Nuclear spin effects in biological processes
O. Vardi, N. Maroudas-Sklare, Y. Kolodny, A. Volosniev, A. Saragovi, N. Galili, S. Ferrera, A. Ghazaryan, N. Yuran, H.P. Affek, B. Luz, Y. Goldsmith, N. Keren, S. Yochelis, I. Halevy, M. Lemeshko, Y. Paltiel, Proceedings of the National Academy of Sciences of the United States of America 120 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14037
DOI: 10.1073/pnas.2300828120
PMID: 37523549

Dynamics of a rank-one perturbation of a Hermitian matrix
G. Dubach, L. Erdös, Electronic Communications in Probability 28 (2023) 1–13.
LibreCat: https://research-explorer.ista.ac.at/record/12683
DOI: 10.1214/23-ECP516
WoS: 000950650200005
arXiv: 2108.13694

Functional central limit theorems for Wigner matrices
G. Cipolloni, L. Erdös, D.J. Schröder, Annals of Applied Probability 33 (2023) 447–489.
LibreCat: https://research-explorer.ista.ac.at/record/12761
DOI: 10.1214/22-AAP1820
WoS: 000946432400015
arXiv: 2012.13218

The Hasse principle for random Fano hypersurfaces
T.D. Browning, P.L. Boudec, W. Sawin, Annals of Mathematics 197 (2023) 1115–1203.
LibreCat: https://research-explorer.ista.ac.at/record/8682
DOI: 10.4007/annals.2023.197.3.3
WoS: 000966611000003
arXiv: 2006.02356

Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations
J.C. Mckerral, M. Kleshnina, V. Ejov, L. Bartle, J.G. Mitchell, J.A. Filar, PLoS One 18 (2023) e0279838.
LibreCat: https://research-explorer.ista.ac.at/record/12706
DOI: 10.1371/journal.pone.0279838
WoS: 000996122900022
PMID: 36848357

Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons
K. Eguchi, E. Le Monnier, R. Shigemoto, The Journal of Neuroscience 43 (2023) 4197–4216.
LibreCat: https://research-explorer.ista.ac.at/record/13202
DOI: 10.1523/JNEUROSCI.1514-22.2023
WoS: 001020132100005
PMID: 37160366

Uniform bounds for rational points on hyperelliptic fibrations
D. Bonolis, T.D. Browning, Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze 24 (2023) 173–204.
LibreCat: https://research-explorer.ista.ac.at/record/12916
DOI: 10.2422/2036-2145.202010_018
arXiv: 2007.14182

Synapseek: Meta-learning synaptic plasticity rules
B.J. Confavreux, Synapseek: Meta-Learning Synaptic Plasticity Rules, Institute of Science and Technology Austria, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14422
DOI: 10.15479/at:ista:14422

Boundary superconductivity in BCS theory
B. Roos, Boundary Superconductivity in BCS Theory, Institute of Science and Technology Austria, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14374
DOI: 10.15479/at:ista:14374

Boundary superconductivity in the BCS model
C. Hainzl, B. Roos, R. Seiringer, Journal of Spectral Theory 12 (2023) 1507–1540.
LibreCat: https://research-explorer.ista.ac.at/record/13207
DOI: 10.4171/JST/439
WoS: 000997933500008
arXiv: 2201.08090

The infinitesimal model with dominance
N.H. Barton, A.M. Etheridge, A. Véber, Genetics 225 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14452
DOI: 10.1093/genetics/iyad133
arXiv: 2211.03515

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