Srinadh Bhojanapalli

Cited by

	All	Since 2020
Citations	8094	6823
h-index	28	26
i10-index	37	32

1900

950

475

1425

2015201620172018201920202021202220232024202572 121 155 325 555 832 1031 1330 1639 1819 169

Public access

View all

5 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Behnam NeyshaburMember of Technical Staff, AnthropicVerified email at anthropic.com
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinVerified email at mail.utexas.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Ayan ChakrabartiGoogle ResearchVerified email at google.com
Anastasios KyrillidisNoah Harding CS Associate Professor, Ken Kennedy Institute Fellow, Dean Fellow, Rice UniversityVerified email at rice.edu
Rachel WardUT Austin / Microsoft ResearchVerified email at math.utexas.edu
Yudong ChenAssociate Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Dohyung ParkThe University of Texas at AustinVerified email at utexas.edu
Praneeth NetrapalliGoogle ResearchVerified email at google.com
Amir KalevInformation Sciences Institute, University of Southern CaliforniaVerified email at isi.edu
Nicolas BoumalEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoVerified email at ttic.edu

Srinadh Bhojanapalli

Research Scientist, Google Research

Verified email at google.com - Homepage

Machine learning Algorithms


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Exploring generalization in deep learning B Neyshabur, S Bhojanapalli, D McAllester, N Srebro Advances in neural information processing systems 30, 2017	1519	2017
Large batch optimization for deep learning: Training bert in 76 minutes Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ... arXiv preprint arXiv:1904.00962, 2019	1104	2019
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks B Neyshabur, S Bhojanapalli, N Srebro arXiv preprint arXiv:1707.09564, 2017	705	2017
Towards understanding the role of over-parametrization in generalization of neural networks B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro arXiv preprint arXiv:1805.12076, 2018	636	2018
Implicit regularization in matrix factorization S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro Advances in neural information processing systems 30, 2017	570	2017
Understanding robustness of transformers for image classification S Bhojanapalli, A Chakrabarti, D Glasner, D Li, T Unterthiner, A Veit Proceedings of the IEEE/CVF international conference on computer vision …, 2021	470	2021
Global optimality of local search for low rank matrix recovery S Bhojanapalli, B Neyshabur, N Srebro Advances in Neural Information Processing Systems, 3873-3881, 2016	460	2016
Does label smoothing mitigate label noise? M Lukasik, S Bhojanapalli, A Menon, S Kumar International Conference on Machine Learning, 6448-6458, 2020	414	2020
Are transformers universal approximators of sequence-to-sequence functions? C Yun, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar arXiv preprint arXiv:1912.10077, 2019	385	2019
Dropping convexity for faster semi-definite optimization S Bhojanapalli, A Kyrillidis, S Sanghavi Conference on Learning Theory, 530-582, 2016	190	2016
Modifying memories in transformer models C Zhu, AS Rawat, M Zaheer, S Bhojanapalli, D Li, F Yu, S Kumar arXiv preprint arXiv:2012.00363, 2020	168	2020
Coherent matrix completion. Y Chen, S Bhojanapalli, S Sanghavi, R Ward arXiv preprint arXiv:1306.2979, 2013	151	2013
Universal matrix completion S Bhojanapalli, P Jain International Conference on Machine Learning, 1881-1889, 2014	131	2014
Stabilizing GAN training with multiple random projections B Neyshabur, S Bhojanapalli, A Chakrabarti arXiv preprint arXiv:1705.07831, 2017	110	2017
Completing any low-rank matrix, provably Y Chen, S Bhojanapalli, S Sanghavi, R Ward The Journal of Machine Learning Research 16 (1), 2999-3034, 2015	101	2015
Low-rank bottleneck in multi-head attention models S Bhojanapalli, C Yun, AS Rawat, S Reddi, S Kumar International conference on machine learning, 864-873, 2020	97	2020
Coping with label shift via distributionally robust optimisation J Zhang, A Menon, A Veit, S Bhojanapalli, S Kumar, S Sra arXiv preprint arXiv:2010.12230, 2020	82	2020
The lazy neuron phenomenon: On emergence of activation sparsity in transformers Z Li, C You, S Bhojanapalli, D Li, AS Rawat, SJ Reddi, K Ye, F Chern, ... arXiv preprint arXiv:2210.06313, 2022	81	2022
A simple and effective positional encoding for transformers PC Chen, H Tsai, S Bhojanapalli, HW Chung, YW Chang, CS Ferng arXiv preprint arXiv:2104.08698, 2021	79	2021
O (n) connections are expressive enough: Universal approximability of sparse transformers C Yun, YW Chang, S Bhojanapalli, AS Rawat, S Reddi, S Kumar Advances in Neural Information Processing Systems 33, 13783-13794, 2020	78	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors