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cs.LG2025
Effective Sample Size and Generalization Bounds for Temporal Networks
Barak Gahtan, Alex M. Bronstein
Learning from time series is fundamentally different from learning from i.i.d.\ data: temporal dependence can make long sequences effectively information-poor, yet standard evaluat…
astro-ph.SR2025
Machine-learning inference of stellar properties using integrated photometric and spectroscopic data
Ilay Kamai, Alex M. Bronstein, Hagai B. Perets
Stellar astrophysics relies on diverse observational modalities-primarily photometric light curves and spectroscopic data from which fundamental stellar properties are inferred. Wh…
cs.RO2025
Smart Ankleband for Plug-and-Play Hand-Prosthetic Control
Dean Zadok, Oren Salzman, Alon Wolf +1
Building robotic prostheses requires a sensor-based interface designed to provide the robotic hand with the control required to perform hand gestures. Traditional Electromyography…