Nithin Chalapathi

According to our database, Nithin Chalapathi authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Spectral Methods: Self-supervised learning in the spectral domain.

Yiheng Du, Nithin Chalapathi, Aditi S. Krishnapriyan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling physics-informed hard constraints with mixture-of-experts.

Nithin Chalapathi, Yiheng Du, Aditi S. Krishnapriyan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Inferring Visualization Intent from Conversation.

Haotian Li, Nithin Chalapathi, Huamin Qu, Alvin Cheung, Aditya G. Parameswaran

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2021

TopoAct: Visually Exploring the Shape of Activations in Deep Learning.

Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang

Comput. Graph. Forum, 2021

Adaptive Covers for Mapper Graphs Using Information Criteria.

Nithin Chalapathi, Youjia Zhou, Bei Wang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020

Correctness-preserving Compression of Datasets and Neural Network Models.

Vinu Joseph, Nithin Chalapathi, Aditya Bhaskara, Ganesh Gopalakrishnan, Pavel Panchekha, Mu Zhang

Proceedings of the 4th IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2020

Interactive Visualization of Interdependent Power and Water Infrastructure Operation.

Han Han, Konstantinos Oikonomou, Nithin Chalapathi, Masood Parvania, Bei Wang

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

TopoAct: Exploring the Shape of Activations in Deep Learning.

Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang

CoRR, 2019