Dibyakanti Kumar

According to our database, Dibyakanti Kumar authored at least 5 papers between 2022 and 2026.

Collaborative distances:

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

2026

Generalization Bounds for Physics-Informed Neural Networks for the Incompressible Navier-Stokes Equations.

Sebastien Andre-Sloan, Dibyakanti Kumar, Alejandro F. Frangi, Anirbit Mukherjee

CoRR, March, 2026

2025

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

Dibyakanti Kumar, Samyak Jha, Anirbit Mukherjee

CoRR, March, 2025

2024

Towards Size-Independent Generalization Bounds for Deep Operator Nets.

Pulkit Gopalani, Sayar Karmakar, Dibyakanti Kumar, Anirbit Mukherjee

Trans. Mach. Learn. Res., 2024

Investigating the ability of PINNs to solve Burgers' PDE near finite-time blowup.

Dibyakanti Kumar, Anirbit Mukherjee

Mach. Learn. Sci. Technol., 2024

2022

Realistic Data Augmentation Framework for Enhancing Tabular Reasoning.

Dibyakanti Kumar, Vivek Gupta, Soumya Sharma, Shuo Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022