Bertrand Thirion
24 papers · 2009–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (6)
π
Conference Polyglot
(6)
π
Academic Marathon
(16)
π
Cross-Pollinator
(11)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(99)
π
Trend Setter
π₯
Unstoppable
(7)
π
Conference Pioneer
π
Century Club
(24)
Conferences
NIPS (13)
ICML (6)
MICCAI (2)
AAAI (1)
AISTATS (1)
JMLR (1)
Top co-authors
Research topics
Keywords
brain imaging
(5)
feature selection
(3)
variable selection
(3)
statistical inference
(3)
high-dimensional inference
(3)
fmri analysis
(3)
independent component analysis
(2)
feature grouping
(2)
dictionary learning
(2)
variable importance
(2)
cognitive neuroscience
(2)
false discovery rate
(2)
functional connectivity
(2)
permutation importance
(2)
multi-task learning
(2)
functional magnetic resonance imaging
(2)
high-dimensional datum
(2)
bayesian inference
(1)
semi-supervised learning
(1)
probabilistic modeling
(1)
Papers
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
ICML 2025
False Coverage Proportion Control for Conformal Prediction
ICML 2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
Variable Importance in High-Dimensional Settings Requires Grouping
AAAI 2024
NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature
MICCAI 2024
Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
MICCAI 2024
False Discovery Proportion control for aggregated Knockoffs
NIPS 2023
Statistically Valid Variable Importance Assessment through Conditional Permutations
NIPS 2023
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
ICML 2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
NIPS 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein
NIPS 2022
Shared Independent Component Analysis for Multi-Subject Neuroimaging
NIPS 2021
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
NIPS 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso
NIPS 2020
Aggregation of Multiple Knockoffs
ICML 2020
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
ICML 2019
Learning Neural Representations of Human Cognition across Many fMRI Studies
NIPS 2017
Learning brain regions via large-scale online structured sparse dictionary learning
NIPS 2016
Dictionary Learning for Massive Matrix Factorization
ICML 2016
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
NIPS 2015
Mapping paradigm ontologies to and from the brain
NIPS 2013
Scikit-learn: Machine Learning in Python
JMLR 2011
Brain covariance selection: better individual functional connectivity models using population prior
NIPS 2010
Discriminative Network Models of Schizophrenia
NIPS 2009