引用次数
引用: 4,395
H-指数: 33
I10-指数 : 54
出版物: 118
Robust Gradient Descent via Moment Encoding and LDPC Codes
Raj Kumar Maity , Ankit Singh Rawa , Arya Mazumdar
international symposium on information theory 2734 -2738
40
2019
Update efficient codes for distributed storage
Ankit Singh Rawat , Sriram Vishwanath , Abhishek Bhowmick , Emina Soljanin
international symposium on information theory 1457 -1461
19
2011
Associative memory via a sparse recovery model
Ankit Singh Rawat , Arya Mazumdar
neural information processing systems 28 2701 -2709
4
2015
New coding techniques for distributed storage systems: enabling locality, availability and security
Ankit Singh Rawat
2015
MDS Code Constructions with Small Sub-packetization and Near-optimal Repair Bandwidth
Venkatesan Guruswami , Itzhak Tamo , Klim Efremenko , Ankit Singh Rawat
arXiv: Information Theory
8
2017
Lifting high-dimensional non-linear models with Gaussian regressors
Christos Thrampoulidis , Ankit Singh Rawat
international conference on artificial intelligence and statistics 3206 -3215
4
2019
Reliable Distributed Clustering with Redundant Data Assignment
Venkata Gandikota , Ankit Singh Rawat , Arya Mazumdar
arXiv: Distributed, Parallel, and Cluster Computing
1
2020
MDS code constructions with small sub-packetization and near-optimal repair bandwidth
Ankit Singh Rawat , Itzhak Tamo , Venkatesan Guruswami , Klim Efremenko
symposium on discrete algorithms 2109 -2122
39
2017
Sampled Softmax with Random Fourier Features
Ananda Theertha Suresh , Ankit Singh Rawat , Jiecao Chen , Felix Xinnan X. Yu
neural information processing systems 32 13834 -13844
17
2019
Multilabel reductions: what is my loss optimising?
Aditya Krishna Menon , Ankit Singh Rawat , Sashank Reddi , Sanjiv Kumar
neural information processing systems 32 10600 -10611
8
2019
Are Transformers universal approximators of sequence-to-sequence functions?
Srinadh Bhojanapalli , Ankit Singh Rawat , Sashank J. Reddi , Sanjiv Kumar
arXiv: Learning
120
2019
Concise Multi-head Attention Models
Srinadh Bhojanapalli , Ankit Singh Rawat , Sashank Reddi , Sanjiv Kumar
2019
Low-Rank Bottleneck in Multi-head Attention Models
Srinadh Bhojanapalli , Ankit Singh Rawat , Sashank J. Reddi , Sanjiv Kumar
arXiv: Learning
37
2020
Federated Learning with Only Positive Labels
Felix Yu , Ankit Singh Rawat , Aditya Menon , Sanjiv Kumar
arXiv: Learning
61
2020
Long-tail learning via logit adjustment
Sadeep Jayasumana , Andreas Veit , Ankit Singh Rawat , Sanjiv Kumar
arXiv: Learning
269
2020
Optimal Locally Repairable and Secure Codes for Distributed Storage Systems
Natalia Silberstein , Sriram Vishwanath , O. Ozan Koyluoglu , Ankit Singh Rawat
arXiv: Information Theory
279
2012
Adversarial robustness via robust low rank representations
Aravindan Vijayaraghavan , Ankit Singh Rawat , Pranjal Awasthi , Himanshu Jain
neural information processing systems 33 11391 -11403
12
2020
Robust large-margin learning in hyperbolic space
Ankit Singh Rawat , Sanjiv Kumar , Melanie Weber , Manzil Zaheer
neural information processing systems 33 17863 -17873
2
2020
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers.
Srinadh Bhojanapalli , Ankit Singh Rawat , Sashank J. Reddi , Sanjiv Kumar
neural information processing systems 33 13783 -13794
31
2020
Modifying Memories in Transformer Models
Srinadh Bhojanapalli , Ankit Singh Rawat , Felix Yu , Sanjiv Kumar
arXiv: Computation and Language
26
2021
Sanjiv Kumar Aditya Krishna Menon Sriram Vishwanath Sashank J. Reddi Felix Xinnan Yu Srinadh Bhojanapalli O. Ozan Koyluoglu Andreas Veit Natalia Silberstein Manzil Zaheer Arya Mazumdar Sadeep Jayasumana Alexandros G Dimakis Seungyeon Kim Chulhee Yun Pramod Varshney Daliang Li Hao Chen Wittawat Jitkrittum Himanshu Jain