Evaluating memory properties in convection schemes using idealised tests
Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S. Sherwood, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14865
DOI: 10.5194/egusphere-egu23-4968

Extreme precipitation in tropical squall lines
S. Abramian, C.J. Muller, C. Risi, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14866
DOI: 10.5194/egusphere-egu23-15870

Fast symbolic algorithms for mega-regular games under strong transition fairness
T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, S. Soudjani, TheoretiCS 2 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14920
DOI: 10.46298/theoretics.23.4
arXiv: 2202.07480

Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels
S. Bombari, S. Kiyani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 2738–2776.
LibreCat: https://research-explorer.ista.ac.at/record/12859
arXiv: 2302.01629

Deep neural collapse is provably optimal for the deep unconstrained features model
P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, n.d.
LibreCat: https://research-explorer.ista.ac.at/record/14921
arXiv: 2305.13165

Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
D. Wu, V. Kungurtsev, M. Mondelli, in:, Transactions on Machine Learning Research, ML Research Press, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/14924
arXiv: 2210.06819

Air temperature and near-surface meteorology datasets on three Swiss glaciers - Extreme 2022 Summer
T. Shaw, P. Buri, M. McCarthy, E. Miles, F. Pellicciotti, (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14919
DOI: 10.5281/ZENODO.8277285

The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival
L. Knaus, The Metabolism of the Developing Brainf: How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival, Institute of Science and Technology Austria, 2023.
LibreCat: https://research-explorer.ista.ac.at/record/13107
DOI: 10.15479/at:ista:13107

Large neutral amino acid levels tune perinatal neuronal excitability and survival
L. Knaus, B. Basilico, D. Malzl, M. Gerykova Bujalkova, M. Smogavec, L.A. Schwarz, S. Gorkiewicz, N. Amberg, F. Pauler, C. Knittl-Frank, M. Tassinari, N. Maulide, T. Rülicke, J. Menche, S. Hippenmeyer, G. Novarino, Cell 186 (2023) 1950–1967.e25.
LibreCat: https://research-explorer.ista.ac.at/record/12802
DOI: 10.1016/j.cell.2023.02.037
WoS: 000991468700001

Radio frequency driven superconducting diode and parity conserving  Cooper pair transport in a two-dimensional germanium hole gas
M. Valentini, O. Sagi, L. Baghumyan, T. de Gijsel, J. Jung, S. Calcaterra, A. Ballabio, J.A. Servin, K. Aggarwal, M. Janik, T. Adletzberger, R.S. Souto, M. Leijnse, J. Danon, C. Schrade, E. Bakkers, D. Chrastina, G. Isella, G. Katsaros, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/13312
DOI: 10.48550/arXiv.2306.07109
arXiv: 2306.07109

Image retrieval outperforms diffusion models on data augmentation
M. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, Journal of Machine Learning Research (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14949

Multi-view causal representation learning with partial observability
D. Yao, D. Xu, S. Lachapelle, S. Magliacane, P. Taslakian, G. Martius, J. von Kügelgen, F. Locatello, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14946
DOI: 10.48550/arXiv.2311.04056
arXiv: 2311.04056

Latent space translation via semantic alignment
V. Maiorca, L. Moschella, A. Norelli, M. Fumero, F. Locatello, E. Rodolà, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14952
DOI: 10.48550/arXiv.2311.00664
arXiv: 2311.00664

Grounded object centric learning
A. Kori, F. Locatello, F.D.S. Ribeiro, F. Toni, B. Glocker, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14948
DOI: 10.48550/arXiv.2307.09437
arXiv: 2307.09437

Sample complexity bounds for score-matching: Causal discovery and generative modeling
Z. Zhu, F. Locatello, V. Cevher, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14953
DOI: 10.48550/arXiv.2310.18123
arXiv: 2310.18123

Assumption violations in causal discovery and the robustness of score matching
F. Montagna, A.A. Mastakouri, E. Eulig, N. Noceti, L. Rosasco, D. Janzing, B. Aragam, F. Locatello, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14954
DOI: 10.48550/arXiv.2310.13387
arXiv: 2310.13387

Leveraging sparse and shared feature activations for disentangled representation learning
M. Fumero, F. Wenzel, L. Zancato, A. Achille, E. Rodolà, S. Soatto, B. Schölkopf, F. Locatello, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14210
DOI: 10.48550/arXiv.2304.07939
arXiv: 2304.07939

Rotating features for object discovery
S. Löwe, P. Lippe, F. Locatello, M. Welling, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14207
DOI: 10.48550/arXiv.2306.00600
arXiv: 2306.00600

Object-centric multiple object tracking
Z. Zhao, J. Wang, M. Horn, Y. Ding, T. He, Z. Bai, D. Zietlow, C.-J.S.-G. Carl-Johann Simon-Gabriel, B. Shuai, Z. Tu, T. Brox, B. Schiele, Y. Fu, F. Locatello, Z. Zhang, T. Xiao, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14963
DOI: 10.48550/arXiv.2309.00233
arXiv: 2309.00233

Shortcuts for causal discovery of nonlinear models by score matching
F. Montagna, N. Noceti, L. Rosasco, F. Locatello, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/14961
DOI: 10.48550/arXiv.2310.14246
arXiv: 2310.14246