Michel Besserve
20 papers · 2012–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Interdisciplinary Bridge ๐ Renaissance Researcher (5) ๐ Conference Polyglot (7)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
๐ค
Dynamic Duo
(17)
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Triple Crown
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Grand Slam
๐ฑ
Topic Pioneer
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Trend Setter
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Conference Pioneer
๐ฅ
Unstoppable
(8)
โก
Prolific Year
(5)
๐๏ธ
Keyword Collector
(80)
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Century Club
(20)
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The Questioner
Conferences
NIPS (9)
UAI (3)
CLEAR (2)
ICLR (2)
ICML (2)
AAAI (1)
AISTATS (1)
Top co-authors
Research topics
Keywords
representation learning
(5)
causal inference
(5)
causal discovery
(3)
causal graph
(3)
group theory
(2)
time series
(2)
independent component analysis
(2)
latent space
(2)
causal representation learning
(2)
variational autoencoder
(2)
linear dynamical system
(2)
latent variable model
(2)
granger causality
(1)
automatic differentiation
(1)
game theory
(1)
data augmentation
(1)
cause-effect inference
(1)
self-supervised learning
(1)
variational inference
(1)
spectral analysis
(1)
Papers
Controlling for discrete unmeasured confounding in nonlinear causal models
CLEAR 2025
Targeted Reduction of Causal Models
UAI 2024
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions
ICML 2023
Causal Component Analysis
NIPS 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
NIPS 2023
Structure by Architecture: Structured Representations without Regularization
ICLR 2023
Function Classes for Identifiable Nonlinear Independent Component Analysis
NIPS 2022
Learning soft interventions in complex equilibrium systems
UAI 2022
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
CLEAR 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
NIPS 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
NIPS 2022
Independent mechanism analysis, a new concept?
NIPS 2021
A Theory of Independent Mechanisms for Extrapolation in Generative Models
AAAI 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
NIPS 2021
Counterfactuals uncover the modular structure of deep generative models
ICLR 2020
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory
UAI 2019
Group Invariance Principles for Causal Generative Models
AISTATS 2018
Telling cause from effect in deterministic linear dynamical systems
ICML 2015
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.
NIPS 2013
Towards a learning-theoretic analysis of spike-timing dependent plasticity
NIPS 2012