Emilien Dupont
11 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Venues
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Research topics
Deep Learning
(9)
Machine Learning
(9)
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(6)
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(5)
Optimization & Theory Β· Machine Learning
(5)
Models
(4)
Computer Vision
(3)
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(2)
Optimization & Theory Β· Deep Learning
(2)
Processing
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Analysis
(1)
Applications
(1)
Keywords
neural ordinary differential equation
(2)
image compression
(2)
neural network
(2)
representation learning
(2)
generative model
(2)
model fitting
(1)
neural rendering
(1)
probabilistic modeling
(1)
neural compression
(1)
probabilistic model
(1)
image generation
(1)
scene representation
(1)
deep learning
(1)
time series
(1)
implicit neural representation
(1)
adversarial training
(1)
stochastic process
(1)
markov chain
(1)
image reconstruction
(1)
3d reconstruction
(1)
Papers
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion
CVPR 2025
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video
CVPR 2024
Deep Stochastic Processes via Functional Markov Transition Operators
NeurIPS 2023
From data to functa: Your data point is a function and you can treat it like one
ICML 2022
Generative Models as Distributions of Functions
AISTATS 2022
LieTransformer: Equivariant Self-Attention for Lie Groups
ICML 2021
Equivariant Neural Rendering
ICML 2020
STEER : Simple Temporal Regularization For Neural ODE
NeurIPS 2020
Augmented Neural ODEs
NeurIPS 2019
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
AISTATS 2019
Learning Disentangled Joint Continuous and Discrete Representations
NeurIPS 2018