Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Signal from Structure: Exploiting Submodular Upper Bounds in Generative Flow Networks
Alexandre Larouche, Audrey Durand
Generative Flow Networks (GFlowNets; GFNs) are a class of generative models that learn to sample compositional objects proportionally to their a priori unknown value, their reward.…
cs.LG2025
A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
Maxime Heuillet, Rishika Bhagwatkar, Jonas Ngnawé +6
Deep learning models operating in the image domain are vulnerable to small input perturbations. For years, robustness to such perturbations was pursued by training models from scra…