Emmanuel de Bézenac
16 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Triple Crown
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Conference Pioneer
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Century Club · Bronze
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Machine Learning
(13)
Deep Learning
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Optimization & Theory
(6)
Artificial Intelligence
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Core Methods
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Mathematics & Optimization
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Data Science & Analytics
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Keywords
partial differential equation
(4)
generative adversarial network
(3)
operator learning
(3)
neural operator
(3)
gradient descent
(2)
differential equation
(2)
gradient flow
(2)
state space model
(2)
optimal transport
(2)
dynamical system
(2)
domain adaptation
(1)
kalman filter
(1)
time series forecasting
(1)
maximum a posteriori
(1)
transfer learning
(1)
sample efficiency
(1)
gaussian process
(1)
conditional distribution
(1)
deep learning
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domain generalization
(1)
Papers
Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods
ICLR 2025
An operator preconditioning perspective on training in physics-informed machine learning
ICLR 2024
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
ICML 2024
Poseidon: Efficient Foundation Models for PDEs
NeurIPS 2024
Convolutional Neural Operators for robust and accurate learning of PDEs
NeurIPS 2023
Module-wise Training of Neural Networks via the Minimizing Movement Scheme
NeurIPS 2023
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
NeurIPS 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
NeurIPS 2023
A Neural Tangent Kernel Perspective of GANs
ICML 2022
Mapping conditional distributions for domain adaptation under generalized target shift
ICLR 2022
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
ICLR 2021
LEADS: Learning Dynamical Systems that Generalize Across Environments
NeurIPS 2021
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
NeurIPS 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis
NeurIPS 2020
Unsupervised Adversarial Image Reconstruction
ICLR 2019
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
ICLR 2018