3 papers
cs.LG2025
A direct proof of a unified law of robustness for Bregman divergence losses
Santanu Das, Jatin Batra, Piyush Srivastava
In contemporary deep learning practice, models are often trained to near zero loss i.e. to nearly interpolate the training data. However, the number of parameters in the model is u…
cs.DS2025
Approximating the Total Variation Distance between Gaussians
Arnab Bhattacharyya, Weiming Feng, Piyush Srivastava
The total variation distance is a metric of central importance in statistics and probability theory. However, somewhat surprisingly, questions about computing it algorithmically ap…
hep-lat2024
Nuclear correlation functions using first-principle calculations of lattice quantum chromodynamics
Debsubhra Chakraborty, Piyush Srivastava, Arpith Kumar +1
Exploring nuclear physics through the fundamental constituents of the strong force -- quarks and gluons -- is a formidable challenge. While numerical calculations using lattice qua…