Anirbit Mukherjee

Accepting PhD Students

PhD projects

For more details see, https://anirbit-ai.github.io/repositories/

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2025
Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data
Kumar, D., Jha, S. & Mukherjee, A., 14 Mar 2025, (In preparation) arXiv.org.
Research output: Preprint/Working paper › Preprint
2024
Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions
Ren, M., Fang, Z., Li, K. & Mukherjee, A., 30 Jul 2024, (In preparation) 48 p.
Research output: Preprint/Working paper › Preprint

File
20 Downloads (Pure)
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks
Tucat, M., Mukherjee, A. & Rivasplata, O., 12 Apr 2024, (In preparation) 17 p.
Research output: Preprint/Working paper › Preprint

File
8 Downloads (Pure)
2023

LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class
Zhu, H., Cangelosi, A., Sen, P. & Mukherjee, A., 7 Oct 2023, (In preparation).
Research output: Preprint/Working paper › Preprint

File

29 Downloads (Pure)
2021

Investigating the locality of neural network training dynamics
Mukherjee, A., Gampa, P. & Dan, S., 1 Nov 2021, (In preparation).
Research output: Preprint/Working paper › Preprint

Research output