Guillaume Huguet
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (19) 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)
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Keyword Pioneer
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Models
(5)
Mathematics & Optimization
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Optimization
(3)
Architectures
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Application Areas
(1)
Core AI
(1)
Learning Types
(1)
Keywords
manifold learning
(5)
optimal transport
(3)
flow matching
(3)
single-cell rna sequencing
(2)
geodesic distance
(2)
trajectory inference
(2)
score matching
(1)
riemannian geometry
(1)
riemannian metric
(1)
generative model
(1)
diffusion model
(1)
neural ordinary differential equation
(1)
single-cell analysis
(1)
schrödinger bridge
(1)
heat kernel
(1)
protein language model
(1)
protein structure
(1)
earth mover distance
(1)
schrodinger bridge
(1)
stochastic dynamics
(1)
Papers
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
AISTATS 2025
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
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NeurIPS 2022
Diffusion Earth Mover’s Distance and Distribution Embeddings
ICML 2021