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cs.LG2025★ 1 cited
Self-Ablating Transformers: More Interpretability, Less Sparsity
Jeremias Ferrao, Luhan Mikaelson, Keenan Pepper +1
A growing intuition in machine learning suggests a link between sparsity and interpretability. We introduce a novel self-ablation mechanism to investigate this connection ante-hoc…
cs.LG2025
World Model Agents with Change-Based Intrinsic Motivation
Jeremias Ferrao, Rafael Cunha
Sparse reward environments pose a significant challenge for reinforcement learning due to the scarcity of feedback. Intrinsic motivation and transfer learning have emerged as promi…