Michel Besserve
20 papers · 2012–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(11)
🤝
Dynamic Duo
(17)
🏆
Keyword Champion
🧭
Keyword Pioneer
👑
Triple Crown
🏆
Grand Slam
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
📈
Trend Setter
🗃️
Keyword Collector
(100)
Top co-authors
Research topics
Artificial Intelligence
(15)
Machine Learning
(15)
Core AI
(14)
Optimization & Theory
(9)
Deep Learning
(8)
Core Methods
(8)
Learning Types · Machine Learning
(8)
Models
(5)
Knowledge & Reasoning
(4)
Learning Types · Deep Learning
(4)
Reasoning
(4)
Architectures
(3)
Interdisciplinary
(2)
Science
(2)
Computer Science
(1)
Keywords
causal inference
(5)
representation learning
(5)
causal graph
(3)
causal discovery
(3)
causal representation learning
(3)
independent component analysis
(2)
self-supervised learning
(2)
time series
(2)
latent space
(2)
latent variable
(2)
generative model
(2)
variational autoencoder
(2)
group theory
(2)
latent variable model
(2)
linear dynamical system
(2)
automatic differentiation
(1)
game theory
(1)
data augmentation
(1)
variational inference
(1)
generative modeling
(1)
Papers
Controlling for discrete unmeasured confounding in nonlinear causal models
CLeaR 2025
Targeted Reduction of Causal Models
UAI 2024
Causal Component Analysis
NeurIPS 2023
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions
ICML 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
NeurIPS 2023
Structure by Architecture: Structured Representations without Regularization
ICLR 2023
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations
CLeaR 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis
NeurIPS 2022
Exploring the Latent Space of Autoencoders with Interventional Assays
NeurIPS 2022
Function Classes for Identifiable Nonlinear Independent Component Analysis
NeurIPS 2022
Learning soft interventions in complex equilibrium systems
UAI 2022
A Theory of Independent Mechanisms for Extrapolation in Generative Models
AAAI 2021
Independent mechanism analysis, a new concept?
NeurIPS 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
NeurIPS 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.
NeurIPS 2013
Towards a learning-theoretic analysis of spike-timing dependent plasticity
NeurIPS 2012