2 papers
cs.LG2025
EBGAN-MDN: An Energy-Based Adversarial Framework for Multi-Modal Behavior Cloning
Yixiao Li, Julia Barth, Thomas Kiefer +1
Multi-modal behavior cloning faces significant challenges due to mode averaging and mode collapse, where traditional models fail to capture diverse input-output mappings. This prob…
cs.LG2025
Double Descent as a Lens for Sample Efficiency in Autoregressive vs. Discrete Diffusion Models
Ahmad Fraij, Sam Dauncey
Data scarcity drives the need for more sample-efficient large language models. In this work, we use the double descent phenomenon to holistically compare the sample efficiency of d…