Hainzl C, Roos B, Seiringer R. Boundary superconductivity in the BCS model. Journal of Spectral Theory. 2023;12(4):1507–1540. doi:10.4171/JST/439
LibreCat: https://research-explorer.ista.ac.at/record/13207
DOI: 10.4171/JST/439
WoS: 000997933500008
arXiv: 2201.08090

Barton NH, Etheridge AM, Véber A. The infinitesimal model with dominance. Genetics. 2023;225(2). doi:10.1093/genetics/iyad133
LibreCat: https://research-explorer.ista.ac.at/record/14452
DOI: 10.1093/genetics/iyad133
arXiv: 2211.03515

Barton NH. The infinitesimal model with dominance. 2023. doi:10.15479/AT:ISTA:12949
LibreCat: https://research-explorer.ista.ac.at/record/12949
DOI: 10.15479/AT:ISTA:12949

Markov I, Vladu A, Guo Q, Alistarh D-A. Quantized distributed training of large models with convergence guarantees. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:24020-24044.
LibreCat: https://research-explorer.ista.ac.at/record/14461
arXiv: 2302.02390

Fichtenberger H, Henzinger MH, Upadhyay J. Constant matters: Fine-grained error bound on differentially private continual observation. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:10072-10092.
LibreCat: https://research-explorer.ista.ac.at/record/14462

Shevchenko A, Kögler K, Hassani H, Mondelli M. Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:31151-31209.
LibreCat: https://research-explorer.ista.ac.at/record/14459
arXiv: 2212.13468

Nikdan M, Pegolotti T, Iofinova EB, Kurtic E, Alistarh D-A. SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:26215-26227.
LibreCat: https://research-explorer.ista.ac.at/record/14460
arXiv: 2302.04852

Hoffmann C, Simkin M. Stronger lower bounds for leakage-resilient secret sharing. In: 8th International Conference on Cryptology and Information Security in Latin America. Vol 14168. Springer Nature; 2023:215-228. doi:10.1007/978-3-031-44469-2_11
LibreCat: https://research-explorer.ista.ac.at/record/14457
DOI: 10.1007/978-3-031-44469-2_11

Frantar E, Alistarh D-A. SparseGPT: Massive language models can be accurately pruned in one-shot. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:10323-10337.
LibreCat: https://research-explorer.ista.ac.at/record/14458
arXiv: 2301.00774

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

Rojas Vega MN, De Castro P, Soto R. Mixtures of self-propelled particles interacting with asymmetric obstacles. The European Physical Journal E. 2023;46(10). doi:10.1140/epje/s10189-023-00354-y
LibreCat: https://research-explorer.ista.ac.at/record/14442
DOI: 10.1140/epje/s10189-023-00354-y
PMID: 37819444

Kwan MA, Sah A, Sawhney M, Simkin M. Substructures in Latin squares. Israel Journal of Mathematics. 2023;256(2):363-416. doi:10.1007/s11856-023-2513-9
LibreCat: https://research-explorer.ista.ac.at/record/14444
DOI: 10.1007/s11856-023-2513-9
arXiv: 2202.05088

Henzinger TA, Kueffner K, Mallik K. Monitoring algorithmic fairness under partial observations. In: 23rd International Conference on Runtime Verification. Vol 14245. Springer Nature; 2023:291-311. doi:10.1007/978-3-031-44267-4_15
LibreCat: https://research-explorer.ista.ac.at/record/14454
DOI: 10.1007/978-3-031-44267-4_15
arXiv: 2308.00341

Jakubík J, Phuong M, Chvosteková M, Krakovská A. Against the flow of time with multi-output models. Measurement Science Review. 2023;23(4):175-183. doi:10.2478/msr-2023-0023
LibreCat: https://research-explorer.ista.ac.at/record/14446
DOI: 10.2478/msr-2023-0023

Schumann G, Andreassen OA, Banaschewski T, et al. Addressing global environmental challenges to mental health using population neuroscience: A review. JAMA Psychiatry. 2023;80(10):1066-1074. doi:10.1001/jamapsychiatry.2023.2996
LibreCat: https://research-explorer.ista.ac.at/record/14443
DOI: 10.1001/jamapsychiatry.2023.2996
PMID: 37610741

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

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

Lyons DB, Briffa A, He S, et al. Extensive de novo activity stabilizes epigenetic inheritance of CG methylation in Arabidopsis transposons. Cell Reports. 2023;42(3). doi:10.1016/j.celrep.2023.112132
LibreCat: https://research-explorer.ista.ac.at/record/12672
DOI: 10.1016/j.celrep.2023.112132
WoS: 000944921600001

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

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