Anirbit Mukherjee

Accepting PhD Students

PhD projects

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

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2024
Chaotic Systems and Neural Networks
Craciun, C. & Mukherjee, A., 2024.
Research output: Contribution to conference › Poster › peer-review

Open Access
Fully Data-Driven Solving of Aerofoil-Wind Interactions in a Single Training of a Single Multi-Output DeepONet
Andre-Sloan, S., Kumar, D. & Mukherjee, A., 2024.
Research output: Contribution to conference › Poster › peer-review

Open Access
Langevin Monte-Carlo Provably Trains Depth Two Neural Nets at Any Size and Data
Kumar, D., Samyak Jha & Mukherjee, A., 22 Nov 2024, (In preparation).
Research output: Contribution to conference › Poster
2023
Investigating the Ability of PINNs To Solve Burgers’ PDE Near Finite-Time BlowUp
Kumar, D. & Mukherjee, A., 15 Dec 2023. 21 p.
Research output: Contribution to conference › Poster › peer-review

Open Access
2019

Improving PAC-Bayesian risk bounds on deep nets using geometrical properties of the training algorithm
Mukherjee, A., Roy, D., Rastogi, P. & Yang, J., 2019.
Research output: Contribution to conference › Poster › peer-review

Open Access
2018
Convergence guarantees for RMSProp and ADAM in non-convex optimization and an empirical comparison to Nesterov acceleration
De, S., Mukherjee, A. & Ullah, E., 2018.
Research output: Contribution to conference › Poster › peer-review

Research output