Dibyakanti Kumar

According to our database1, Dibyakanti Kumar authored at least 4 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data.
CoRR, March, 2025

2024
Towards Size-Independent Generalization Bounds for Deep Operator Nets.
Trans. Mach. Learn. Res., 2024

2023
Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp.
CoRR, 2023

2022
Realistic Data Augmentation Framework for Enhancing Tabular Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022


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