Hamiltonian Metric Learning and Energy-Based Training: A Dissipative Geometric Framework for Optimization

Sparsho Chakraborty, Mohammad Alamgir, Nishanth M +3

Optimization in machine learning is usually expressed through iterative rules that update model parameters using information from the loss landscape. In this work, we study an alte…