5 citations · 5 across the 4 of their papers we have counts for
4 papers
On the Benefits of Instance Decomposition in Video Prediction Models
Eliyas Suleyman, Paul Henderson, Nicolas Pugeault
Video prediction is a crucial task for intelligent agents such as robots and autonomous vehicles, since it enables them to anticipate and act early on time-critical incidents. Stat…
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach
Rory Young, Nicolas Pugeault
Deep reinforcement learning agents achieve state-of-the-art performance in a wide range of simulated control tasks. However, successful applications to real-world problems remain l…
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation
Ozgu Goksu, Nicolas Pugeault
The pursuit of learning robust representations without human supervision is a longstanding challenge. The recent advancements in self-supervised contrastive learning approaches hav…
The role of noise in denoising models for anomaly detection in medical images
Antanas Kascenas, Pedro Sanchez, Patrick Schrempf +9
Pathological brain lesions exhibit diverse appearance in brain images, in terms of intensity, texture, shape, size, and location. Comprehensive sets of data and annotations are dif…