Anirbit Mukherjee

31 papers B 1Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalization Bounds for Physics-Informed Neural Networks for the Incompressible Navier-Stokes Equations. CoRR Sebastien Andre-Sloan, Dibyakanti Kumar, Alejandro F. Frangi, Anirbit Mukherjee
2025	J	`jnl`	Langevin Monte-Carlo Provably Learns Depth Two Neural Nets at Any Size and Data. CoRR Dibyakanti Kumar, Samyak Jha, Anirbit Mukherjee
2025	J	`jnl`	Noisy PDE Training Requires Bigger PINNs. CoRR Sebastien Andre-Sloan, Anirbit Mukherjee, Matthew Colbrook
2025	J	`jnl`	Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks. Trans. Mach. Learn. Res. Matteo Tucat, Anirbit Mukherjee, Procheta Sen, Mingfei Sun, Omar Rivasplata
2024	J	`jnl`	Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets. Trans. Mach. Learn. Res. Pulkit Gopalani, Samyak Jha, Anirbit Mukherjee
2024	J	`jnl`	Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions. CoRR Mohan Ren, Zhihao Fang, Keren Li, Anirbit Mukherjee
2024	J	`jnl`	Investigating the ability of PINNs to solve Burgers' PDE near finite-time blowup. Mach. Learn. Sci. Technol. Dibyakanti Kumar, Anirbit Mukherjee
2024	J	`jnl`	Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks. CoRR Matteo Tucat, Anirbit Mukherjee
2024	J	`jnl`	Size Lowerbounds for Deep Operator Networks. Trans. Mach. Learn. Res. Anirbit Mukherjee, Amartya Roy
2024	J	`jnl`	Towards Size-Independent Generalization Bounds for Deep Operator Nets. Trans. Mach. Learn. Res. Pulkit Gopalani, Sayar Karmakar, Dibyakanti Kumar, Anirbit Mukherjee
2023	J	`jnl`	Depth-2 neural networks under a data-poisoning attack. Neurocomputing Sayar Karmakar, Anirbit Mukherjee, Theodore Papamarkou
2023	J	`jnl`	Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets. CoRR Pulkit Gopalani, Samyak Jha, Anirbit Mukherjee
2023	J	`jnl`	Investigating the Ability of PINNs To Solve Burgers' PDE Near Finite-Time BlowUp. CoRR Dibyakanti Kumar, Anirbit Mukherjee
2023	J	`jnl`	LIPEx - Locally Interpretable Probabilistic Explanations - To Look Beyond The True Class. CoRR Hongbo Zhu, Angelo Cangelosi, Procheta Sen, Anirbit Mukherjee
2023	J	`jnl`	Size Lowerbounds for Deep Operator Networks. CoRR Anirbit Mukherjee, Amartya Roy
2022	J	`jnl`	An Empirical Study of the Occurrence of Heavy-Tails in Training a ReLU Gate. CoRR Sayar Karmakar, Anirbit Mukherjee
2022	J	`jnl`	Capacity Bounds for the DeepONet Method of Solving Differential Equations. CoRR Pulkit Gopalani, Sayar Karmakar, Anirbit Mukherjee
2022	J	`jnl`	Global Convergence of SGD On Two Layer Neural Nets. CoRR Pulkit Gopalani, Anirbit Mukherjee
2022	J	`jnl`	Provable training of a ReLU gate with an iterative non-gradient algorithm. Neural Networks Sayar Karmakar, Anirbit Mukherjee
2021	J	`jnl`	A Study of the Mathematics of Deep Learning. CoRR Anirbit Mukherjee
2021	J	`jnl`	Investigating the locality of neural network training dynamics. CoRR Soham Dan, Phanideep Gampa, Anirbit Mukherjee
2020	J	`jnl`	A Study of Neural Training with Non-Gradient and Noise Assisted Gradient Methods. CoRR Anirbit Mukherjee, Ramchandran Muthukumar
2020	J	`jnl`	Guarantees on learning depth-2 neural networks under a data-poisoning attack. CoRR Anirbit Mukherjee, Ramchandran Muthukumar
2018	J	`jnl`	Convergence guarantees for RMSProp and ADAM in non-convex optimization and their comparison to Nesterov acceleration on autoencoders. CoRR Amitabh Basu, Soham De, Anirbit Mukherjee, Enayat Ullah
2018	B	`conf`	Sparse Coding and Autoencoders. ISIT Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Ashish Arora, Tejaswini Ganapathi, Sang (Peter) Chin, Trac D. Tran
2018	—	`conf`	Understanding Deep Neural Networks with Rectified Linear Units. ICLR (Poster) Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
2017	J	`jnl`	Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries. CoRR Akshay Rangamani, Anirbit Mukherjee, Ashish Arora, Tejaswini Ganapathy, Amitabh Basu, Sang (Peter) Chin, Trac D. Tran
2017	J	`jnl`	Lower bounds over Boolean inputs for deep neural networks with ReLU gates. CoRR Anirbit Mukherjee, Amitabh Basu
2017	J	`jnl`	Lower bounds over Boolean inputs for deep neural networks with ReLU gates. Electron. Colloquium Comput. Complex. Anirbit Mukherjee, Amitabh Basu
2017	J	`jnl`	Understanding Deep Neural Networks with Rectified Linear Units. Electron. Colloquium Comput. Complex. Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
2016	J	`jnl`	Understanding Deep Neural Networks with Rectified Linear Units. CoRR Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee