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4871 Publications
2023 | Published | Conference Abstract | IST-REx-ID: 14864 | 
Measuring spontaneous charging of single aerosol particles
A. Stöllner, I.C. Lenton, C.J. Muller, S.R. Waitukaitis, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
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A. Stöllner, I.C. Lenton, C.J. Muller, S.R. Waitukaitis, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
2023 | Published | Conference Abstract | IST-REx-ID: 14865 |
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.
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Y.-L. Hwong, M. Colin, P. Aglas, C.J. Muller, S. Sherwood, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
2023 | Published | Conference Abstract | IST-REx-ID: 14866 |
Extreme precipitation in tropical squall lines
S. Abramian, C.J. Muller, C. Risi, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
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S. Abramian, C.J. Muller, C. Risi, in:, EGU General Assembly 2023, European Geosciences Union, 2023.
2023 | Published | Conference Paper | IST-REx-ID: 14867 |
Constructing Hamilton cycles and perfect matchings efficiently
M. Anastos, in:, Proceedings of the 12th European Conference on Combinatorics, Graph Theory and Applications, Masaryk University Press, 2023, pp. 36–41.
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M. Anastos, in:, Proceedings of the 12th European Conference on Combinatorics, Graph Theory and Applications, Masaryk University Press, 2023, pp. 36–41.
2023 | Published | Conference Paper | IST-REx-ID: 14872
Entangling microwaves and telecom wavelength light
R. Sahu, L. Qiu, W.J. Hease, G.M. Arnold, Y. Minoguchi, P. Rabl, J.M. Fink, in:, Frontiers in Optics + Laser Science 2023, Optica Publishing Group, 2023.
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R. Sahu, L. Qiu, W.J. Hease, G.M. Arnold, Y. Minoguchi, P. Rabl, J.M. Fink, in:, Frontiers in Optics + Laser Science 2023, Optica Publishing Group, 2023.
2023 | Research Data Reference | IST-REx-ID: 14892 |
douglastome/dynamic-engrams: Dynamic and selective engrams emerge with memory consolidation
D. Feitosa Tomé, (2023).
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D. Feitosa Tomé, (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 | Journal Article | IST-REx-ID: 14920 |
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).
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T. Banerjee, R. Majumdar, K. Mallik, A.-K. Schmuck, S. Soudjani, TheoretiCS 2 (2023).
2023 | In Press | Conference Paper | IST-REx-ID: 14921 |
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.
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P. Súkeník, M. Mondelli, C. Lampert, in:, 37th Annual Conference on Neural Information Processing Systems, n.d.
2023 | In Press | Conference Paper | IST-REx-ID: 14922 |
Concentration without independence via information measures
A.R. Esposito, M. Mondelli, in:, Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, n.d.
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A.R. Esposito, M. Mondelli, in:, Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, n.d.
2023 | In Press | Conference Paper | IST-REx-ID: 14923 |
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise
T. Fu, Y. Liu, J. Barbier, M. Mondelli, S. Liang, T. Hou, in:, Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, n.d.
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T. Fu, Y. Liu, J. Barbier, M. Mondelli, S. Liang, T. Hou, in:, Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, n.d.
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 | 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: 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 | 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: 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: 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 | 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 | 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.).