Emile Mathieu
13 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (11)
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Academic Marathon
(5)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(11)
🧬
Topic Evolution
🔥
Unstoppable
(6)
💎
Century Club
(13)
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Prolific Year
(5)
🗃️
Keyword Collector
(55)
Conferences
NIPS (9)
ICML (3)
ICLR (1)
Top co-authors
Keywords
diffusion model
(6)
riemannian manifold
(3)
conditional generation
(2)
generative model
(2)
representation learning
(2)
normalizing flow
(2)
data augmentation
(1)
constrained generation
(1)
manifold learning
(1)
importance sampling
(1)
hierarchical representation
(1)
probability distribution
(1)
stochastic process
(1)
score matching
(1)
time series
(1)
self-supervised learning
(1)
probability measure
(1)
image reconstruction
(1)
latent representation
(1)
variational inference
(1)
Papers
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform
NIPS 2024
On conditional diffusion models for PDE simulations
NIPS 2024
SE(3) diffusion model with application to protein backbone generation
ICML 2023
Geometric Neural Diffusion Processes
NIPS 2023
Metropolis Sampling for Constrained Diffusion Models
NIPS 2023
SE(3) Equivariant Augmented Coupling Flows
NIPS 2023
Learning Instance-Specific Augmentations by Capturing Local Invariances
ICML 2023
Riemannian Score-Based Generative Modelling
NIPS 2022
On Incorporating Inductive Biases into VAEs
ICLR 2022
On Contrastive Representations of Stochastic Processes
NIPS 2021
Riemannian Continuous Normalizing Flows
NIPS 2020
Disentangling Disentanglement in Variational Autoencoders
ICML 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
NIPS 2019