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Luigi Gresele
Luigi Gresele
Verified email at math.ku.dk - Homepage
Title
Cited by
Cited by
Year
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
2372021
Learning explanations that are hard to vary
G Parascandolo*, A Neitz*, A Orvieto, L Gresele, B Schölkopf
International Conference on Learning Representations (2021), 2020
1502020
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
782021
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
752019
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
342021
Nonparametric Identifiability of Causal Representations from Unknown Interventions
J von Kügelgen, M Besserve, W Liang, L Gresele, A Kekić, E Bareinboim, ...
Advances in Neural Information Processing Systems 36, 2023
292023
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
262020
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
252020
Causal Component Analysis
W Liang, A Kekić, J von Kügelgen, S Buchholz, M Besserve, L Gresele*, ...
Advances in Neural Information Processing Systems 36, 2023
20*2023
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
P Reizinger*, L Gresele*, J Brady*, J von Kügelgen, D Zietlow, ...
Advances in Neural Information Processing Systems 35, 2022
192022
CLadder: Assessing Causal Reasoning in Language Models
Z Jin*, Y Chen*, F Leeb*, L Gresele*, O Kamal, L Zhiheng, K Blin, ...
Advances in Neural Information Processing Systems 36, 2023
17*2023
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
162022
On maximum entropy and inference
L Gresele, M Marsili
Entropy 19 (12), 642, 2017
122017
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
7*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
42022
Evaluating vaccine allocation strategies using simulation-assisted causal modelling
A Kekic, J Dehning, L Gresele, J von Kügelgen, V Priesemann, ...
Patterns, 2023
22023
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
12022
Independent Mechanism Analysis and the Manifold Hypothesis
S Ghosh, L Gresele, J von Kügelgen, M Besserve, B Schölkopf
NeurIPS 2023 Workshop on Causal Representation Learning, 2023
2023
Learning Identifiable Representations: Independent Influences and Multiple Views
L Gresele
Universität Tübingen, 2023
2023
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
2019
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Articles 1–20