Emmanuel de Bézenac
16 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
👑
Triple Crown
🚀
Conference Pioneer
🔥
Unstoppable
(8)
💎
Century Club
(16)
Conferences
NIPS (8)
ICLR (6)
ICML (2)
Top co-authors
Keywords
partial differential equation
(3)
operator learning
(3)
neural operator
(2)
gradient flow
(2)
generative adversarial network
(2)
gaussian process
(1)
optimal transport
(1)
neural network training
(1)
multivariate time series
(1)
particle filter
(1)
generative model
(1)
switching linear dynamical system
(1)
state space model
(1)
state-space model
(1)
transfer learning
(1)
memory efficiency
(1)
time series forecasting
(1)
convolutional neural network
(1)
normalizing flow
(1)
dynamical system
(1)
Papers
Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
ICLR 2025
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
ICML 2024
An operator preconditioning perspective on training in physics-informed machine learning
ICLR 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
Convolutional Neural Operators for robust and accurate learning of PDEs
NIPS 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
NIPS 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
NIPS 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
NIPS 2023
A Neural Tangent Kernel Perspective of GANs
ICML 2022
Mapping conditional distributions for domain adaptation under generalized target shift
ICLR 2022
LEADS: Learning Dynamical Systems that Generalize Across Environments
NIPS 2021
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
ICLR 2021
Normalizing Kalman Filters for Multivariate Time Series Analysis
NIPS 2020
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
NIPS 2020
Unsupervised Adversarial Image Reconstruction
ICLR 2019
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
ICLR 2018