Research output per year
Research output per year
Personal profile
Overview
Dr. Anirbit is interested in the mathematics of neural networks and deep-learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Johns Hopkins University
Jan 2016 → 15 Jul 2020
Award Date: 15 Jul 2020
Bachelor of Science, Chennai Mathematical Institute
Master of Physics, Tata Institute of Fundamental Research
Post-Doctorate , University of Pennsylvania: Wharton
Areas of expertise
- QA75 Electronic computers. Computer science
Research Beacons, Institutes and Platforms
- Institute for Data Science and AI
- Christabel Pankhurst Institute
Keywords
- Neural Networks and Deep Learning
- Stochastic Optimization
- Partial Differential Equations
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Global Convergence of SGD On Two Layer Neural Nets
Gopalani, P. & Mukherjee, A., 5 Dec 2024, (Accepted/In press) In: Information and Inference: a Journal of the IMA. 22 p.Research output: Contribution to journal › Article › peer-review
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Towards Size-Independent Generalization Bounds for Deep Operator Nets
Gopalani, P., Karmakar, S., Kumar, D. & Mukherjee, A., 2 Dec 2024, In: Transactions on Machine Learning Research . 33 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Size Lowerbounds for Deep Operator Networks
Mukherjee, A. & Roy, A., 1 Feb 2024, In: Transactions on Machine Learning Research . 25 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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
File7 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
File11 Downloads (Pure)
Projects
- 1 Active
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MCAIF: Centre for AI Fundamentals
Kaski, S. (PI), Alvarez, M. (Researcher), Pan, W. (Researcher), Mu, T. (Researcher), Rivasplata, O. (PI), Sun, M. (PI), Mukherjee, A. (PI), Caprio, M. (PI), Sonee, A. (Researcher), Leroy, A. (Researcher), Wang, J. (Researcher), Lee, J. (Researcher), Parakkal Unni, M. (Researcher), Sloman, S. (Researcher), Menary, S. (Researcher), Quilter, T. (Researcher), Hosseinzadeh, A. (PGR student), Mousa, A. (PGR student), Glover, E. (PGR student), Das, A. (PGR student), DURSUN, F. (PGR student), Zhu, H. (PGR student), Abdi, H. (PGR student), Dandago, K. (PGR student), Piriyajitakonkij, M. (PGR student), Rachman, R. (PGR student), Shi, X. (PGR student), Keany, T. (PGR student), Liu, X. (PGR student), Jiang, Y. (PGR student), Wan, Z. (PGR student), Harrison, M. (Support team), Machado, M. (Support team), Hartford, J. (PI) & Kangin, D. (Researcher)
1/10/21 → 30/09/26
Project: Research
Prizes
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Inaugural MINDS (JHU) Data Science Fellowship for 2019/2020
Mukherjee, A. (Recipient), 2019
Prize: Fellowship awarded competitively
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Walter L. Robb Fellowship
Mukherjee, A. (Recipient), Nov 2018
Prize: Fellowship awarded competitively
Activities
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London Mathematical Society (External organisation)
Mukherjee, A. (Academic expert member)
Dec 2024 → …Activity: Membership › Membership of professional association › Research
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Bigger PINNs Are Needed for Noisy PDE Training
Andre-Sloan, S. (Speaker), Mukherjee, A. (Speaker) & Colbrook, M. (Speaker)
Mar 2025Activity: Talk or presentation › Oral presentation › Research
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Annals of Statistics (Journal)
Mukherjee, A. (Peer reviewer of publications)
2025Activity: Publication peer-review and editorial work › Publication peer-review › Research
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18th International Joint Conference on Computational and Financial Econometrics (CFE) and Computational and Methodological Statistics (CMStatistics)
Mukherjee, A. (Chair)
2024Activity: Participating in or organising event(s) › Organising a conference, workshop, exhibition, performance, inquiry, course etc › Research