2 papers
cs.LG2026
Why Clipping Matters in AdaGrad? Toward a High-Probability Theory under Generalized Smoothness
Alokendu Mazumder, Ayaan Mohd, Harshit Rawat +3
We analyze the original same-step coordinate-wise AdaGrad under generalized smoothness and heavy-tailed noise with bounded variance. In this setting, local curvature may grow sub-q…
cond-mat.mtrl-sci2026
Prototype-Guided Latent Alignment for Data-Efficient Fine-Tuning of Molecular Foundation Models
Rushikesh Pawar, Harshit Rawat, Ayush Kumar +1
Machine learning interatomic potentials (MLIPs) have transformed materials discovery by leveraging graph neural networks (GNNs) to predict material properties with near density fun…