
_id: '11937'
abstract:
- lang: eng
text: Most experimentally known high-pressure ice phases have a body-centred cubic
(bcc) oxygen lattice. Our large-scale molecular-dynamics simulations with a machine-learning
potential indicate that, amongst these bcc ice phases, ices VII, VII′ and X are
the same thermodynamic phase under different conditions, whereas superionic ice
VII″ has a first-order phase boundary with ice VII′. Moreover, at about 300 GPa,
the transformation between ice X and the Pbcm phase has a sharp structural change
but no apparent activation barrier, whilst at higher pressures the barrier gradually
increases. Our study thus clarifies the phase behaviour of the high-pressure ices
and reveals peculiar solid–solid transition mechanisms not known in other systems.
acknowledgement: We thank Chris Pickard for providing the initial structures of high-pressure
ice phases and for useful advice. A.R. and B.C. acknowledge resources provided by
the Cambridge Tier-2 system operated by the University of Cambridge Research Computing
Service funded by EPSRC Tier-2 capital grant EP/P020259/1. M.B. was supported by
the European Union within the Marie Skłodowska-Curie actions (xICE grant 894725)
and acknowledges computational resources at North-German Supercomputing Alliance
(HLRN) facilities. S.H. and M.M. acknowledge support from LDRD 19-ERD-031 and computing
support from the Lawrence Livermore National Laboratory (LLNL) Institutional Computing
Grand Challenge programme. F.C. acknowledges support from the US DOE Office of Science,
Office of Fusion Energy Sciences. Lawrence Livermore National Laboratory is operated
by Lawrence Livermore National Security, LLC, for the U.S. Department of Energy,
National Nuclear Security Administration under Contract DE-AC52-07NA27344.
article_number: '4707'
article_processing_charge: No
article_type: original
author:
- first_name: Aleks
full_name: Reinhardt, Aleks
last_name: Reinhardt
- first_name: Mandy
full_name: Bethkenhagen, Mandy
last_name: Bethkenhagen
- first_name: Federica
full_name: Coppari, Federica
last_name: Coppari
- first_name: Marius
full_name: Millot, Marius
last_name: Millot
- first_name: Sebastien
full_name: Hamel, Sebastien
last_name: Hamel
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
citation:
ama: Reinhardt A, Bethkenhagen M, Coppari F, Millot M, Hamel S, Cheng B. Thermodynamics
of high-pressure ice phases explored with atomistic simulations. Nature Communications.
2022;13. doi:10.1038/s41467-022-32374-1
apa: Reinhardt, A., Bethkenhagen, M., Coppari, F., Millot, M., Hamel, S., &
Cheng, B. (2022). Thermodynamics of high-pressure ice phases explored with atomistic
simulations. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-022-32374-1
chicago: Reinhardt, Aleks, Mandy Bethkenhagen, Federica Coppari, Marius Millot,
Sebastien Hamel, and Bingqing Cheng. “Thermodynamics of High-Pressure Ice Phases
Explored with Atomistic Simulations.” Nature Communications. Springer Nature,
2022. https://doi.org/10.1038/s41467-022-32374-1.
ieee: A. Reinhardt, M. Bethkenhagen, F. Coppari, M. Millot, S. Hamel, and B. Cheng,
“Thermodynamics of high-pressure ice phases explored with atomistic simulations,”
Nature Communications, vol. 13. Springer Nature, 2022.
ista: Reinhardt A, Bethkenhagen M, Coppari F, Millot M, Hamel S, Cheng B. 2022.
Thermodynamics of high-pressure ice phases explored with atomistic simulations.
Nature Communications. 13, 4707.
mla: Reinhardt, Aleks, et al. “Thermodynamics of High-Pressure Ice Phases Explored
with Atomistic Simulations.” Nature Communications, vol. 13, 4707, Springer
Nature, 2022, doi:10.1038/s41467-022-32374-1.
short: A. Reinhardt, M. Bethkenhagen, F. Coppari, M. Millot, S. Hamel, B. Cheng,
Nature Communications 13 (2022).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: All original data generated for the study are in the SI
repository https://github.com/BingqingCheng/highP-ice.
date_created: 2022-08-21T22:01:55Z
date_published: 2022-08-10T00:00:00Z
date_updated: 2026-08-07T11:18:25Z
day: '10'
ddc:
- '540'
department:
- _id: BiCh
doi: 10.1038/s41467-022-32374-1
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oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
eissn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
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status: public
supplementarymaterial: yes
title: Thermodynamics of high-pressure ice phases explored with atomistic simulations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 13
year: '2022'
...
---
_id: '9695'
abstract:
- lang: eng
text: Real-world data typically contain a large number of features that are often
heterogeneous in nature, relevance, and also units of measure. When assessing
the similarity between data points, one can build various distance measures using
subsets of these features. Using the fewest features but still retaining sufficient
information about the system is crucial in many statistical learning approaches,
particularly when data are sparse. We introduce a statistical test that can assess
the relative information retained when using two different distance measures,
and determine if they are equivalent, independent, or if one is more informative
than the other. This in turn allows finding the most informative distance measure
out of a pool of candidates. The approach is applied to find the most relevant
policy variables for controlling the Covid-19 epidemic and to find compact yet
informative representations of atomic structures, but its potential applications
are wide ranging in many branches of science.
acknowledgement: "A.G., C.Z., and A.L. gratefully acknowledge support from the European
Union’s Horizon 2020 research and innovation program (grant number 824143, MaX ’Materials
design at the eXascale’ Centre of Excellence). The authors would like to thank M.
Carli, D. Doimo, and I. Macocco (SISSA) for the discussions, M. Caro (Aalto University)
for the precious help in using the TurboGap code, and D. Frenkel (University of
Cambridge) and N. Bernstein (US Naval Research Laboratory) for useful feedback on
the manuscript.\r\nThis work is supported in part by funds from the European Union’s
Horizon 2020 research and innovation program (grant number 824143, MaX ’Materials
design at the eXascale’ Centre of Excellence)."
article_number: pgac039
article_processing_charge: Yes
article_type: original
arxiv: 1
author:
- first_name: Aldo
full_name: Glielmo, Aldo
last_name: Glielmo
- first_name: Claudio
full_name: Zeni, Claudio
last_name: Zeni
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
- first_name: Gabor
full_name: Csanyi, Gabor
last_name: Csanyi
- first_name: Alessandro
full_name: Laio, Alessandro
last_name: Laio
citation:
ama: Glielmo A, Zeni C, Cheng B, Csanyi G, Laio A. Ranking the information content
of distance measures. PNAS Nexus. 2022;1(2). doi:10.1093/pnasnexus/pgac039
apa: Glielmo, A., Zeni, C., Cheng, B., Csanyi, G., & Laio, A. (2022). Ranking
the information content of distance measures. PNAS Nexus. Oxford University
Press. https://doi.org/10.1093/pnasnexus/pgac039
chicago: Glielmo, Aldo, Claudio Zeni, Bingqing Cheng, Gabor Csanyi, and Alessandro
Laio. “Ranking the Information Content of Distance Measures.” PNAS Nexus.
Oxford University Press, 2022. https://doi.org/10.1093/pnasnexus/pgac039.
ieee: A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, and A. Laio, “Ranking the information
content of distance measures,” PNAS Nexus, vol. 1, no. 2. Oxford University
Press, 2022.
ista: Glielmo A, Zeni C, Cheng B, Csanyi G, Laio A. 2022. Ranking the information
content of distance measures. PNAS Nexus. 1(2), pgac039.
mla: Glielmo, Aldo, et al. “Ranking the Information Content of Distance Measures.”
PNAS Nexus, vol. 1, no. 2, pgac039, Oxford University Press, 2022, doi:10.1093/pnasnexus/pgac039.
short: A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, A. Laio, PNAS Nexus 1 (2022).
das_tickbox: '1'
dataavailabilitystatement: Details on the datasets used are available in the supplementary
material.
date_created: 2021-07-20T06:31:53Z
date_published: 2022-05-01T00:00:00Z
date_updated: 2026-08-07T11:23:54Z
day: '01'
ddc:
- '000'
department:
- _id: BiCh
doi: 10.1093/pnasnexus/pgac039
external_id:
arxiv:
- '2104.15079'
pmid:
- '36713323'
file:
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creator: dernst
date_created: 2024-05-29T06:21:33Z
date_updated: 2024-05-29T06:21:33Z
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file_name: 2022_PNASNexus_Glielmo.pdf
file_size: 2005167
relation: main_file
success: 1
file_date_updated: 2024-05-29T06:21:33Z
has_accepted_license: '1'
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issue: '2'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: PNAS Nexus
publication_identifier:
eissn:
- 2752-6542
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
researchdata_availability: no
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Ranking the information content of distance measures
tmp:
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(CC BY-NC-ND 4.0)
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volume: 1
year: '2022'
...
---
_id: '12237'
abstract:
- lang: eng
text: Thermoelectric technology requires synthesizing complex materials where not
only the crystal structure but also other structural features such as defects,
grain size and orientation, and interfaces must be controlled. To date, conventional
solid-state techniques are unable to provide this level of control. Herein, we
present a synthetic approach in which dense inorganic thermoelectric materials
are produced by the consolidation of well-defined nanoparticle powders. The idea
is that controlling the characteristics of the powder allows the chemical transformations
that take place during consolidation to be guided, ultimately yielding inorganic
solids with targeted features. Different from conventional methods, syntheses
in solution can produce particles with unprecedented control over their size,
shape, crystal structure, composition, and surface chemistry. However, to date,
most works have focused only on the low-cost benefits of this strategy. In this
perspective, we first cover the opportunities that solution processing of the
powder offers, emphasizing the potential structural features that can be controlled
by precisely engineering the inorganic core of the particle, the surface, and
the organization of the particles before consolidation. We then discuss the challenges
of this synthetic approach and more practical matters related to solution processing.
Finally, we suggest some good practices for adequate knowledge transfer and improving
reproducibility among different laboratories.
acknowledgement: This work was financially supported by ISTA and the Werner Siemens
Foundation. M.C. has received funding from the European Union’s Horizon 2020 research
and innovation program under the Marie Skłodowska-Curie Grant Agreement no. 665385.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Christine
full_name: Fiedler, Christine
id: bd3fceba-dc74-11ea-a0a7-c17f71817366
last_name: Fiedler
- first_name: Tobias
full_name: Kleinhanns, Tobias
id: 8BD9DE16-AB3C-11E9-9C8C-2A03E6697425
last_name: Kleinhanns
orcid: 0000-0003-1537-7436
- first_name: Maria
full_name: Garcia, Maria
id: 6e5c50b8-97dc-11ed-be98-b0a74c84cae0
last_name: Garcia
- first_name: Seungho
full_name: Lee, Seungho
id: BB243B88-D767-11E9-B658-BC13E6697425
last_name: Lee
orcid: 0000-0002-6962-8598
- first_name: Mariano
full_name: Calcabrini, Mariano
id: 45D7531A-F248-11E8-B48F-1D18A9856A87
last_name: Calcabrini
orcid: 0000-0003-4566-5877
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
citation:
ama: 'Fiedler C, Kleinhanns T, Garcia M, Lee S, Calcabrini M, Ibáñez M. Solution-processed
inorganic thermoelectric materials: Opportunities and challenges ∇. Chemistry
of Materials. 2022;34(19):8471-8489. doi:10.1021/acs.chemmater.2c01967'
apa: 'Fiedler, C., Kleinhanns, T., Garcia, M., Lee, S., Calcabrini, M., & Ibáñez,
M. (2022). Solution-processed inorganic thermoelectric materials: Opportunities
and challenges ∇. Chemistry of Materials. American Chemical Society. https://doi.org/10.1021/acs.chemmater.2c01967'
chicago: 'Fiedler, Christine, Tobias Kleinhanns, Maria Garcia, Seungho Lee, Mariano
Calcabrini, and Maria Ibáñez. “Solution-Processed Inorganic Thermoelectric Materials:
Opportunities and Challenges ∇.” Chemistry of Materials. American Chemical
Society, 2022. https://doi.org/10.1021/acs.chemmater.2c01967.'
ieee: 'C. Fiedler, T. Kleinhanns, M. Garcia, S. Lee, M. Calcabrini, and M. Ibáñez,
“Solution-processed inorganic thermoelectric materials: Opportunities and challenges
∇,” Chemistry of Materials, vol. 34, no. 19. American Chemical Society,
pp. 8471–8489, 2022.'
ista: 'Fiedler C, Kleinhanns T, Garcia M, Lee S, Calcabrini M, Ibáñez M. 2022. Solution-processed
inorganic thermoelectric materials: Opportunities and challenges ∇. Chemistry
of Materials. 34(19), 8471–8489.'
mla: 'Fiedler, Christine, et al. “Solution-Processed Inorganic Thermoelectric Materials:
Opportunities and Challenges ∇.” Chemistry of Materials, vol. 34, no. 19,
American Chemical Society, 2022, pp. 8471–89, doi:10.1021/acs.chemmater.2c01967.'
short: C. Fiedler, T. Kleinhanns, M. Garcia, S. Lee, M. Calcabrini, M. Ibáñez, Chemistry
of Materials 34 (2022) 8471–8489.
corr_author: '1'
date_created: 2023-01-16T09:51:26Z
date_published: 2022-09-20T00:00:00Z
date_updated: 2026-08-11T12:39:14Z
day: '20'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.1021/acs.chemmater.2c01967
ec_funded: 1
external_id:
isi:
- '000917837600001'
pmid:
- '36248227'
file:
- access_level: open_access
checksum: f7143e44ab510519d1949099c3558532
content_type: application/pdf
creator: dernst
date_created: 2023-01-30T07:35:09Z
date_updated: 2023-01-30T07:35:09Z
file_id: '12434'
file_name: 2022_ChemistryMaterials_Fiedler.pdf
file_size: 10923495
relation: main_file
success: 1
file_date_updated: 2023-01-30T07:35:09Z
has_accepted_license: '1'
intvolume: ' 34'
isi: 1
issue: '19'
keyword:
- Materials Chemistry
- General Chemical Engineering
- General Chemistry
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: 8471-8489
pmid: 1
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
publication: Chemistry of Materials
publication_identifier:
eissn:
- 1520-5002
issn:
- 0897-4756
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
related_material:
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relation: dissertation_contains
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- id: '12885'
relation: dissertation_contains
status: public
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relation: dissertation_contains
status: public
- id: '22626'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: 'Solution-processed inorganic thermoelectric materials: Opportunities and challenges
∇'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2022'
...
---
_id: '11700'
abstract:
- lang: eng
text: This paper contains two contributions in the study of optimal transport on
metric graphs. Firstly, we prove a Benamou–Brenier formula for the Wasserstein
distance, which establishes the equivalence of static and dynamical optimal transport.
Secondly, in the spirit of Jordan–Kinderlehrer–Otto, we show that McKean–Vlasov
equations can be formulated as gradient flow of the free energy in the Wasserstein
space of probability measures. The proofs of these results are based on careful
regularisation arguments to circumvent some of the difficulties arising in metric
graphs, namely, branching of geodesics and the failure of semi-convexity of entropy
functionals in the Wasserstein space.
acknowledgement: "ME acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG),
Grant SFB 1283/2 2021 – 317210226. DF and JM were supported by the European Research
Council (ERC) under the European Union’s Horizon 2020 research and innovation programme
(grant agreement No 716117). JM also acknowledges support by the Austrian Science
Fund (FWF), Project SFB F65. The work of DM was partially supported by the Deutsche
Forschungsgemeinschaft\r\n(DFG), Grant 397230547. This article is based upon work
from COST Action\r\n18232 MAT-DYN-NET, supported by COST (European Cooperation in
Science\r\nand Technology), www.cost.eu. We wish to thank Martin Burger and Jan-Frederik\r\nPietschmann
for useful discussions. We are grateful to the anonymous referees for\r\ntheir careful
reading and useful suggestions."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Matthias
full_name: Erbar, Matthias
last_name: Erbar
- first_name: Dominik L
full_name: Forkert, Dominik L
id: 35C79D68-F248-11E8-B48F-1D18A9856A87
last_name: Forkert
- first_name: Jan
full_name: Maas, Jan
id: 4C5696CE-F248-11E8-B48F-1D18A9856A87
last_name: Maas
orcid: 0000-0002-0845-1338
- first_name: Delio
full_name: Mugnolo, Delio
last_name: Mugnolo
citation:
ama: Erbar M, Forkert DL, Maas J, Mugnolo D. Gradient flow formulation of diffusion
equations in the Wasserstein space over a metric graph. Networks and Heterogeneous
Media. 2022;17(5):687-717. doi:10.3934/nhm.2022023
apa: Erbar, M., Forkert, D. L., Maas, J., & Mugnolo, D. (2022). Gradient flow
formulation of diffusion equations in the Wasserstein space over a metric graph.
Networks and Heterogeneous Media. AIMS. https://doi.org/10.3934/nhm.2022023
chicago: Erbar, Matthias, Dominik L Forkert, Jan Maas, and Delio Mugnolo. “Gradient
Flow Formulation of Diffusion Equations in the Wasserstein Space over a Metric
Graph.” Networks and Heterogeneous Media. AIMS, 2022. https://doi.org/10.3934/nhm.2022023.
ieee: M. Erbar, D. L. Forkert, J. Maas, and D. Mugnolo, “Gradient flow formulation
of diffusion equations in the Wasserstein space over a metric graph,” Networks
and Heterogeneous Media, vol. 17, no. 5. AIMS, pp. 687–717, 2022.
ista: Erbar M, Forkert DL, Maas J, Mugnolo D. 2022. Gradient flow formulation of
diffusion equations in the Wasserstein space over a metric graph. Networks and
Heterogeneous Media. 17(5), 687–717.
mla: Erbar, Matthias, et al. “Gradient Flow Formulation of Diffusion Equations in
the Wasserstein Space over a Metric Graph.” Networks and Heterogeneous Media,
vol. 17, no. 5, AIMS, 2022, pp. 687–717, doi:10.3934/nhm.2022023.
short: M. Erbar, D.L. Forkert, J. Maas, D. Mugnolo, Networks and Heterogeneous Media
17 (2022) 687–717.
corr_author: '1'
date_created: 2022-07-31T22:01:46Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2026-08-12T06:20:30Z
day: '01'
department:
- _id: JaMa
doi: 10.3934/nhm.2022023
ec_funded: 1
external_id:
arxiv:
- '2105.05677'
isi:
- '000812422100001'
intvolume: ' 17'
isi: 1
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2105.05677
month: '10'
oa: 1
oa_version: Preprint
page: 687-717
project:
- _id: 256E75B8-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '716117'
name: Optimal Transport and Stochastic Dynamics
- _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2
grant_number: F6504
name: Taming Complexity in Partial Differential Systems
publication: Networks and Heterogeneous Media
publication_identifier:
eissn:
- 1556-181X
issn:
- 1556-1801
publication_status: published
publisher: AIMS
quality_controlled: '1'
scopus_import: '1'
status: public
title: Gradient flow formulation of diffusion equations in the Wasserstein space over
a metric graph
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2022'
...
---
_id: '12299'
abstract:
- lang: eng
text: 'Transfer learning is a classic paradigm by which models pretrained on large
“upstream” datasets are adapted to yield good results on “downstream” specialized
datasets. Generally, more accurate models on the “upstream” dataset tend to provide
better transfer accuracy “downstream”. In this work, we perform an in-depth investigation
of this phenomenon in the context of convolutional neural networks (CNNs) trained
on the ImageNet dataset, which have been pruned-that is, compressed by sparsifiying
their connections. We consider transfer using unstructured pruned models obtained
by applying several state-of-the-art pruning methods, including magnitude-based,
second-order, regrowth, lottery-ticket, and regularization approaches, in the
context of twelve standard transfer tasks. In a nutshell, our study shows that
sparse models can match or even outperform the transfer performance of dense models,
even at high sparsities, and, while doing so, can lead to significant inference
and even training speedups. At the same time, we observe and analyze significant
differences in the behaviour of different pruning methods. The code is available
at: https://github.com/IST-DASLab/sparse-imagenet-transfer.'
acknowledgement: he authors would like to sincerely thank Christoph Lampert and Nir
Shavit for fruitful discussions during the development of this work, and Eldar Kurtic
for experimental support. EI was supported in part by the FWF DK VGSCO, grant agreement
number W1260-N35, while AP and DA acknowledge generous support by the ERC, via Starting
Grant 805223 ScaleML.
article_processing_charge: No
arxiv: 1
author:
- first_name: Eugenia B
full_name: Iofinova, Eugenia B
id: f9a17499-f6e0-11ea-865d-fdf9a3f77117
last_name: Iofinova
orcid: 0000-0002-7778-3221
- first_name: Elena-Alexandra
full_name: Peste, Elena-Alexandra
id: 32D78294-F248-11E8-B48F-1D18A9856A87
last_name: Peste
- first_name: Mark
full_name: Kurtz, Mark
last_name: Kurtz
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
citation:
ama: 'Iofinova EB, Krumes A, Kurtz M, Alistarh D-A. How well do sparse ImageNet
models transfer? In: 2022 IEEE/CVF Conference on Computer Vision and Pattern
Recognition. IEEE; 2022:12256-12266. doi:10.1109/cvpr52688.2022.01195'
apa: 'Iofinova, E. B., Krumes, A., Kurtz, M., & Alistarh, D.-A. (2022). How
well do sparse ImageNet models transfer? In 2022 IEEE/CVF Conference on Computer
Vision and Pattern Recognition (pp. 12256–12266). New Orleans, LA, United
States: IEEE. https://doi.org/10.1109/cvpr52688.2022.01195'
chicago: Iofinova, Eugenia B, Alexandra Krumes, Mark Kurtz, and Dan-Adrian Alistarh.
“How Well Do Sparse ImageNet Models Transfer?” In 2022 IEEE/CVF Conference
on Computer Vision and Pattern Recognition, 12256–66. IEEE, 2022. https://doi.org/10.1109/cvpr52688.2022.01195.
ieee: E. B. Iofinova, A. Krumes, M. Kurtz, and D.-A. Alistarh, “How well do sparse
ImageNet models transfer?,” in 2022 IEEE/CVF Conference on Computer Vision
and Pattern Recognition, New Orleans, LA, United States, 2022, pp. 12256–12266.
ista: 'Iofinova EB, Krumes A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet
models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
CVPR: Computer Vision and Pattern Recognition, 12256–12266.'
mla: Iofinova, Eugenia B., et al. “How Well Do Sparse ImageNet Models Transfer?”
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE,
2022, pp. 12256–66, doi:10.1109/cvpr52688.2022.01195.
short: E.B. Iofinova, A. Krumes, M. Kurtz, D.-A. Alistarh, in:, 2022 IEEE/CVF Conference
on Computer Vision and Pattern Recognition, IEEE, 2022, pp. 12256–12266.
conference:
end_date: 2022-06-24
location: New Orleans, LA, United States
name: 'CVPR: Computer Vision and Pattern Recognition'
start_date: 2022-06-18
corr_author: '1'
date_created: 2023-01-16T10:06:00Z
date_published: 2022-09-27T00:00:00Z
date_updated: 2026-08-12T06:34:08Z
day: '27'
department:
- _id: DaAl
- _id: ChLa
doi: 10.1109/cvpr52688.2022.01195
ec_funded: 1
external_id:
arxiv:
- '2111.13445'
isi:
- '000870759105034'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2111.13445
month: '09'
oa: 1
oa_version: Preprint
page: 12256-12266
project:
- _id: 9B9290DE-BA93-11EA-9121-9846C619BF3A
grant_number: W1260-N35
name: Vienna Graduate School on Computational Optimization
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition
publication_identifier:
eissn:
- 2575-7075
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
record:
- id: '13074'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: How well do sparse ImageNet models transfer?
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
_id: '12161'
abstract:
- lang: eng
text: 'We introduce LIMES, a new method for learning with non-stationary streaming
data, inspired by the recent success of meta-learning. The main idea is not to
attempt to learn a single classifier that would have to work well across all occurring
data distributions, nor many separate classifiers, but to exploit a hybrid strategy:
we learn a single set of model parameters from which a specific classifier for
any specific data distribution is derived via classifier adaptation. Assuming
a multiclass classification setting with class-prior shift, the adaptation step
can be performed analytically with only the classifier’s bias terms being affected.
Another contribution of our work is an extrapolation step that predicts suitable
adaptation parameters for future time steps based on the previous data. In combination,
we obtain a lightweight procedure for learning from streaming data with varying
class distribution that adds no trainable parameters and almost no memory or computational
overhead compared to training a single model. Experiments on a set of exemplary
tasks using Twitter data show that LIMES achieves higher accuracy than alternative
approaches, especially with respect to the relevant real-world metric of lowest
within-day accuracy.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Paulina
full_name: Tomaszewska, Paulina
last_name: Tomaszewska
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Tomaszewska P, Lampert C. Lightweight conditional model extrapolation for
streaming data under class-prior shift. In: 26th International Conference on
Pattern Recognition. Vol 2022. IEEE; 2022:2128-2134. doi:10.1109/icpr56361.2022.9956195'
apa: 'Tomaszewska, P., & Lampert, C. (2022). Lightweight conditional model extrapolation
for streaming data under class-prior shift. In 26th International Conference
on Pattern Recognition (Vol. 2022, pp. 2128–2134). Montreal, Canada: IEEE.
https://doi.org/10.1109/icpr56361.2022.9956195'
chicago: Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model
Extrapolation for Streaming Data under Class-Prior Shift.” In 26th International
Conference on Pattern Recognition, 2022:2128–34. IEEE, 2022. https://doi.org/10.1109/icpr56361.2022.9956195.
ieee: P. Tomaszewska and C. Lampert, “Lightweight conditional model extrapolation
for streaming data under class-prior shift,” in 26th International Conference
on Pattern Recognition, Montreal, Canada, 2022, vol. 2022, pp. 2128–2134.
ista: 'Tomaszewska P, Lampert C. 2022. Lightweight conditional model extrapolation
for streaming data under class-prior shift. 26th International Conference on Pattern
Recognition. ICPR: International Conference on Pattern Recognition vol. 2022,
2128–2134.'
mla: Tomaszewska, Paulina, and Christoph Lampert. “Lightweight Conditional Model
Extrapolation for Streaming Data under Class-Prior Shift.” 26th International
Conference on Pattern Recognition, vol. 2022, IEEE, 2022, pp. 2128–34, doi:10.1109/icpr56361.2022.9956195.
short: P. Tomaszewska, C. Lampert, in:, 26th International Conference on Pattern
Recognition, IEEE, 2022, pp. 2128–2134.
conference:
end_date: 2022-08-25
location: Montreal, Canada
name: 'ICPR: International Conference on Pattern Recognition'
start_date: 2022-08-21
corr_author: '1'
date_created: 2023-01-12T12:09:38Z
date_published: 2022-11-29T00:00:00Z
date_updated: 2026-08-12T06:35:14Z
day: '29'
department:
- _id: ChLa
doi: 10.1109/icpr56361.2022.9956195
external_id:
arxiv:
- '2206.05181'
isi:
- '000897707602018'
intvolume: ' 2022'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2206.05181
month: '11'
oa: 1
oa_version: Preprint
page: 2128-2134
publication: 26th International Conference on Pattern Recognition
publication_identifier:
eisbn:
- '9781665490627'
eissn:
- 2831-7475
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Lightweight conditional model extrapolation for streaming data under class-prior
shift
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022
year: '2022'
...
---
_id: '12160'
abstract:
- lang: eng
text: We present the Filecoin Hierarchical Consensus framework, which aims to overcome
the throughput challenges of blockchain consensus by horizontally scaling the
network. Unlike traditional sharding designs, based on partitioning the state
of the network, our solution centers on the concept of subnets -which are organized
hierarchically- and can be spawned on-demand to manage new state. Child sub nets
are firewalled from parent subnets, have their own specific policies, and run
a different consensus algorithm, increasing the network capacity and enabling
new applications. Moreover, they benefit from the security of parent subnets by
periodically checkpointing state. In this paper, we introduce the overall system
architecture, our detailed designs for cross-net transaction handling, and the
open questions that we are still exploring.
article_processing_charge: No
author:
- first_name: Alfonso
full_name: De la Rocha, Alfonso
last_name: De la Rocha
- first_name: Eleftherios
full_name: Kokoris Kogias, Eleftherios
id: f5983044-d7ef-11ea-ac6d-fd1430a26d30
last_name: Kokoris Kogias
orcid: 0000-0002-8827-3382
- first_name: Jorge M.
full_name: Soares, Jorge M.
last_name: Soares
- first_name: Marko
full_name: Vukolic, Marko
last_name: Vukolic
citation:
ama: 'De la Rocha A, Kokoris Kogias E, Soares JM, Vukolic M. Hierarchical consensus:
A horizontal scaling framework for blockchains. In: 42nd International Conference
on Distributed Computing Systems Workshops. Vol 2022. IEEE; 2022:45-52. doi:10.1109/icdcsw56584.2022.00018'
apa: 'De la Rocha, A., Kokoris Kogias, E., Soares, J. M., & Vukolic, M. (2022).
Hierarchical consensus: A horizontal scaling framework for blockchains. In 42nd
International Conference on Distributed Computing Systems Workshops (Vol.
2022, pp. 45–52). Bologna, Italy: IEEE. https://doi.org/10.1109/icdcsw56584.2022.00018'
chicago: 'De la Rocha, Alfonso, Eleftherios Kokoris Kogias, Jorge M. Soares, and
Marko Vukolic. “Hierarchical Consensus: A Horizontal Scaling Framework for Blockchains.”
In 42nd International Conference on Distributed Computing Systems Workshops,
2022:45–52. IEEE, 2022. https://doi.org/10.1109/icdcsw56584.2022.00018.'
ieee: 'A. De la Rocha, E. Kokoris Kogias, J. M. Soares, and M. Vukolic, “Hierarchical
consensus: A horizontal scaling framework for blockchains,” in 42nd International
Conference on Distributed Computing Systems Workshops, Bologna, Italy, 2022,
vol. 2022, pp. 45–52.'
ista: 'De la Rocha A, Kokoris Kogias E, Soares JM, Vukolic M. 2022. Hierarchical
consensus: A horizontal scaling framework for blockchains. 42nd International
Conference on Distributed Computing Systems Workshops. ICDCSW: International Conference
on Distributed Computing Systems Workshop vol. 2022, 45–52.'
mla: 'De la Rocha, Alfonso, et al. “Hierarchical Consensus: A Horizontal Scaling
Framework for Blockchains.” 42nd International Conference on Distributed Computing
Systems Workshops, vol. 2022, IEEE, 2022, pp. 45–52, doi:10.1109/icdcsw56584.2022.00018.'
short: A. De la Rocha, E. Kokoris Kogias, J.M. Soares, M. Vukolic, in:, 42nd International
Conference on Distributed Computing Systems Workshops, IEEE, 2022, pp. 45–52.
conference:
end_date: 2022-07-10
location: Bologna, Italy
name: 'ICDCSW: International Conference on Distributed Computing Systems Workshop'
start_date: 2022-07-10
date_created: 2023-01-12T12:09:28Z
date_published: 2022-11-29T00:00:00Z
date_updated: 2026-08-12T06:34:42Z
day: '29'
department:
- _id: ElKo
doi: 10.1109/icdcsw56584.2022.00018
external_id:
isi:
- '000895984800009'
intvolume: ' 2022'
isi: 1
language:
- iso: eng
month: '11'
oa_version: None
page: 45-52
publication: 42nd International Conference on Distributed Computing Systems Workshops
publication_identifier:
eisbn:
- '9781665488792'
eissn:
- 2332-5666
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Hierarchical consensus: A horizontal scaling framework for blockchains'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022
year: '2022'
...
---
_id: '12432'
abstract:
- lang: eng
text: "We present CertifyHAM, a deterministic algorithm that takes a graph G as
input and either finds a Hamilton cycle of G or outputs that such a cycle does
not exist. If G ∼ G(n, p) and p ≥\r\n100 log n/n then the expected running time
of CertifyHAM is O(n/p) which is best possible. This improves upon previous results
due to Gurevich and Shelah, Thomason and Alon, and\r\nKrivelevich, who proved
analogous results for p being constant, p ≥ 12n −1/3 and p ≥ 70n\r\n−1/2 respectively."
acknowledgement: "This project has received funding from the European Union’s Horizon
2020\r\nresearch and innovation programme under the Marie Skłodowska-Curie grant\r\nagreement
No 101034413"
article_processing_charge: No
author:
- first_name: Michael
full_name: Anastos, Michael
id: 0b2a4358-bb35-11ec-b7b9-e3279b593dbb
last_name: Anastos
citation:
ama: 'Anastos M. Solving the Hamilton cycle problem fast on average. In: 63rd
Annual IEEE Symposium on Foundations of Computer Science. Vol 2022-October.
IEEE; 2022:919-930. doi:10.1109/FOCS54457.2022.00091'
apa: 'Anastos, M. (2022). Solving the Hamilton cycle problem fast on average. In
63rd Annual IEEE Symposium on Foundations of Computer Science (Vol. 2022–October,
pp. 919–930). Denver, CO, United States: IEEE. https://doi.org/10.1109/FOCS54457.2022.00091'
chicago: Anastos, Michael. “Solving the Hamilton Cycle Problem Fast on Average.”
In 63rd Annual IEEE Symposium on Foundations of Computer Science, 2022–October:919–30.
IEEE, 2022. https://doi.org/10.1109/FOCS54457.2022.00091.
ieee: M. Anastos, “Solving the Hamilton cycle problem fast on average,” in 63rd
Annual IEEE Symposium on Foundations of Computer Science, Denver, CO, United
States, 2022, vol. 2022–October, pp. 919–930.
ista: 'Anastos M. 2022. Solving the Hamilton cycle problem fast on average. 63rd
Annual IEEE Symposium on Foundations of Computer Science. FOCS: Foundations of
Computer Science vol. 2022–October, 919–930.'
mla: Anastos, Michael. “Solving the Hamilton Cycle Problem Fast on Average.” 63rd
Annual IEEE Symposium on Foundations of Computer Science, vol. 2022–October,
IEEE, 2022, pp. 919–30, doi:10.1109/FOCS54457.2022.00091.
short: M. Anastos, in:, 63rd Annual IEEE Symposium on Foundations of Computer Science,
IEEE, 2022, pp. 919–930.
conference:
end_date: 2022-11-03
location: Denver, CO, United States
name: 'FOCS: Foundations of Computer Science'
start_date: 2022-10-31
corr_author: '1'
date_created: 2023-01-29T23:00:59Z
date_published: 2022-12-01T00:00:00Z
date_updated: 2026-08-12T06:34:24Z
day: '01'
department:
- _id: MaKw
doi: 10.1109/FOCS54457.2022.00091
ec_funded: 1
external_id:
isi:
- '000909382900084'
isi: 1
language:
- iso: eng
month: '12'
oa_version: None
page: 919-930
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
call_identifier: H2020
grant_number: '101034413'
name: 'IST-BRIDGE: International postdoctoral program'
publication: 63rd Annual IEEE Symposium on Foundations of Computer Science
publication_identifier:
isbn:
- '9781665455190'
issn:
- 0272-5428
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Solving the Hamilton cycle problem fast on average
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022-October
year: '2022'
...
---
_id: '12017'
abstract:
- lang: eng
text: 'In the classic adversarial communication problem, two parties communicate
over a noisy channel in the presence of a malicious jamming adversary. The arbitrarily
varying channels (AVCs) offer an elegant framework to study a wide range of interesting
adversary models. The optimal throughput or capacity over such AVCs is intimately
tied to the underlying adversary model; in some cases, capacity is unknown and
the problem is known to be notoriously hard. The omniscient adversary, one which
knows the sender’s entire channel transmission a priori, is one of such classic
models of interest; the capacity under such an adversary remains an exciting open
problem. The myopic adversary is a generalization of that model where the adversary’s
observation may be corrupted over a noisy discrete memoryless channel. Through
the adversary’s myopicity, one can unify the slew of different adversary models,
ranging from the omniscient adversary to one that is completely blind to the transmission
(the latter is the well known oblivious model where the capacity is fully characterized).In
this work, we present new results on the capacity under both the omniscient and
myopic adversary models. We completely characterize the positive capacity threshold
over general AVCs with omniscient adversaries. The characterization is in terms
of two key combinatorial objects: the set of completely positive distributions
and the CP-confusability set. For omniscient AVCs with positive capacity, we present
non-trivial lower and upper bounds on the capacity; unlike some of the previous
bounds, our bounds hold under fairly general input and jamming constraints. Our
lower bound improves upon the generalized Gilbert-Varshamov bound for general
AVCs while the upper bound generalizes the well known Elias-Bassalygo bound (known
for binary and q-ary alphabets). For the myopic AVCs, we build on prior results
known for the so-called sufficiently myopic model, and present new results on
the positive rate communication threshold over the so-called insufficiently myopic
regime (a completely insufficient myopic adversary specializes to an omniscient
adversary). We present interesting examples for the widely studied models of adversarial
bit-flip and bit-erasure channels. In fact, for the bit-flip AVC with additive
adversarial noise as well as random noise, we completely characterize the omniscient
model capacity when the random noise is sufficiently large vis-a-vis the adversary’s
budget.'
article_processing_charge: No
author:
- first_name: Anuj Kumar
full_name: Yadav, Anuj Kumar
last_name: Yadav
- first_name: Mohammadreza
full_name: Alimohammadi, Mohammadreza
last_name: Alimohammadi
- first_name: Yihan
full_name: Zhang, Yihan
id: 2ce5da42-b2ea-11eb-bba5-9f264e9d002c
last_name: Zhang
orcid: 0000-0002-6465-6258
- first_name: Amitalok J.
full_name: Budkuley, Amitalok J.
last_name: Budkuley
- first_name: Sidharth
full_name: Jaggi, Sidharth
last_name: Jaggi
citation:
ama: 'Yadav AK, Alimohammadi M, Zhang Y, Budkuley AJ, Jaggi S. New results on AVCs
with omniscient and myopic adversaries. In: 2022 IEEE International Symposium
on Information Theory. Vol 2022. IEEE; 2022:2535-2540. doi:10.1109/ISIT50566.2022.9834632'
apa: 'Yadav, A. K., Alimohammadi, M., Zhang, Y., Budkuley, A. J., & Jaggi, S.
(2022). New results on AVCs with omniscient and myopic adversaries. In 2022
IEEE International Symposium on Information Theory (Vol. 2022, pp. 2535–2540).
Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834632'
chicago: Yadav, Anuj Kumar, Mohammadreza Alimohammadi, Yihan Zhang, Amitalok J.
Budkuley, and Sidharth Jaggi. “New Results on AVCs with Omniscient and Myopic
Adversaries.” In 2022 IEEE International Symposium on Information Theory,
2022:2535–40. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834632.
ieee: A. K. Yadav, M. Alimohammadi, Y. Zhang, A. J. Budkuley, and S. Jaggi, “New
results on AVCs with omniscient and myopic adversaries,” in 2022 IEEE International
Symposium on Information Theory, Espoo, Finland, 2022, vol. 2022, pp. 2535–2540.
ista: 'Yadav AK, Alimohammadi M, Zhang Y, Budkuley AJ, Jaggi S. 2022. New results
on AVCs with omniscient and myopic adversaries. 2022 IEEE International Symposium
on Information Theory. ISIT: Internation Symposium on Information Theory vol.
2022, 2535–2540.'
mla: Yadav, Anuj Kumar, et al. “New Results on AVCs with Omniscient and Myopic Adversaries.”
2022 IEEE International Symposium on Information Theory, vol. 2022, IEEE,
2022, pp. 2535–40, doi:10.1109/ISIT50566.2022.9834632.
short: A.K. Yadav, M. Alimohammadi, Y. Zhang, A.J. Budkuley, S. Jaggi, in:, 2022
IEEE International Symposium on Information Theory, IEEE, 2022, pp. 2535–2540.
conference:
end_date: 2022-07-01
location: Espoo, Finland
name: 'ISIT: Internation Symposium on Information Theory'
start_date: 2022-06-26
date_created: 2022-09-04T22:02:06Z
date_published: 2022-08-03T00:00:00Z
date_updated: 2026-08-12T06:36:54Z
day: '03'
department:
- _id: MaMo
doi: 10.1109/ISIT50566.2022.9834632
external_id:
isi:
- '001254261902116'
intvolume: ' 2022'
isi: 1
language:
- iso: eng
month: '08'
oa_version: None
page: 2535-2540
publication: 2022 IEEE International Symposium on Information Theory
publication_identifier:
isbn:
- '9781665421591'
issn:
- 2157-8095
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: New results on AVCs with omniscient and myopic adversaries
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022
year: '2022'
...
---
_id: '12018'
abstract:
- lang: eng
text: We study the problem of characterizing the maximal rates of list decoding
in Euclidean spaces for finite list sizes. For any positive integer L ≥ 2 and
real N > 0, we say that a subset C⊂Rn is an (N,L – 1)-multiple packing or an (N,L–
1)-list decodable code if every Euclidean ball of radius nN−−−√ in ℝ n contains
no more than L − 1 points of C. We study this problem with and without ℓ 2 norm
constraints on C, and derive the best-known lower bounds on the maximal rate for
(N,L−1) multiple packing. Our bounds are obtained via error exponents for list
decoding over Additive White Gaussian Noise (AWGN) channels. We establish a curious
inequality which relates the error exponent, a quantity of average-case nature,
to the list-decoding radius, a quantity of worst-case nature. We derive various
bounds on the error exponent for list decoding in both bounded and unbounded settings
which could be of independent interest beyond multiple packing.
article_processing_charge: No
author:
- first_name: Yihan
full_name: Zhang, Yihan
id: 2ce5da42-b2ea-11eb-bba5-9f264e9d002c
last_name: Zhang
orcid: 0000-0002-6465-6258
- first_name: Shashank
full_name: Vatedka, Shashank
last_name: Vatedka
citation:
ama: 'Zhang Y, Vatedka S. Lower bounds on list decoding capacity using error exponents.
In: 2022 IEEE International Symposium on Information Theory. Vol 2022.
IEEE; 2022:1324-1329. doi:10.1109/ISIT50566.2022.9834815'
apa: 'Zhang, Y., & Vatedka, S. (2022). Lower bounds on list decoding capacity
using error exponents. In 2022 IEEE International Symposium on Information
Theory (Vol. 2022, pp. 1324–1329). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834815'
chicago: Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity
Using Error Exponents.” In 2022 IEEE International Symposium on Information
Theory, 2022:1324–29. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834815.
ieee: Y. Zhang and S. Vatedka, “Lower bounds on list decoding capacity using error
exponents,” in 2022 IEEE International Symposium on Information Theory,
Espoo, Finland, 2022, vol. 2022, pp. 1324–1329.
ista: 'Zhang Y, Vatedka S. 2022. Lower bounds on list decoding capacity using error
exponents. 2022 IEEE International Symposium on Information Theory. ISIT: International
Symposium on Information Theory vol. 2022, 1324–1329.'
mla: Zhang, Yihan, and Shashank Vatedka. “Lower Bounds on List Decoding Capacity
Using Error Exponents.” 2022 IEEE International Symposium on Information Theory,
vol. 2022, IEEE, 2022, pp. 1324–29, doi:10.1109/ISIT50566.2022.9834815.
short: Y. Zhang, S. Vatedka, in:, 2022 IEEE International Symposium on Information
Theory, IEEE, 2022, pp. 1324–1329.
conference:
end_date: 2022-07-01
location: Espoo, Finland
name: 'ISIT: International Symposium on Information Theory'
start_date: 2022-06-26
date_created: 2022-09-04T22:02:06Z
date_published: 2022-08-03T00:00:00Z
date_updated: 2026-08-12T06:37:09Z
day: '03'
department:
- _id: MaMo
doi: 10.1109/ISIT50566.2022.9834815
external_id:
isi:
- '001254261901080'
intvolume: ' 2022'
isi: 1
language:
- iso: eng
month: '08'
oa_version: None
page: 1324-1329
publication: 2022 IEEE International Symposium on Information Theory
publication_identifier:
isbn:
- '9781665421591'
issn:
- 2157-8095
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Lower bounds on list decoding capacity using error exponents
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022
year: '2022'
...
---
_id: '12019'
abstract:
- lang: eng
text: This paper studies combinatorial properties of codes for the Z-channel. A
Z-channel with error fraction τ takes as input a length-n binary codeword and
injects in an adversarial manner up to nτ asymmetric errors, i.e., errors that
only zero out bits but do not flip 0’s to 1’s. It is known that the largest (L
− 1)-list-decodable code for the Z-channel with error fraction τ has exponential
(in n) size if τ is less than a critical value that we call the Plotkin point
and has constant size if τ is larger than the threshold. The (L−1)-list-decoding
Plotkin point is known to be L−1L−1−L−LL−1. In this paper, we show that the largest
(L−1)-list-decodable code ε-above the Plotkin point has size Θ L (ε −3/2 ) for
any L − 1 ≥ 1.
article_processing_charge: No
author:
- first_name: Nikita
full_name: Polyanskii, Nikita
last_name: Polyanskii
- first_name: Yihan
full_name: Zhang, Yihan
id: 2ce5da42-b2ea-11eb-bba5-9f264e9d002c
last_name: Zhang
orcid: 0000-0002-6465-6258
citation:
ama: 'Polyanskii N, Zhang Y. List-decodable zero-rate codes for the Z-channel. In:
2022 IEEE International Symposium on Information Theory. Vol 2022. IEEE;
2022:2553-2558. doi:10.1109/ISIT50566.2022.9834829'
apa: 'Polyanskii, N., & Zhang, Y. (2022). List-decodable zero-rate codes for
the Z-channel. In 2022 IEEE International Symposium on Information Theory
(Vol. 2022, pp. 2553–2558). Espoo, Finland: IEEE. https://doi.org/10.1109/ISIT50566.2022.9834829'
chicago: Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for
the Z-Channel.” In 2022 IEEE International Symposium on Information Theory,
2022:2553–58. IEEE, 2022. https://doi.org/10.1109/ISIT50566.2022.9834829.
ieee: N. Polyanskii and Y. Zhang, “List-decodable zero-rate codes for the Z-channel,”
in 2022 IEEE International Symposium on Information Theory, Espoo, Finland,
2022, vol. 2022, pp. 2553–2558.
ista: 'Polyanskii N, Zhang Y. 2022. List-decodable zero-rate codes for the Z-channel.
2022 IEEE International Symposium on Information Theory. ISIT: International Symposium
on Information Theory vol. 2022, 2553–2558.'
mla: Polyanskii, Nikita, and Yihan Zhang. “List-Decodable Zero-Rate Codes for the
Z-Channel.” 2022 IEEE International Symposium on Information Theory, vol.
2022, IEEE, 2022, pp. 2553–58, doi:10.1109/ISIT50566.2022.9834829.
short: N. Polyanskii, Y. Zhang, in:, 2022 IEEE International Symposium on Information
Theory, IEEE, 2022, pp. 2553–2558.
conference:
end_date: 2022-07-01
location: Espoo, Finland
name: 'ISIT: International Symposium on Information Theory'
start_date: 2022-06-26
date_created: 2022-09-04T22:02:07Z
date_published: 2022-08-03T00:00:00Z
date_updated: 2026-08-12T06:37:29Z
day: '03'
department:
- _id: MaMo
doi: 10.1109/ISIT50566.2022.9834829
external_id:
isi:
- '001254261902119'
intvolume: ' 2022'
isi: 1
language:
- iso: eng
month: '08'
oa_version: None
page: 2553-2558
publication: 2022 IEEE International Symposium on Information Theory
publication_identifier:
isbn:
- '9781665421591'
issn:
- 2157-8095
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: List-decodable zero-rate codes for the Z-channel
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2022
year: '2022'
...