Alexia Jolicoeur-Martineau

According to our database, Alexia Jolicoeur-Martineau authored at least 28 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Probabilistic Tiny Recursive Model.

Amin Sghaier, Ali Parviz, Alexia Jolicoeur-Martineau

CoRR, May, 2026

One Pass Is Not Enough: Recursive Latent Refinement for Generative Models.

Mehdi Esmaeilzadeh, Alexia Jolicoeur-Martineau, Chirag Vashist, Ke Li

CoRR, May, 2026

On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning.

Sacha Morin, Moonsub Byeon, Alexia Jolicoeur-Martineau, Sébastien Lachapelle

CoRR, February, 2026

2025

Less is More: Recursive Reasoning with Tiny Networks.

Alexia Jolicoeur-Martineau

CoRR, October, 2025

Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings.

Alexia Jolicoeur-Martineau

CoRR, August, 2025

Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes.

Anthony Gosselin, Ge Ya Luo, Luis Lara, Florian Golemo, Derek Nowrouzezahrai, Liam Paull, Alexia Jolicoeur-Martineau, Christopher Pal

CoRR, June, 2025

Generating π-Functional Molecules Using STGG+ with Active Learning.

Alexia Jolicoeur-Martineau, Yan Zhang, Boris Knyazev, Aristide Baratin, Cheng-Hao Liu

CoRR, February, 2025

Ctrl-V: Higher Fidelity Autonomous Vehicle Video Generation with Bounding-Box Controlled Object Motion.

Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal

Trans. Mach. Learn. Res., 2025

Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees.

Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang

Trans. Mach. Learn. Res., 2025

Understanding Adam Requires Better Rotation Dependent Assumptions.

Tianyue H. Zhang, Lucas Maes, Alan Milligan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality.

Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

PopulAtion Parameter Averaging (PAPA).

Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien

Trans. Mach. Learn. Res., 2024

Understanding Adam Requires Better Rotation Dependent Assumptions.

Lucas Maes, Tianyue H. Zhang, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret

CoRR, 2024

Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching.

Ange-Clément Akazan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas

CoRR, 2024

Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality.

Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal

CoRR, 2024

Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion.

Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal

CoRR, 2024

LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters.

Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu

CoRR, 2024

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees.

Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Diffusion models with location-scale noise.

Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman

CoRR, 2023

2022

CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback.

Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar

CoRR, 2022

MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation.

Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Gotta Go Fast When Generating Data with Score-Based Models.

Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas

CoRR, 2021

Adversarial score matching and improved sampling for image generation.

Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Stochastic Hamiltonian Gradient Methods for Smooth Games.

Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas

Proceedings of the 37th International Conference on Machine Learning, 2020

On Relativistic f-Divergences.

Alexia Jolicoeur-Martineau

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs.

Alexia Jolicoeur-Martineau, Ioannis Mitliagkas

CoRR, 2019

The relativistic discriminator: a key element missing from standard GAN.

Alexia Jolicoeur-Martineau

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

GANs beyond divergence minimization.

Alexia Jolicoeur-Martineau

CoRR, 2018