Luigi Gresele

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHDirección de correo verificada de tuebingen.mpg.de
Julius von KügelgenETH ZürichDirección de correo verificada de tuebingen.mpg.de
Michel BesserveMax Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Francesco LocatelloAssistant Professor, ISTADirección de correo verificada de ista.ac.at
Wieland BrendelFellow at ELLIS Institut Tübingen, Group Leader, Max Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Yash SharmaUniversity of Tübingen, Max Planck Institute for Intelligent SystemsDirección de correo verificada de bethgelab.org
Armin KekićMax Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Vincent StimperUniversity of Cambridge, Max Planck Institute for Intelligent SystemsDirección de correo verificada de cam.ac.uk
Giambattista ParascandoloOpenAIDirección de correo verificada de openai.com
Antonio OrvietoELLIS Institute Tübingen, Max Planck Institute for Intelligent SystemsDirección de correo verificada de tue.ellis.eu
Alexander NeitzMax Planck Institute for Intelligent SystemDirección de correo verificada de tuebingen.mpg.de
Aapo HyvarinenUniversity of HelsinkiDirección de correo verificada de helsinki.fi
Liang WendongMax Planck Institute for Intelligent SystemsDirección de correo verificada de tuebingen.mpg.de
Paul K RubensteinGoogle DeepMindDirección de correo verificada de google.com
Arash MehrjouETH Zürich - Max Planck InstituteDirección de correo verificada de tuebingen.mpg.de
Zhijing JinMax Planck Institute & ETH ZürichDirección de correo verificada de ethz.ch
Yuen ChenUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Mrinmaya SachanAssistant Professor, ETH ZürichDirección de correo verificada de inf.ethz.ch
Ojasv KamalUndergraduate Student, IIT KharagpurDirección de correo verificada de iitkgp.ac.in
Felix LeebMax Planck Institute for Intelligent SystemsDirección de correo verificada de tue.mpg.de

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Luigi Gresele

University of Copenhagen

Dirección de correo verificada de math.ku.dk - Página principal

Machine learning Causal Inference


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	241	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	153	2020
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	79	2021
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	75	2019
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	34	2021
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	28	2023
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	27	2020
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	26	2020
Causal component analysis L Wendong, A Kekić, J von Kügelgen, S Buchholz, M Besserve, ... Advances in Neural Information Processing Systems 36, 2024	20	2024
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	19*	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	19	2022
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	17	2022
On maximum entropy and inference L Gresele, M Marsili Entropy 19 (12), 642, 2017	12	2017
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	4	2022
Evaluating vaccine allocation strategies using simulation-assisted causal modelling A Kekic, J Dehning, L Gresele, J von Kügelgen, V Priesemann, ... Patterns, 2023	3	2023
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	1	2022
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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