Emilien Dupont

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Stochastic Process

Biologically Plausible

Generative Model

Top Venues

Publications

Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi
Mathematical discoveries from program search with large language models. Nat. 625 (7995) (2024)
Jin Xu, Emilien Dupont, Kaspar Märtens, Thomas Rainforth, Yee Whye Teh
Deep Stochastic Processes via Functional Markov Transition Operators. NeurIPS (2023)
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR (2023)
Jin Xu, Emilien Dupont, Kaspar Märtens, Tom Rainforth, Yee Whye Teh
Deep Stochastic Processes via Functional Markov Transition Operators. CoRR (2023)
Hyunjik Kim, Matthias Bauer, Lucas Theis, Jonathan Richard Schwarz, Emilien Dupont
C3: High-performance and low-complexity neural compression from a single image or video. CoRR (2023)
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo Jimenez Rezende, Dan Rosenbaum
From data to functa: Your data point is a function and you can treat it like one. ICML (2022)
Emilien Dupont, Hyunjik Kim, S. M. Ali Eslami, Danilo J. Rezende, Dan Rosenbaum
From data to functa: Your data point is a function and you should treat it like one. CoRR (2022)
Emilien Dupont, Yee Whye Teh, Arnaud Doucet
Generative Models as Distributions of Functions. AISTATS (2022)
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
COIN++: Data Agnostic Neural Compression. CoRR (2022)
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet
COIN++: Neural Compression Across Modalities. Trans. Mach. Learn. Res. 2022 (2022)
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
LieTransformer: Equivariant Self-Attention for Lie Groups. ICML (2021)
Emilien Dupont, Yee Whye Teh, Arnaud Doucet
Generative Models as Distributions of Functions. CoRR (2021)
Emilien Dupont, Adam Golinski, Milad Alizadeh, Yee Whye Teh, Arnaud Doucet
COIN: COmpression with Implicit Neural representations. CoRR (2021)
Arnab Ghosh, Harkirat Singh Behl, Emilien Dupont, Philip H. S. Torr, Vinay Namboodiri
STEER : Simple Temporal Regularization For Neural ODEs. CoRR (2020)
Emilien Dupont, Miguel Ángel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh M. Susskind, Qi Shan
Equivariant Neural Rendering. CoRR (2020)
Arnab Ghosh, Harkirat S. Behl, Emilien Dupont, Philip H. S. Torr, Vinay Namboodiri
STEER : Simple Temporal Regularization For Neural ODE. NeurIPS (2020)
Michael Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
LieTransformer: Equivariant self-attention for Lie Groups. CoRR (2020)
Emilien Dupont, Miguel Bautista Martin, Alex Colburn, Aditya Sankar, Josh M. Susskind, Qi Shan
Equivariant Neural Rendering. ICML (2020)
Emilien Dupont, Suhas Suresha
Probabilistic Semantic Inpainting with Pixel Constrained CNNs. AISTATS (2019)
Emilien Dupont, Arnaud Doucet, Yee Whye Teh
Augmented Neural ODEs. CoRR (2019)
Emilien Dupont, Arnaud Doucet, Yee Whye Teh
Augmented Neural ODEs. NeurIPS (2019)
Emilien Dupont, Suhas Suresha
Probabilistic Semantic Inpainting with Pixel Constrained CNNs. CoRR (2018)
Emilien Dupont
Joint-VAE: Learning Disentangled Joint Continuous and Discrete Representations. CoRR (2018)
Emilien Dupont
Learning Disentangled Joint Continuous and Discrete Representations. NeurIPS (2018)