Benign overfitting in deep neural networks under lazy training
Z. Zhu, F. Liu, G.G. Chrysos, F. Locatello, V. Cevher, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 43105–43128.
LibreCat: https://research-explorer.ista.ac.at/record/14208
arXiv: 2305.19377

A data augmentation perspective on diffusion models and retrieval
M.F. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14209
DOI: 10.48550/arXiv.2304.10253
arXiv: 2304.10253

Causal discovery with score matching on additive models with arbitrary noise
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14211
arXiv: 2304.03265

Scalable causal discovery with score matching
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14212
arXiv: 2304.03382

Causal triplet: An open challenge for intervention-centric causal representation learning
Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14214
arXiv: 2301.05169

Relative representations enable zero-shot latent space communication
L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà, in:, The 11th International Conference on Learning Representations, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14217
arXiv: 2209.15430

Unsupervised object learning via common fate
M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T. Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14222
arXiv: 2110.06562

Bridging the gap to real-world object-centric learning
M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The 11th International Conference on Learning Representations, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14218
arXiv: 2209.14860

Unsupervised semantic segmentation with self-supervised object-centric representations
A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The 11th International Conference on Learning Representations, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14219
arXiv: 2207.05027

Self-compatibility: Evaluating causal discovery without ground truth
P.M. Faller, L.C. Vankadara, A.A. Mastakouri, F. Locatello, D. Janzing, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14333
DOI: 10.48550/arXiv.2307.09552
arXiv: 2307.09552

Interplay between mechanochemical patterning and glassy dynamics in cellular monolayers
D.R. Boocock, T. Hirashima, E.B. Hannezo, PRX Life 1 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14277
DOI: 10.1103/prxlife.1.013001

Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions
M. Nardin, K. Käfer, F. Stella, J.L. Csicsvari, Cell Reports 42 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14314
DOI: 10.1016/j.celrep.2023.113015
PMID: 37632747

Caspase-mediated nuclear pore complex trimming in cell differentiation and endoplasmic reticulum stress
U.H. Cho, M. Hetzer, ELife 12 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14315
DOI: 10.7554/eLife.89066
PMID: 37665327

Splitting matchings and the Ryser-Brualdi-Stein conjecture for multisets
M. Anastos, D. Fabian, A. Müyesser, T. Szabó, Electronic Journal of Combinatorics 30 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14319
DOI: 10.37236/11714
arXiv: 2212.03100

Automated tail bound analysis for probabilistic recurrence relations
Y. Sun, H. Fu, K. Chatterjee, A.K. Goharshady, in:, Computer Aided Verification, Springer Nature, 2023, pp. 16–39.
LibreCat: https://research-explorer.ista.ac.at/record/14318
DOI: 10.1007/978-3-031-37709-9_2

MDPs as distribution transformers: Affine invariant synthesis for safety objectives
S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, International Conference on Computer Aided Verification, Springer Nature, 2023, pp. 86–112.
LibreCat: https://research-explorer.ista.ac.at/record/14317
DOI: 10.1007/978-3-031-37709-9_5

Distinct role of TGN-resident clathrin adaptors for Vpp activation in the TGN-endosome trafficking pathway
M. Nagano, K. Aoshima, H. Shimamura, D.E. Siekhaus, J.Y. Toshima, J. Toshima, Journal of Cell Science 136 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14316
DOI: 10.1242/jcs.261448
PMID: 37539494

Deep learning extraction of band structure parameters from density of states: A case study on trilayer graphene
P.M. Henderson, A. Ghazaryan, A.A. Zibrov, A.F. Young, M. Serbyn, Physical Review B 108 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14320
DOI: 10.1103/physrevb.108.125411
arXiv: 2210.06310

Ergodicity breaking in disordered and kinetically constrained quantum many-body systems
P. Brighi, Ergodicity Breaking in Disordered and Kinetically Constrained Quantum Many-Body Systems, Institute of Science and Technology Austria, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/12732
DOI: 10.15479/at:ista:12732

Hilbert space fragmentation and slow dynamics in particle-conserving quantum East models
P. Brighi, M. Ljubotina, M. Serbyn, SciPost Physics 15 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14334
DOI: 10.21468/scipostphys.15.3.093
arXiv: 2210.15607