The infinitesimal model with dominance
N.H. Barton, (2023).
LibreCat: https://research-explorer.ista.ac.at/record/12949
DOI: 10.15479/AT:ISTA:12949

Quantized distributed training of large models with convergence guarantees
I. Markov, A. Vladu, Q. Guo, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 24020–24044.
LibreCat: https://research-explorer.ista.ac.at/record/14461
arXiv: 2302.02390

Constant matters: Fine-grained error bound on differentially private continual observation
H. Fichtenberger, M.H. Henzinger, J. Upadhyay, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10072–10092.
LibreCat: https://research-explorer.ista.ac.at/record/14462

Fundamental limits of two-layer autoencoders, and achieving them with gradient methods
A. Shevchenko, K. Kögler, H. Hassani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 31151–31209.
LibreCat: https://research-explorer.ista.ac.at/record/14459
arXiv: 2212.13468

SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge
M. Nikdan, T. Pegolotti, E.B. Iofinova, E. Kurtic, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 26215–26227.
LibreCat: https://research-explorer.ista.ac.at/record/14460
arXiv: 2302.04852

Stronger lower bounds for leakage-resilient secret sharing
C. Hoffmann, M. Simkin, in:, 8th International Conference on Cryptology and Information Security in Latin America, Springer Nature, 2023, pp. 215–228.
LibreCat: https://research-explorer.ista.ac.at/record/14457
DOI: 10.1007/978-3-031-44469-2_11

SparseGPT: Massive language models can be accurately pruned in one-shot
E. Frantar, D.-A. Alistarh, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 10323–10337.
LibreCat: https://research-explorer.ista.ac.at/record/14458
arXiv: 2301.00774

Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading
F. Cornalba, C. Disselkamp, D. Scassola, C. Helf, Neural Computing and Applications (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14451
DOI: 10.1007/s00521-023-09033-7
arXiv: 2203.04579

Mixtures of self-propelled particles interacting with asymmetric obstacles
M.N. Rojas Vega, P. De Castro, R. Soto, The European Physical Journal E 46 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14442
DOI: 10.1140/epje/s10189-023-00354-y
PMID: 37819444

Substructures in Latin squares
M.A. Kwan, A. Sah, M. Sawhney, M. Simkin, Israel Journal of Mathematics 256 (2023) 363–416.
LibreCat: https://research-explorer.ista.ac.at/record/14444
DOI: 10.1007/s11856-023-2513-9
arXiv: 2202.05088

Monitoring algorithmic fairness under partial observations
T.A. Henzinger, K. Kueffner, K. Mallik, in:, 23rd International Conference on Runtime Verification, Springer Nature, 2023, pp. 291–311.
LibreCat: https://research-explorer.ista.ac.at/record/14454
DOI: 10.1007/978-3-031-44267-4_15
arXiv: 2308.00341

Against the flow of time with multi-output models
J. Jakubík, M. Phuong, M. Chvosteková, A. Krakovská, Measurement Science Review 23 (2023) 175–183.
LibreCat: https://research-explorer.ista.ac.at/record/14446
DOI: 10.2478/msr-2023-0023

Addressing global environmental challenges to mental health using population neuroscience: A review
G. Schumann, O.A. Andreassen, T. Banaschewski, V.D. Calhoun, N. Clinton, S. Desrivieres, R.E. Brandlistuen, J. Feng, S. Hese, E. Hitchen, P. Hoffmann, T. Jia, V. Jirsa, A.F. Marquand, F. Nees, M.M. Nöthen, G. Novarino, E. Polemiti, M. Ralser, M. Rapp, K. Schepanski, T. Schikowski, M. Slater, P. Sommer, B.C. Stahl, P.M. Thompson, S. Twardziok, D. Van Der Meer, H. Walter, L. Westlye, JAMA Psychiatry 80 (2023) 1066–1074.
LibreCat: https://research-explorer.ista.ac.at/record/14443
DOI: 10.1001/jamapsychiatry.2023.2996
PMID: 37610741

The Fröhlich Polaron at strong coupling: Part I - The quantum correction to the classical energy
M. Brooks, R. Seiringer, Communications in Mathematical Physics 404 (2023) 287–337.
LibreCat: https://research-explorer.ista.ac.at/record/14441
DOI: 10.1007/s00220-023-04841-3
arXiv: 2207.03156

Solving relaxations of MAP-MRF problems: Combinatorial in-face Frank-Wolfe directions
V. Kolmogorov, in:, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE, 2023, pp. 11980–11989.
LibreCat: https://research-explorer.ista.ac.at/record/14448
DOI: 10.1109/CVPR52729.2023.01153
arXiv: 2010.09567

Extensive de novo activity stabilizes epigenetic inheritance of CG methylation in Arabidopsis transposons
D.B. Lyons, A. Briffa, S. He, J. Choi, E. Hollwey, J. Colicchio, I. Anderson, X. Feng, M. Howard, D. Zilberman, Cell Reports 42 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/12672
DOI: 10.1016/j.celrep.2023.112132
WoS: 000944921600001

Optimal parabolic upper bound for the energy-momentum relation of a strongly coupled polaron
D.J. Mitrouskas, K. Mysliwy, R. Seiringer, Forum of Mathematics 11 (2023) 1–52.
LibreCat: https://research-explorer.ista.ac.at/record/13178
DOI: 10.1017/fms.2023.45
WoS: 001005008800001
arXiv: 2203.02454

Control of tissue development by morphogens
A. Kicheva, J. Briscoe, Annual Review of Cell and Developmental Biology 39 (2023) 91–121.
LibreCat: https://research-explorer.ista.ac.at/record/14484
DOI: 10.1146/annurev-cellbio-020823-011522
PMID: 37418774

A deeper analysis of volumetric relightiable faces
P. Rao, B.R. Mallikarjun, G. Fox, T. Weyrich, B. Bickel, H. Pfister, W. Matusik, F. Zhan, A. Tewari, C. Theobalt, M. Elgharib, International Journal of Computer Vision (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14488
DOI: 10.1007/s11263-023-01899-3

Land surface modeling in the Himalayas: On the importance of evaporative fluxes for the water balance of a high-elevation catchment
P. Buri, S. Fatichi, T. Shaw, E.S. Miles, M. McCarthy, C.L. Fyffe, S. Fugger, S. Ren, M. Kneib, A. Jouberton, J. Steiner, K. Fujita, F. Pellicciotti, Water Resources Research 59 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14487
DOI: 10.1029/2022WR033841