TopoAct: Exploring the Shape of Activations in Deep Learning. - Archit Rathore; Nithin Chalapathi; Sourabh Palande; Bei Wang 001 (CoRR, 2019)

Interactive Visualization of Interdependent Power and Water Infrastructure Operation. - Han Han; Konstantinos Oikonomou; Nithin Chalapathi; Masood Parvania; Bei Wang 001 (ISGT, 2020)

Correctness-preserving Compression of Datasets and Neural Network Models. - Vinu Joseph; Nithin Chalapathi; Aditya Bhaskara; Ganesh Gopalakrishnan; Pavel Panchekha; Mu Zhang 001 (CORRECTNESS@SC, 2020)

Mapper Interactive: A Scalable, Extendable, and Interactive Toolbox for the Visual Exploration of High-Dimensional Data. - Youjia Zhou; Nithin Chalapathi; Archit Rathore; Yaodong Zhao; Bei Wang 001 (PacificVis, 2021)

Adaptive Covers for Mapper Graphs Using Information Criteria. - Nithin Chalapathi; Youjia Zhou; Bei Wang 001 (IEEE BigData, 2021)

TopoAct: Visually Exploring the Shape of Activations in Deep Learning. - Archit Rathore; Nithin Chalapathi; Sourabh Palande; Bei Wang 001 (Comput. Graph. Forum, 2021)

Inferring Visualization Intent from Conversation. - Haotian Li 001; Nithin Chalapathi; Huamin Qu; Alvin Cheung; Aditya G. Parameswaran (CIKM, 2024)

Scaling physics-informed hard constraints with mixture-of-experts. - Nithin Chalapathi; Yiheng Du; Aditi S. Krishnapriyan (ICLR, 2024)

Neural Spectral Methods: Self-supervised learning in the spectral domain. - Yiheng Du; Nithin Chalapathi; Aditi S. Krishnapriyan (ICLR, 2024)