2 citations · 4 across the 14 of their papers we have counts for
4 papers · 1 filter
Learning Equivariant Functions via Quadratic Forms
Pavan Karjol, Vivek V Kashyap, Rohan Kashyap +1
In this study, we introduce a method for learning group (known or unknown) equivariant functions by learning the associated quadratic form corresponding to the group from…
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
Pavan Karjol, Vivek V Kashyap, Rohan Kashyap +1
We propose a modular, data-driven framework for jointly learning unknown functional mappings and discovering the underlying one-parameter symmetry subgroup governing the data. Unli…
Latent Mamba Operator for Partial Differential Equations
Karn Tiwari, Niladri Dutta, N M Anoop Krishnan +1
Neural operators have emerged as powerful data-driven frameworks for solving Partial Differential Equations (PDEs), offering significant speedups over numerical methods. However, e…
CoNOAir: A Neural Operator for Forecasting Carbon Monoxide Evolution in Cities
Sanchit Bedi, Karn Tiwari, Prathosh A. P. +2
Carbon Monoxide (CO) is a dominant pollutant in urban areas due to the energy generation from fossil fuels for industry, automobile, and domestic requirements. Forecasting the evol…