Michel Besserve

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 36

Top Venues

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
Causal Component Analysis. NeurIPS (2023)
Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
Structure by Architecture: Structured Representations without Regularization. ICLR (2023)
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf
Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. ICML (2023)
Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf
Nonparametric Identifiability of Causal Representations from Unknown Interventions. NeurIPS (2023)
Armin Kekic, Bernhard Schölkopf, Michel Besserve
Targeted Reduction of Causal Models. CoRR (2023)
Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf
Nonparametric Identifiability of Causal Representations from Unknown Interventions. CoRR (2023)
Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
Independent Mechanism Analysis and the Manifold Hypothesis. CoRR (2023)
Shervin Safavi, Theofanis I. Panagiotaropoulos, Vishal Kapoor, Juan F. Ramirez-Villegas, Nikos K. Logothetis, Michel Besserve
Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. PLoS Comput. Biol. 19 (4) (2023)
Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
Causal Component Analysis. CoRR (2023)
Kaidi Shao, Nikos K. Logothetis, Michel Besserve
Bayesian Information Criterion for Event-based Multi-trial Ensemble data. CoRR (2022)
Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve
Causal Feature Selection via Orthogonal Search. Trans. Mach. Learn. Res. 2022 (2022)
Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective". CoRR (2022)
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf
Homomorphism Autoencoder - Learning Group Structured Representations from Observed Transitions. CoRR (2022)
Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. CoRR (2022)
Simon Buchholz, Michel Besserve, Bernhard Schölkopf
Function Classes for Identifiable Nonlinear Independent Component Analysis. CoRR (2022)
Simon Buchholz, Michel Besserve, Bernhard Schölkopf
Function Classes for Identifiable Nonlinear Independent Component Analysis. NeurIPS (2022)
Michel Besserve, Bernhard Schölkopf
Learning soft interventions in complex equilibrium systems. UAI (2022)
Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
Embrace the Gap: VAEs Perform Independent Mechanism Analysis. NeurIPS (2022)
Michel Besserve, Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations. CLeaR (2022)
Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
Exploring the Latent Space of Autoencoders with Interventional Assays. NeurIPS (2022)
Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
Independent mechanism analysis, a new concept? NeurIPS (2021)
Michel Besserve, Bernhard Schölkopf
Learning soft interventions in complex equilibrium systems. CoRR (2021)
Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. CoRR (2021)
Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf
A Theory of Independent Mechanisms for Extrapolation in Generative Models. AAAI (2021)
Shervin Safavi, Nikos K. Logothetis, Michel Besserve
From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework. Neural Comput. 33 (7) (2021)
Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
Independent mechanism analysis, a new concept? CoRR (2021)
Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. NeurIPS (2021)
Daniel Chicharro, Michel Besserve, Stefano Panzeri
Causal learning with sufficient statistics: an information bottleneck approach. CoRR (2020)
Michel Besserve, Arash Mehrjou, Rémy Sun, Bernhard Schölkopf
Counterfactuals uncover the modular structure of deep generative models. ICLR (2020)
Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf
A theory of independent mechanisms for extrapolation in generative models. CoRR (2020)
Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf
Causal Feature Selection via Orthogonal Search. CoRR (2020)
Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schölkopf
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. UAI (2019)
Philipp Geiger, Justus Winkelmann, Claudius Proissl, Michel Besserve, Bernhard Schölkopf
Coordination via predictive assistants from a game-theoretic view. CoRR (2018)
Michel Besserve, Rémy Sun, Bernhard Schölkopf
Counterfactuals uncover the modular structure of deep generative models. CoRR (2018)
Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing
Group invariance principles for causal generative models. AISTATS (2018)
Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing
Group invariance principles for causal generative models. CoRR (2017)
Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf, Michel Besserve
Telling cause from effect in deterministic linear dynamical systems. ICML (2015)
Kun Zhang, Biwei Huang, Bernhard Schölkopf, Michel Besserve, Masataka Watanabe, Dajiang Zhu
Towards Robust and Specific Causal Discovery from fMRI. CoRR (2015)
Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf, Michel Besserve
Telling cause from effect in deterministic linear dynamical systems. CoRR (2015)
François Laurent, Mario Valderrama, Michel Besserve, Mathias Guillard, Jean-Philippe Lachaux, Jacques Martinerie, Geneviève Florence
Multimodal information improves the rapid detection of mental fatigue. Biomed. Signal Process. Control. 8 (4) (2013)
Michel Besserve, Nikos K. Logothetis, Bernhard Schölkopf
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS (2013)
David Balduzzi, Pedro A. Ortega, Michel Besserve
Metabolic Cost as an Organizing Principle for Cooperative Learning. Adv. Complex Syst. 16 (2-3) (2013)
David Balduzzi, Michel Besserve
Towards a learning-theoretic analysis of spike-timing dependent plasticity. NIPS (2012)
David Balduzzi, Pedro A. Ortega, Michel Besserve
Metabolic cost as an organizing principle for cooperative learning CoRR (2012)
David Balduzzi, Michel Besserve
Towards a learning-theoretic analysis of spike-timing dependent plasticity CoRR (2012)
Michel Besserve, Dominik Janzing, Nikos K. Logothetis, Bernhard Schölkopf
Finding dependencies between frequencies with the kernel cross-spectral density. ICASSP (2011)
Michel Besserve, Jacques Martinerie, Line Garnero
Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view. NeuroImage 55 (4) (2011)
François Laurent, Michel Besserve, Line Garnero, Matthieu Philippe, Geneviève Florence, Jacques Martinerie
Source Reconstruction and Synchrony Measurements for Revealing Functional Brain Networks and Classifying Mental States. Int. J. Bifurc. Chaos 20 (6) (2010)
Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis, Stefano Panzeri
Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. J. Comput. Neurosci. 29 (3) (2010)
Michel Besserve, Jacques Martinerie, Line Garnero
Non-invasive classification of cortical activities for brain computer interface: A variable selection approach. ISBI (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michel Besserve