Nithin Chalapathi

Orcid: 0000-0002-6160-1155

According to our database1, Nithin Chalapathi authored at least 10 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems.
Trans. Mach. Learn. Res., 2026

2024
Neural Spectral Methods: Self-supervised learning in the spectral domain.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling physics-informed hard constraints with mixture-of-experts.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Inferring Visualization Intent from Conversation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2021
TopoAct: Visually Exploring the Shape of Activations in Deep Learning.
Comput. Graph. Forum, 2021

Adaptive Covers for Mapper Graphs Using Information Criteria.
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.
Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

2020
Correctness-preserving Compression of Datasets and Neural Network Models.
Proceedings of the 4th IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2020

Interactive Visualization of Interdependent Power and Water Infrastructure Operation.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019
TopoAct: Exploring the Shape of Activations in Deep Learning.
CoRR, 2019


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