Michel Besserve

55 papers A* 12A 4Misc 1Journal 32Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Controlling for discrete unmeasured confounding in nonlinear causal models. CLeaR Patrick Burauel, Frederick Eberhardt, Michel Besserve
2025	J	`jnl`	Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies. CoRR Armin Kekic, Jan Schneider, Dieter Büchler, Bernhard Schölkopf, Michel Besserve
2024	J	`jnl`	Controlling for discrete unmeasured confounding in nonlinear causal models. CoRR Patrick Burauel, Frederick Eberhardt, Michel Besserve
2024	A	`conf`	Targeted Reduction of Causal Models. UAI Armin Kekic, Bernhard Schölkopf, Michel Besserve
2023	A*	`conf`	Causal Component Analysis. NeurIPS Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
2023	J	`jnl`	Causal Component Analysis. CoRR Wendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf
2023	A*	`conf`	Homomorphism AutoEncoder - Learning Group Structured Representations from Observed Transitions. ICML Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf
2023	J	`jnl`	Independent Mechanism Analysis and the Manifold Hypothesis. CoRR Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
2023	A*	`conf`	Nonparametric Identifiability of Causal Representations from Unknown Interventions. NeurIPS Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf
2023	J	`jnl`	Nonparametric Identifiability of Causal Representations from Unknown Interventions. CoRR Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf
2023	A*	`conf`	Structure by Architecture: Structured Representations without Regularization. ICLR Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
2023	J	`jnl`	Targeted Reduction of Causal Models. CoRR Armin Kekic, Bernhard Schölkopf, Michel Besserve
2023	J	`jnl`	Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. PLoS Comput. Biol. Shervin Safavi, Theofanis I. Panagiotaropoulos, Vishal Kapoor, Juan F. Ramirez-Villegas, Nikos K. Logothetis, Michel Besserve
2022	J	`jnl`	Bayesian Information Criterion for Event-based Multi-trial Ensemble data. CoRR Kaidi Shao, Nikos K. Logothetis, Michel Besserve
2022	J	`jnl`	Causal Feature Selection via Orthogonal Search. Trans. Mach. Learn. Res. Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve
2022	—	`conf`	Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations. CLeaR Michel Besserve, Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf
2022	A*	`conf`	Embrace the Gap: VAEs Perform Independent Mechanism Analysis. NeurIPS Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
2022	J	`jnl`	Embrace the Gap: VAEs Perform Independent Mechanism Analysis. CoRR Patrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve
2022	A*	`conf`	Exploring the Latent Space of Autoencoders with Interventional Assays. NeurIPS Felix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf
2022	A*	`conf`	Function Classes for Identifiable Nonlinear Independent Component Analysis. NeurIPS Simon Buchholz, Michel Besserve, Bernhard Schölkopf
2022	J	`jnl`	Function Classes for Identifiable Nonlinear Independent Component Analysis. CoRR Simon Buchholz, Michel Besserve, Bernhard Schölkopf
2022	J	`jnl`	Homomorphism Autoencoder - Learning Group Structured Representations from Observed Transitions. CoRR Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf
2022	A	`conf`	Learning soft interventions in complex equilibrium systems. UAI Michel Besserve, Bernhard Schölkopf
2022	J	`jnl`	On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective". CoRR Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
2021	A*	`conf`	A Theory of Independent Mechanisms for Extrapolation in Generative Models. AAAI Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf
2021	J	`jnl`	From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework. Neural Comput. Shervin Safavi, Nikos K. Logothetis, Michel Besserve
2021	A*	`conf`	Independent mechanism analysis, a new concept? NeurIPS Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
2021	J	`jnl`	Independent mechanism analysis, a new concept? CoRR Luigi Gresele, Julius von Kügelgen, Vincent Stimper, Bernhard Schölkopf, Michel Besserve
2021	J	`jnl`	Learning soft interventions in complex equilibrium systems. CoRR Michel Besserve, Bernhard Schölkopf
2021	A*	`conf`	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. NeurIPS Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
2021	J	`jnl`	Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. CoRR Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello
2020	J	`jnl`	A theory of independent mechanisms for extrapolation in generative models. CoRR Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf
2020	J	`jnl`	Causal Feature Selection via Orthogonal Search. CoRR Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf
2020	J	`jnl`	Causal learning with sufficient statistics: an information bottleneck approach. CoRR Daniel Chicharro, Michel Besserve, Stefano Panzeri
2020	A*	`conf`	Counterfactuals uncover the modular structure of deep generative models. ICLR Michel Besserve, Arash Mehrjou, Rémy Sun, Bernhard Schölkopf
2019	A	`conf`	Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. UAI Philipp Geiger, Michel Besserve, Justus Winkelmann, Claudius Proissl, Bernhard Schölkopf
2018	J	`jnl`	Coordination via predictive assistants from a game-theoretic view. CoRR Philipp Geiger, Justus Winkelmann, Claudius Proissl, Michel Besserve, Bernhard Schölkopf
2018	J	`jnl`	Counterfactuals uncover the modular structure of deep generative models. CoRR Michel Besserve, Rémy Sun, Bernhard Schölkopf
2018	A	`conf`	Group invariance principles for causal generative models. AISTATS Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing
2017	J	`jnl`	Group invariance principles for causal generative models. CoRR Michel Besserve, Naji Shajarisales, Bernhard Schölkopf, Dominik Janzing
2015	A*	`conf`	Telling cause from effect in deterministic linear dynamical systems. ICML Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf, Michel Besserve
2015	J	`jnl`	Telling cause from effect in deterministic linear dynamical systems. CoRR Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf, Michel Besserve
2015	J	`jnl`	Towards Robust and Specific Causal Discovery from fMRI. CoRR Kun Zhang, Biwei Huang, Bernhard Schölkopf, Michel Besserve, Masataka Watanabe, Dajiang Zhu
2013	J	`jnl`	Metabolic Cost as an Organizing Principle for Cooperative Learning. Adv. Complex Syst. David Balduzzi, Pedro A. Ortega, Michel Besserve
2013	J	`jnl`	Multimodal information improves the rapid detection of mental fatigue. Biomed. Signal Process. Control. François Laurent, Mario Valderrama, Michel Besserve, Mathias Guillard, Jean-Philippe Lachaux, Jacques Martinerie, Geneviève Florence
2013	—	`conf`	Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS Michel Besserve, Nikos K. Logothetis, Bernhard Schölkopf
2012	J	`jnl`	Metabolic cost as an organizing principle for cooperative learning CoRR David Balduzzi, Pedro A. Ortega, Michel Besserve
2012	J	`jnl`	Towards a learning-theoretic analysis of spike-timing dependent plasticity CoRR David Balduzzi, Michel Besserve
2012	—	`conf`	Towards a learning-theoretic analysis of spike-timing dependent plasticity. NIPS David Balduzzi, Michel Besserve
2011	Misc	`conf`	Finding dependencies between frequencies with the kernel cross-spectral density. ICASSP Michel Besserve, Dominik Janzing, Nikos K. Logothetis, Bernhard Schölkopf
2011	J	`jnl`	Improving quantification of functional networks with EEG inverse problem: Evidence from a decoding point of view. NeuroImage Michel Besserve, Jacques Martinerie, Line Garnero
2010	J	`jnl`	Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. J. Comput. Neurosci. Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis, Stefano Panzeri
2010	J	`jnl`	Source Reconstruction and Synchrony Measurements for Revealing Functional Brain Networks and Classifying Mental States. Int. J. Bifurc. Chaos François Laurent, Michel Besserve, Line Garnero, Matthieu Philippe, Geneviève Florence, Jacques Martinerie
2008	—	`conf`	Non-invasive classification of cortical activities for brain computer interface: A variable selection approach. ISBI Michel Besserve, Jacques Martinerie, Line Garnero
2007	—	`—`	Analyse de la dynamique neuronale pour les Interfaces Cerveau-Machines : un retour aux sources. Michel Besserve