3 papers
cs.LG2025
FINDER: Stochastic Mirroring of Noisy Quasi-Newton Search and Deep Network Training
Uttam Suman, Mariya Mamajiwala, Mukul Saxena +2
Our proposal is on a new stochastic optimizer for non-convex and possibly non-smooth objective functions typically defined over large dimensional design spaces. Towards this, we ha…
math.OC2024
Stochastic Approximation and Brownian Repulsion based Evolutionary Search
Rajdeep Dutta, T Venkatesh Varma, Saikat Sarkar +4
Many global optimization algorithms of the memetic variety rely on some form of stochastic search, and yet they often lack a sound probabilistic basis. Without a recourse to the po…
math.DS2024
Physics Informed Deep Learning for Strain Gradient Continuum Plasticity
Ankit Tyagi, Uttam Suman, Mariya Mamajiwala +1
We use a space-time discretization based on physics informed deep learning (PIDL) to approximate solutions of a class of rate-dependent strain gradient plasticity models. The diffe…