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portfolio
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publications
Interactive Visualization of Interdependent Power and Water Infrastructure Operation
Published in IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2020
Han Han, Konstantinos Oikonomou, Nithin Chalapathi, Masood Parvania, Bei Wang
Correctness-preserving Compression of Datasets and Neural Network Models
Published in IEEE/ACM International Workshop on Software Correctness for HPC Applications (Correctness), 2020
Vinu Joseph, Nithin Chalapathi, Aditya Bhaskara, Ganesh Gopalakrishnan, Pavel Panchekha, Mu Zhang
Adaptive Covers for Mapper Graphs Using Information Criteria
Published in IEEE International Conference on Big Data (Big Data), 2021
Nithin Chalapathi, Youjia Zhou, Bei Wang
Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data
Published in IEEE Pacific Visualization Symposium (PacificVis), 2021
Youjia Zhou, Nithin Chalapathi, Archit Rathore, Yaodong Zhao, Bei Wang
TopoAct: Visually Exploring the Shape of Activations in Deep Learning
Published in Computer Graphics Forum (CGF), 2021
Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
Scaling physics-informed hard constraints with mixture-of-experts
Published in International Conference on Learning Representations (ICLR), 2024
Nithin Chalapathi, Yiheng Du, Aditi S. Krishnapriyan
Inferring Visualization Intent from Conversation
Published in ACM International Conference on Information and Knowledge Management (CIKM), 2024
Haotian Li, Nithin Chalapathi, Huamin Qu, Alvin Cheung, Aditya G. Parameswaran
Neural Spectral Methods: Self-supervised learning in the spectral domain
Published in International Conference on Learning Representations (ICLR), 2024
Yiheng Du, Nithin Chalapathi, Aditi S. Krishnapriyan
PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems
Published in Transactions on Machine Learning Research (TMLR), 2026
Divyam Goel, Nithin Chalapathi, Sanjeev Raja, Aditi S. Krishnapriyan
Learning the Shared Latent Structure of Cryo-EM Inverse Problems
Published in arXiv preprint, 2026
Nithin Chalapathi, Theo Sternlieb, Ethan Han, Sonya M. Hanson, Pilar Cossio, Aditi S. Krishnapriyan, Ritwik Gupta
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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