Alexia Jolicoeur-Martineau

33 papers A* 5A 1Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning. CoRR Sacha Morin, Moonsub Byeon, Alexia Jolicoeur-Martineau, Sébastien Lachapelle
2025	J	`jnl`	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. Trans. Mach. Learn. Res. Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
2025	A*	`conf`	Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality. ICLR Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal
2025	J	`jnl`	Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes. CoRR Anthony Gosselin, Ge Ya Luo, Luis Lara, Florian Golemo, Derek Nowrouzezahrai, Liam Paull, Alexia Jolicoeur-Martineau, Christopher Pal
2025	J	`jnl`	Ctrl-V: Higher Fidelity Autonomous Vehicle Video Generation with Bounding-Box Controlled Object Motion. Trans. Mach. Learn. Res. Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal
2025	J	`jnl`	Generating π-Functional Molecules Using STGG+ with Active Learning. CoRR Alexia Jolicoeur-Martineau, Yan Zhang, Boris Knyazev, Aristide Baratin, Cheng-Hao Liu
2025	J	`jnl`	Less is More: Recursive Reasoning with Tiny Networks. CoRR Alexia Jolicoeur-Martineau
2025	J	`jnl`	Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings. CoRR Alexia Jolicoeur-Martineau
2024	J	`jnl`	Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees. CoRR Alexia Jolicoeur-Martineau, Aristide Baratin, Kisoo Kwon, Boris Knyazev, Yan Zhang
2024	J	`jnl`	Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality. CoRR Ge Ya Luo, Gian Mario Favero, Zhi Hao Luo, Alexia Jolicoeur-Martineau, Christopher Pal
2024	J	`jnl`	Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion. CoRR Ge Ya Luo, Zhi Hao Luo, Anthony Gosselin, Alexia Jolicoeur-Martineau, Christopher Pal
2024	J	`jnl`	Generating Tabular Data Using Heterogeneous Sequential Feature Forest Flow Matching. CoRR Ange-Clément Akazan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas
2024	A	`conf`	Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. AISTATS Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
2024	J	`jnl`	LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters. CoRR Xinyu Zhou, Boris Knyazev, Alexia Jolicoeur-Martineau, Jie Fu
2024	J	`jnl`	PopulAtion Parameter Averaging (PAPA). Trans. Mach. Learn. Res. Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
2024	J	`jnl`	Understanding Adam Requires Better Rotation Dependent Assumptions. CoRR Lucas Maes, Tianyue H. Zhang, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret
2023	J	`jnl`	Diffusion models with location-scale noise. CoRR Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
2023	J	`jnl`	Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. CoRR Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
2023	J	`jnl`	PopulAtion Parameter Averaging (PAPA). CoRR Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
2022	J	`jnl`	CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback. CoRR Alexia Jolicoeur-Martineau, Alex Lamb, Vikas Verma, Aniket Didolkar
2022	A*	`conf`	MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. NeurIPS Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
2022	J	`jnl`	MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. CoRR Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal
2021	A*	`conf`	Adversarial score matching and improved sampling for image generation. ICLR Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Tachet des Combes
2021	J	`jnl`	Gotta Go Fast When Generating Data with Score-Based Models. CoRR Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas
2020	J	`jnl`	Adversarial score matching and improved sampling for image generation. CoRR Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas
2020	A*	`conf`	On Relativistic f-Divergences. ICML Alexia Jolicoeur-Martineau
2020	A*	`conf`	Stochastic Hamiltonian Gradient Methods for Smooth Games. ICML Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
2020	J	`jnl`	Stochastic Hamiltonian Gradient Methods for Smooth Games. CoRR Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
2019	J	`jnl`	Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs. CoRR Alexia Jolicoeur-Martineau, Ioannis Mitliagkas
2019	J	`jnl`	On Relativistic f-Divergences. CoRR Alexia Jolicoeur-Martineau
2019	—	`conf`	The relativistic discriminator: a key element missing from standard GAN. ICLR (Poster) Alexia Jolicoeur-Martineau
2018	J	`jnl`	GANs beyond divergence minimization. CoRR Alexia Jolicoeur-Martineau
2018	J	`jnl`	The relativistic discriminator: a key element missing from standard GAN. CoRR Alexia Jolicoeur-Martineau