2 papers
cs.LG2026
Prediction Is Not Physics: Learning and Evaluating Conserved Quantities in Neural Simulators
Andrew Bukowski, Aditya Kothari, Simba Shi +1
A diffusion model trained on Hamiltonian trajectories can achieve rollout MSE near , but the standard deviation of its energy over time is between 7500 and 36000 times lar…
cs.IT2025
Information Capacity of EEG: Theoretical and Computational Limits of Recoverable Neural Information
Ishir Rao
Electroencephalography (EEG) is widely used to study human brain dynamics, yet its quantitative information capacity remains unclear. Here, we combine information theory and synthe…