activity
20232026
most citedMultimodal LLM for Intelligent Transportation Systems

2 citations · 7 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

9 papers · 1 filter

cs.LG2026

DiffGate: Difficulty-Gated Teacher Guidance for On-Policy Distillation

Karn Tiwari, Varnith Chordia, Prathosh A P

On-policy distillation (OPD) has emerged as a widely used paradigm for post-training large language models, reducing the train--test mismatch of conventional distillation by superv…

cs.LG2026

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…

cs.LG2025

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…

cs.LG2025

Battery State of Health Estimation Using LLM Framework

Aybars Yunusoglu, Dexter Le, Karn Tiwari +2

Battery health monitoring is critical for the efficient and reliable operation of electric vehicles (EVs). This study introduces a transformer-based framework for estimating the St…

cs.LG2025

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…

cs.LG2024★ 2 cited

Multimodal LLM for Intelligent Transportation Systems

Dexter Le, Aybars Yunusoglu, Karn Tiwari +2

In the evolving landscape of transportation systems, integrating Large Language Models (LLMs) offers a promising frontier for advancing intelligent decision-making across various a…

cs.LG2024

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,…

cs.LG2023★ 1 cited

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…

cs.LG2023

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…