Luigi Gresele
Luigi Gresele
Ph.D. student, Max Planck Institute for Intelligent Systems, Tübingen
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Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
J von Kügelgen, Y Sharma, L Gresele, W Brendel, B Schölkopf, ...
Advances in Neural Information Processing Systems 34, 2021
Learning explanations that are hard to vary
G Parascandolo, A Neitz, A Orvieto, L Gresele, B Schölkopf
International Conference on Learning Representations (2021), 2020
The Incomplete Rosetta Stone problem: identifiability results for multi-view nonlinear ICA
L Gresele, PK Rubenstein, A Mehrjou, F Locatello, B Schölkopf
Uncertainty in Artificial Intelligence, 217-227, 2019
Independent mechanism analysis, a new concept?
L Gresele, J von Kügelgen, V Stimper, B Schölkopf, M Besserve
Advances in Neural Information Processing Systems 34, 2021
Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects
J von Kügelgen*, L Gresele*, B Schölkopf
IEEE Transactions on Artificial Intelligence, 2021
Modeling Shared Responses in Neuroimaging Studies through MultiView ICA
H Richard, L Gresele, A Hyvärinen, B Thirion, A Gramfort, P Ablin
Advances in Neural Information Processing Systems 33, 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning
L Gresele, G Fissore, A Javaloy, B Schölkopf, A Hyvärinen
Advances in Neural Information Processing Systems 33, 2020
On maximum entropy and inference
L Gresele, M Marsili
Entropy 19 (12), 642, 2017
Causal Inference Through the Structural Causal Marginal Problem
L Gresele, J Von Kügelgen, J Kübler, E Kirschbaum, B Schölkopf, ...
International Conference on Machine Learning, 7793-7824, 2022
Privacy-Preserving Causal Inference via Inverse Probability Weighting
SK Lee, L Gresele, M Park, K Muandet
NeurIPS 2019 Workshop on Privacy in Machine Learning (PriML 2019), 2019
Probing the Robustness of Independent Mechanism Analysis for Representation Learning
J Sliwa, S Ghosh, V Stimper, L Gresele, B Schölkopf
UAI 2022 Workshop on Causal Representation Learning, 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
P Reizinger, L Gresele, J Brady, J von Kügelgen, D Zietlow, B Schölkopf, ...
Advances in Neural Information Processing Systems 35, 2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective"
S Ghosh, L Gresele, J von Kügelgen, M Besserve, B Schölkopf
arXiv preprint arXiv:2202.06844, 2022
Model based fMRI denoising
L Gresele, K Scheffler, B Schölkopf, G Lohmann
25th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2019), 2019
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