3 papers
cs.LG2026
A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers
Mohammad AlShaikh Saleh, Sanjay Chawla, Sertac Bayhan +2
AI data centers experience rapid fluctuations in power demand due to the heterogeneity of computational tasks that they have to support. For example, the power profile of inference…
cs.LG2025
A Perspective on Symbolic Machine Learning in Physical Sciences
Nour Makke, Sanjay Chawla
Machine learning is rapidly making its pathway across all of the natural sciences, including physical sciences. The rate at which ML is impacting non-scientific disciplines is inco…
hep-ph2025
Inferring Interpretable Models of Fragmentation Functions using Symbolic Regression
Nour Makke, Sanjay Chawla
Machine learning is rapidly making its path into natural sciences, including high-energy physics. We present the first study that infers, directly from experimental data, a functio…