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cs.LG2026
Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories
Achref Jaziri, Martin Rogmann, Martin Mundt +1
Detecting out-of-distribution (OOD) data is critical for machine learning, be it for safety reasons or to enable open-ended learning. However, beyond mere detection, choosing an ap…
cs.LG2025
A Simple Baseline for Stable and Plastic Neural Networks
Ãtienne Künzel, Achref Jaziri, Visvanathan Ramesh
Continual learning in computer vision requires that models adapt to a continuous stream of tasks without forgetting prior knowledge, yet existing approaches often tip the balance h…
cs.LG2025
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri, Etienne Künzel, Visvanathan Ramesh
A continual learning agent builds on previous experiences to develop increasingly complex behaviors by adapting to non-stationary and dynamic environments while preserving previous…