Bertrand Thirion
24 papers · 2009–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Keyword Pioneer
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Trend Setter
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Renaissance Researcher
(8)
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Conference Pioneer
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Keyword Collector
(122)
Top co-authors
Research topics
Machine Learning
(20)
Core Methods
(13)
Artificial Intelligence
(10)
Healthcare & Medicine
(8)
Clinical
(7)
Optimization & Theory
(7)
Interdisciplinary
(6)
Core AI
(6)
Learning Types
(6)
Science
(6)
Mathematics & Optimization
(4)
Application Areas
(4)
Research
(4)
Bayesian & Probabilistic
(3)
Computer Science
(2)
Keywords
brain imaging
(5)
statistical inference
(4)
high-dimensional inference
(3)
variable importance
(3)
feature selection
(3)
variable selection
(3)
fmri analysis
(3)
functional magnetic resonance imaging
(3)
feature grouping
(2)
high-dimensional data
(2)
false discovery rate
(2)
dictionary learning
(2)
multi-task learning
(2)
permutation importance
(2)
independent component analysis
(2)
functional connectivity
(2)
cognitive neuroscience
(2)
conformal prediction
(1)
online learning
(1)
stochastic gradient descent
(1)
Papers
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
False Coverage Proportion Control for Conformal Prediction
ICML 2025
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
ICML 2025
Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
MICCAI 2024
NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature
MICCAI 2024
Variable Importance in High-Dimensional Settings Requires Grouping
AAAI 2024
False Discovery Proportion control for aggregated Knockoffs
NeurIPS 2023
Statistically Valid Variable Importance Assessment through Conditional Permutations
NeurIPS 2023
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
NeurIPS 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein
NeurIPS 2022
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
ICML 2022
Shared Independent Component Analysis for Multi-Subject Neuroimaging
NeurIPS 2021
Aggregation of Multiple Knockoffs
ICML 2020
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
NeurIPS 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso
NeurIPS 2020
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
ICML 2019
Learning Neural Representations of Human Cognition across Many fMRI Studies
NeurIPS 2017
Dictionary Learning for Massive Matrix Factorization
ICML 2016
Learning brain regions via large-scale online structured sparse dictionary learning
NeurIPS 2016
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
NeurIPS 2015
Mapping paradigm ontologies to and from the brain
NeurIPS 2013
Scikit-learn: Machine Learning in Python
JMLR 2011
Brain covariance selection: better individual functional connectivity models using population prior
NeurIPS 2010
Discriminative Network Models of Schizophrenia
NeurIPS 2009