Author

Akshit Nanda

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

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

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 alternative viewpoint in which parameter optimization is treated as the evolution of a dissipative dynamical system. The model parameters are re...

Sparsh Chakraborty, M. Alamgir, M. Nishanth et al. · 0 citations

Preprint Sep 2026

Positive Pair Geometry Matters: Optimal Transport for Contrastive Learning of Visual Representations

This work proposes OTCLR, an optimal transport-aware framework for contrastive learning representations that generates geometry-consistent positive samples that serve as positive views that better preserve image structure while explicitly modeling spatial distributional geometry.

Akshit Nanda, Shahzad Ahmad, R. Padhy · 0 citations