19 citations · 40 across the 11 of their papers we have counts for
21 papers
Sliding-window beats linear attention
Alexia Jolicoeur-Martineau, Rhea Sanjay Sukthanker, Pashmina Cameron +1
Due to the nature of quadratic attention, Large Language Models (LLMs) consume a lot of memory and energy. Every new token costs more than the previous one. For each additional tok…
Probabilistic Tiny Recursive Model
Amin Sghaier, Ali Parviz, Alexia Jolicoeur-Martineau
Tiny Recursive Models (TRM) solve complex reasoning tasks with a fraction of the parameters of modern large language models (LLMs) by iteratively refining a latent state and final…
One Pass Is Not Enough: Recursive Latent Refinement for Generative Models
Mehdi Esmaeilzadeh, Alexia Jolicoeur-Martineau, Chirag Vashist +1
Despite remarkable progress, image generation is far from solved. The dominant metric, FID, conflates sample fidelity with mode coverage and is close to being saturated. Yet a mode…
On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
Sacha Morin, Moonsub Byeon, Alexia Jolicoeur-Martineau +1
Semi-supervised imitation learning (SSIL) consists in learning a policy from a small dataset of action-labeled trajectories and a much larger dataset of action-free trajectories. S…
Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings
Alexia Jolicoeur-Martineau
While AI excels at generating text, audio, images, and videos, creating interactive audio-visual content such as video games remains challenging. Current LLMs can generate JavaScri…
Ctrl-Crash: Controllable Diffusion for Realistic Car Crashes
Anthony Gosselin, Ge Ya Luo, Luis Lara +5
Video diffusion techniques have advanced significantly in recent years; however, they struggle to generate realistic imagery of car crashes due to the scarcity of accident events i…