Emile Mathieu

35 papers A* 13A 1Journal 21
YearRankTypeTitle / Venue / Authors
2024 A* conf
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform.
NeurIPS
Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Riccardo Barbano, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lió
2024 J jnl
DEFT: Efficient Finetuning of Conditional Diffusion Models by Learning the Generalised h-transform.
CoRR
Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
2024 J jnl
Improved motif-scaffolding with SE(3) flow matching.
CoRR
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Improved motif-scaffolding with SE(3) flow matching.
Trans. Mach. Learn. Res.
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
On conditional diffusion models for PDE simulations.
NeurIPS
Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu
2024 J jnl
On conditional diffusion models for PDE simulations.
CoRR
Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu
2023 J jnl
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design.
CoRR
Kieran Didi, Francisco Vargas, Simon V. Mathis, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
2023 J jnl
Diffusion Models for Constrained Domains.
CoRR
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson
2023 J jnl
Diffusion Models for Constrained Domains.
Trans. Mach. Learn. Res.
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson
2023 A* conf
Geometric Neural Diffusion Processes.
NeurIPS
Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner
2023 J jnl
Geometric Neural Diffusion Processes.
CoRR
Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner
2023 A* conf
Learning Instance-Specific Augmentations by Capturing Local Invariances.
ICML
Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim
2023 A* conf
Metropolis Sampling for Constrained Diffusion Models.
NeurIPS
Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli
2023 J jnl
Metropolis Sampling for Constrained Diffusion Models.
CoRR
Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli
2023 A* conf
SE(3) Equivariant Augmented Coupling Flows.
NeurIPS
Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023 J jnl
SE(3) Equivariant Augmented Coupling Flows.
CoRR
Laurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023 A* conf
SE(3) diffusion model with application to protein backbone generation.
ICML
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2023 J jnl
SE(3) diffusion model with application to protein backbone generation.
CoRR
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola
2022 J jnl
Learning Instance-Specific Data Augmentations.
CoRR
Ning Miao, Emile Mathieu, Yann Dubois, Tom Rainforth, Yee Whye Teh, Adam Foster, Hyunjik Kim
2022 A* conf
On Incorporating Inductive Biases into VAEs.
ICLR
Ning Miao, Emile Mathieu, Siddharth N, Yee Whye Teh, Tom Rainforth
2022 J jnl
Riemannian Diffusion Schrödinger Bridge.
CoRR
James Thornton, Michael J. Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet
2022 J jnl
Riemannian Score-Based Generative Modeling.
CoRR
Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
2022 A* conf
Riemannian Score-Based Generative Modelling.
NeurIPS
Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
2022 J jnl
Spectral Diffusion Processes.
CoRR
Angus Phillips, Thomas Seror, Michael J. Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu
2021 J jnl
InteL-VAEs: Adding Inductive Biases to Variational Auto-Encoders via Intermediary Latents.
CoRR
Ning Miao, Emile Mathieu, N. Siddharth, Yee Whye Teh, Tom Rainforth
2021 A* conf
On Contrastive Representations of Stochastic Processes.
NeurIPS
Emile Mathieu, Adam Foster, Yee Whye Teh
2021 J jnl
On Contrastive Representations of Stochastic Processes.
CoRR
Emile Mathieu, Adam Foster, Yee Whye Teh
2020 A* conf
Riemannian Continuous Normalizing Flows.
NeurIPS
Emile Mathieu, Maximilian Nickel
2020 J jnl
Riemannian Continuous Normalizing Flows.
CoRR
Emile Mathieu, Maximilian Nickel
2019 A* conf
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders.
NeurIPS
Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh
2019 A* conf
Disentangling Disentanglement in Variational Autoencoders.
ICML
Emile Mathieu, Tom Rainforth, N. Siddharth, Yee Whye Teh
2019 J jnl
Hierarchical Representations with Poincaré Variational Auto-Encoders.
CoRR
Emile Mathieu, Charline Le Lan, Chris J. Maddison, Ryota Tomioka, Yee Whye Teh
2018 J jnl
Disentangling Disentanglement.
CoRR
Emile Mathieu, Tom Rainforth, Siddharth Narayanaswamy, Yee Whye Teh
2018 A conf
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks.
UAI
Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh
2018 J jnl
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks.
CoRR
Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh