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cs.LG2026
Bayesian Flow Networks for Offline Trajectory Planning
Ludvig Killingberg, Helge Langseth
Offline reinforcement learning (RL) leverages static datasets to learn decision policies without real-time environment interaction. While recent sequence-modeling approaches rely o…
cs.LG2021
Regularizing Explanations in Bayesian Convolutional Neural Networks
Yanzhe Bekkemoen, Helge Langseth
Neural networks are powerful function approximators with tremendous potential in learning complex distributions. However, they are prone to overfitting on spurious patterns. Bayesi…