
Differentiable Divergences Between Time Series
Computing the discrepancy between time series of variable sizes is notor...
read it

Finegrain atlases of functional modes for fMRI analysis
Population imaging markedly increased the size of functionalimaging dat...
read it

Online Sinkhorn: optimal transportation distances from sample streams
Optimal Transport (OT) distances are now routinely used as loss function...
read it

A meanfield analysis of twoplayer zerosum games
Finding Nash equilibria in twoplayer zerosum continuous games is a cen...
read it

Extragradient with player sampling for provable fast convergence in nplayer games
Datadriven model training is increasingly relying on finding Nash equil...
read it

Geometric Losses for Distributional Learning
Building upon recent advances in entropyregularized optimal transport, ...
read it

Extracting Universal Representations of Cognition across BrainImaging Studies
The size of publicly available data in cognitive neuroimaging has incre...
read it

Differentiable Dynamic Programming for Structured Prediction and Attention
Dynamic programming (DP) solves a variety of structured combinatorial pr...
read it

Learning Neural Representations of Human Cognition across Many fMRI Studies
Cognitive neuroscience is enjoying rapid increase in extensive public br...
read it

Stochastic Subsampling for Factorizing Huge Matrices
We present a matrixfactorization algorithm that scales to input matrice...
read it

Dictionary Learning for Massive Matrix Factorization
Sparse matrix factorization is a popular tool to obtain interpretable da...
read it

Compressed Online Dictionary Learning for Fast fMRI Decomposition
We present a method for fast restingstate fMRI spatial decompositions ...
read it
Arthur Mensch
is this you? claim profile