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5964 Publications
2023 |Published| Conference Paper | IST-REx-ID: 12859 |
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.
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S. Bombari, S. Kiyani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 2738–2776.
2023 |Published| Conference Paper | IST-REx-ID: 14924 |
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.
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D. Wu, V. Kungurtsev, M. Mondelli, in:, Transactions on Machine Learning Research, ML Research Press, 2023.
2023 | Research Data Reference | IST-REx-ID: 14919 |
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).
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T. Shaw, P. Buri, M. McCarthy, E. Miles, F. Pellicciotti, (2023).
2023 |Published| Thesis | IST-REx-ID: 13107 |
The metabolism of the developing brain : How large neutral amino acids modulate perinatal neuronal excitability and survival
L. Knaus, The Metabolism of the Developing Brain : How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival, Institute of Science and Technology Austria, 2023.
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L. Knaus, The Metabolism of the Developing Brain : How Large Neutral Amino Acids Modulate Perinatal Neuronal Excitability and Survival, Institute of Science and Technology Austria, 2023.
2023 |Published| Journal Article | IST-REx-ID: 12802 |
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.
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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.
2023 |Submitted| Preprint | IST-REx-ID: 13312 |
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.).
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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.).
2023 |Published| Journal Article | IST-REx-ID: 14949 |
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).
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M. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, Journal of Machine Learning Research (2023).
2023 |Submitted| Preprint | IST-REx-ID: 14946 |
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.).
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D. Yao, D. Xu, S. Lachapelle, S. Magliacane, P. Taslakian, G. Martius, J. von Kügelgen, F. Locatello, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14952 |
Latent space translation via semantic alignment
V. Maiorca, L. Moschella, A. Norelli, M. Fumero, F. Locatello, E. Rodolà, ArXiv (n.d.).
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V. Maiorca, L. Moschella, A. Norelli, M. Fumero, F. Locatello, E. Rodolà, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14948 |
Grounded object centric learning
A. Kori, F. Locatello, F.D.S. Ribeiro, F. Toni, B. Glocker, ArXiv (n.d.).
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A. Kori, F. Locatello, F.D.S. Ribeiro, F. Toni, B. Glocker, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14953 |
Sample complexity bounds for score-matching: Causal discovery and generative modeling
Z. Zhu, F. Locatello, V. Cevher, ArXiv (n.d.).
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Z. Zhu, F. Locatello, V. Cevher, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14954 |
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.).
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F. Montagna, A.A. Mastakouri, E. Eulig, N. Noceti, L. Rosasco, D. Janzing, B. Aragam, F. Locatello, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14210 |
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.).
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M. Fumero, F. Wenzel, L. Zancato, A. Achille, E. Rodolà, S. Soatto, B. Schölkopf, F. Locatello, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14207 |
Rotating features for object discovery
S. Löwe, P. Lippe, F. Locatello, M. Welling, ArXiv (n.d.).
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S. Löwe, P. Lippe, F. Locatello, M. Welling, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14963 |
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.).
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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.).
2023 |Submitted| Preprint | IST-REx-ID: 14961 |
Shortcuts for causal discovery of nonlinear models by score matching
F. Montagna, N. Noceti, L. Rosasco, F. Locatello, ArXiv (n.d.).
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F. Montagna, N. Noceti, L. Rosasco, F. Locatello, ArXiv (n.d.).
2023 |Submitted| Preprint | IST-REx-ID: 14962 |
Unsupervised open-vocabulary object localization in videos
K. Fan, Z. Bai, T. Xiao, D. Zietlow, M. Horn, Z. Zhao, C.-J.S.-G. Carl-Johann Simon-Gabriel, M.Z. Shou, F. Locatello, B. Schiele, T. Brox, Z. Zhang, Y. Fu, T. He, ArXiv (n.d.).
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K. Fan, Z. Bai, T. Xiao, D. Zietlow, M. Horn, Z. Zhao, C.-J.S.-G. Carl-Johann Simon-Gabriel, M.Z. Shou, F. Locatello, B. Schiele, T. Brox, Z. Zhang, Y. Fu, T. He, ArXiv (n.d.).
2023 |Published| Conference Paper | IST-REx-ID: 14958 |
A sparsity principle for partially observable causal representation learning
D. Xu, D. Yao, S. Lachapelle, P. Taslakian, J. von Kügelgen, F. Locatello, S. Magliacane, in:, Causal Representation Learning Workshop at NeurIPS 2023, OpenReview, 2023.
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D. Xu, D. Yao, S. Lachapelle, P. Taslakian, J. von Kügelgen, F. Locatello, S. Magliacane, in:, Causal Representation Learning Workshop at NeurIPS 2023, OpenReview, 2023.
2023 |Published| Journal Article | IST-REx-ID: 14466 |
Dynamics and proliferation of turbulent stripes in plane-Poiseuille and plane-Couette flows
E. Marensi, G. Yalniz, B. Hof, Journal of Fluid Mechanics 974 (2023).
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E. Marensi, G. Yalniz, B. Hof, Journal of Fluid Mechanics 974 (2023).
2023 |Published| Journal Article | IST-REx-ID: 14985 |
Lattice expansion enables interstitial doping to achieve a high average ZT in n‐type PbS
Z. Liu, T. Hong, L. Xu, S. Wang, X. Gao, C. Chang, X. Ding, Y. Xiao, L. Zhao, Interdisciplinary Materials 2 (2023) 161–170.
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Z. Liu, T. Hong, L. Xu, S. Wang, X. Gao, C. Chang, X. Ding, Y. Xiao, L. Zhao, Interdisciplinary Materials 2 (2023) 161–170.