1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
Modeling and Optimization of Epidemiological Control Policies Through Reinforcement Learning
Ishir Rao
Pandemics involve the high transmission of a disease that impacts global and local health and economic patterns. The impact of a pandemic can be minimized by enforcing certain rest…
NovoMol: Recurrent Neural Network for Orally Bioavailable Drug Design and Validation on PDGFRα Receptor
Ishir Rao
Longer timelines and lower success rates of drug candidates limit the productivity of clinical trials in the pharmaceutical industry. Promising de novo drug design techniques help…