2 citations · 7 across the 11 of their papers we have counts for
12 papers
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…
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…
Spectral Query-Key Product Weight Steering for Training-Free VLM Hallucination Mitigation
Karn Tiwari, Varnith Chordia, Prathosh A P
Vision-language models (VLMs) often generate fluent but visually unsupported descriptions, especially by mentioning objects absent from the image. We propose QK Product Steering, a…
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…
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…
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…
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…
Accelerating Sensor Fusion in Neuromorphic Computing: A Case Study on Loihi-2
Murat Isik, Karn Tiwari, Muhammed Burak Eryilmaz +1
In our study, we utilized Intel's Loihi-2 neuromorphic chip to enhance sensor fusion in fields like robotics and autonomous systems, focusing on datasets such as AIODrive, Oxford R…
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,…
A Survey Examining Neuromorphic Architecture in Space and Challenges from Radiation
Jonathan Naoukin, Murat Isik, Karn Tiwari
Inspired by the human brain's structure and function, neuromorphic computing has emerged as a promising approach for developing energy-efficient and powerful computing systems. Neu…
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…