Alexia Jolicoeur-Martineau

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Parameter Settings

Image Generation

Diffusion Models

Top Venues

Publications

Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR (2024)
Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR (2024)
Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
PopulAtion Parameter Averaging (PAPA). Trans. Mach. Learn. Res. 2024 (2024)
Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion. CoRR (2024)
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. AISTATS (2024)
Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
Diffusion models with location-scale noise. CoRR (2023)
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. CoRR (2023)
Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
PopulAtion Parameter Averaging (PAPA). CoRR (2023)
Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS (2022)
Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar
CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback. CoRR (2022)
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR (2022)
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes
Adversarial score matching and improved sampling for image generation. ICLR (2021)
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
Gotta Go Fast When Generating Data with Score-Based Models. CoRR (2021)
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
Stochastic Hamiltonian Gradient Methods for Smooth Games. ICML (2020)
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas
Adversarial score matching and improved sampling for image generation. CoRR (2020)
Alexia Jolicoeur-Martineau
On Relativistic f-Divergences. ICML (2020)
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
Stochastic Hamiltonian Gradient Methods for Smooth Games. CoRR (2020)
Alexia Jolicoeur-Martineau
The relativistic discriminator: a key element missing from standard GAN. ICLR (Poster) (2019)
Alexia Jolicoeur-Martineau, Ioannis Mitliagkas
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs. CoRR (2019)
Alexia Jolicoeur-Martineau
On Relativistic f-Divergences. CoRR (2019)
Alexia Jolicoeur-Martineau
The relativistic discriminator: a key element missing from standard GAN. CoRR (2018)
Alexia Jolicoeur-Martineau
GANs beyond divergence minimization. CoRR (2018)