Kilian Fatras
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
👥
Mega-Team · Squad
👑
Triple Crown
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Mathematics & Optimization
(4)
Models
(4)
Optimization
(4)
Application Areas
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Architectures
(1)
Core Methods
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Research
(1)
Keywords
flow matching
(3)
optimal transport
(3)
diffusion model
(2)
large-scale optimization
(1)
proximal splitting
(1)
reinforcement learning from human feedback
(1)
protein design
(1)
variance reduction
(1)
schrödinger bridge
(1)
score matching
(1)
generative model
(1)
nonsmooth optimization
(1)
linear convergence
(1)
sinkhorn algorithm
(1)
probability distribution
(1)
domain adaptation
(1)
proximal operator
(1)
convergence rate
(1)
stochastic optimization
(1)
wasserstein distance
(1)
Papers
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
AISTATS 2024
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
ICML 2024
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
ICLR 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
NeurIPS 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching
AISTATS 2024
POT: Python Optimal Transport
JMLR 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
ICML 2021
Learning with minibatch Wasserstein : asymptotic and gradient properties
AISTATS 2020
Proximal Splitting Meets Variance Reduction
AISTATS 2019