182 citations · 251 across the 19 of their papers we have counts for
6 papers · 1 filter
Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems
Karn Tiwari, Niladri Dutta, N M Anoop Krishnan +1
Modeling interacting dynamical systems requires capturing spatial interactions alongside long-range temporal dependencies. Graph neural networks (GNNs) provide a natural representa…
GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond
Parth Verma, Parv P. Singh, Vipul Garg +3
Graph Neural Networks (GNNs) have revolutionized Neural Force Fields for atomistic simulations, achieving near-quantum accuracy at reduced cost, yet adapting these models to new ch…
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…
CoNO: Complex Neural Operator for Continous Dynamical Physical Systems
Karn Tiwari, N M Anoop Krishnan, A P Prathosh
Neural operators extend data-driven models to map between infinite-dimensional functional spaces. While these operators perform effectively in either the time or frequency domain,…
CoNO: Complex Neural Operator for Continuous Dynamical Systems
Karn Tiwari, N M Anoop Krishnan, Prathosh A P
Neural operators extend data-driven models to map between infinite-dimensional functional spaces. These models have successfully solved continuous dynamical systems represented by…
CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems
Priyanshu Burark, Karn Tiwari, Meer Mehran Rashid +2
Continuous dynamical systems, characterized by differential equations, are ubiquitously used to model several important problems: plasma dynamics, flow through porous media, weathe…