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2020 – today
- 2022
[i39]Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi:
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. CoRR abs/2201.11865 (2022)- [i38]Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar:
ELM: Embedding and Logit Margins for Long-Tail Learning. CoRR abs/2204.13208 (2022) - 2021
- [c50]Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar:
RankDistil: Knowledge Distillation for Ranking. AISTATS 2021: 2368-2376 - [c49]Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar:
Long-tail learning via logit adjustment. ICLR 2021 - [c48]Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar:
Overparameterisation and worst-case generalisation: friend or foe? ICLR 2021 - [c47]Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar:
A statistical perspective on distillation. ICML 2021: 7632-7642 - [c46]Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. ICML 2021: 8890-8901 - [c45]Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney:
Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT 2021: 2143-2148 - [i37]Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar:
On the Reproducibility of Neural Network Predictions. CoRR abs/2102.03349 (2021) - [i36]Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou:
Distilling Double Descent. CoRR abs/2102.06849 (2021) - [i35]Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces. CoRR abs/2105.05736 (2021) - [i34]Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar:
When in Doubt, Summon the Titans: Efficient Inference with Large Models. CoRR abs/2110.10305 (2021) - 2020
- [j9]Christos Thrampoulidis
, Ankit Singh Rawat:
The Generalized Lasso for Sub-Gaussian Measurements With Dithered Quantization. IEEE Trans. Inf. Theory 66(4): 2487-2500 (2020) - [c44]Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath:
Achieving Multi-port Memory Performance on Single-Port Memory with Coding Techniques. ICICT 2020: 366-375 - [c43]Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Can gradient clipping mitigate label noise? ICLR 2020 - [c42]Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Are Transformers universal approximators of sequence-to-sequence functions? ICLR 2020 - [c41]Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Low-Rank Bottleneck in Multi-head Attention Models. ICML 2020: 864-873 - [c40]Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
Federated Learning with Only Positive Labels. ICML 2020: 10946-10956 - [c39]Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat:
Reliable Distributed Clustering with Redundant Data Assignment. ISIT 2020: 2556-2561 - [c38]Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
Robust large-margin learning in hyperbolic space. NeurIPS 2020 - [c37]Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. NeurIPS 2020 - [c36]Chulhee Yun, Yin-Wen Chang, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers. NeurIPS 2020 - [i33]Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath:
Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques. CoRR abs/2001.09599 (2020) - [i32]Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Low-Rank Bottleneck in Multi-head Attention Models. CoRR abs/2002.07028 (2020) - [i31]Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat:
Reliable Distributed Clustering with Redundant Data Assignment. CoRR abs/2002.08892 (2020) - [i30]Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
Robust Large-Margin Learning in Hyperbolic Space. CoRR abs/2004.05465 (2020) - [i29]Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar:
Federated Learning with Only Positive Labels. CoRR abs/2004.10342 (2020) - [i28]Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar:
Doubly-stochastic mining for heterogeneous retrieval. CoRR abs/2004.10915 (2020) - [i27]Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar:
Why distillation helps: a statistical perspective. CoRR abs/2005.10419 (2020) - [i26]Chulhee Yun, Yin-Wen Chang, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
$O(n)$ Connections are Expressive Enough: Universal Approximability of Sparse Transformers. CoRR abs/2006.04862 (2020) - [i25]Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. CoRR abs/2007.06555 (2020) - [i24]Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar:
Long-tail learning via logit adjustment. CoRR abs/2007.07314 (2020) - [i23]Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar:
Modifying Memories in Transformer Models. CoRR abs/2012.00363 (2020)
2010 – 2019
- 2019
- [c35]Christos Thrampoulidis, Ankit Singh Rawat:
Lifting high-dimensional non-linear models with Gaussian regressors. AISTATS 2019: 3206-3215 - [c34]Arya Mazumdar, Ankit Singh Rawat:
Learning and Recovery in the ReLU Model. Allerton 2019: 108-115 - [c33]Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar:
Robust Gradient Descent via Moment Encoding and LDPC Codes. ISIT 2019: 2734-2738 - [c32]Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar:
Sampled Softmax with Random Fourier Features. NeurIPS 2019: 13834-13844 - [i22]Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar:
Sampled Softmax with Random Fourier Features. CoRR abs/1907.10747 (2019) - [i21]Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar:
Are Transformers universal approximators of sequence-to-sequence functions? CoRR abs/1912.10077 (2019) - 2018
- [j8]Ankit Singh Rawat, Itzhak Tamo, Venkatesan Guruswami, Klim Efremenko:
MDS Code Constructions With Small Sub-Packetization and Near-Optimal Repair Bandwidth. IEEE Trans. Inf. Theory 64(10): 6506-6525 (2018) - [j7]Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Centralized Repair of Multiple Node Failures With Applications to Communication Efficient Secret Sharing. IEEE Trans. Inf. Theory 64(12): 7529-7550 (2018) - [c31]Christos Thrampoulidis, Ankit Singh Rawat:
The Generalized Lasso for Sub-gaussian Observations with Dithered Quantization. Allerton 2018: 624-631 - [i20]Arya Mazumdar, Ankit Singh Rawat:
Representation Learning and Recovery in the ReLU Model. CoRR abs/1803.04304 (2018) - [i19]Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar:
Robust Gradient Descent via Moment Encoding with LDPC Codes. CoRR abs/1805.08327 (2018) - [i18]Christos Thrampoulidis, Ankit Singh Rawat:
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization. CoRR abs/1807.06976 (2018) - 2017
- [c30]Arya Mazumdar, Ankit Singh Rawat:
Associative Memory Using Dictionary Learning and Expander Decoding. AAAI 2017: 267-273 - [c29]Islam Samy, Onur Ozan Koyluoglu, Ankit Singh Rawat:
Efficient data access in hybrid cloud storage. Allerton 2017: 1-8 - [c28]Ankit Singh Rawat:
Secrecy capacity of minimum storage regenerating codes. ISIT 2017: 1406-1410 - [c27]Ankit Singh Rawat, Itzhak Tamo, Venkatesan Guruswami, Klim Efremenko:
∊-MSR codes with small sub-packetization. ISIT 2017: 2043-2047 - [c26]Venkatesan Guruswami, Ankit Singh Rawat:
MDS Code Constructions with Small Sub-packetization and Near-optimal Repair Bandwidth. SODA 2017: 2109-2122 - [i17]Ankit Singh Rawat, Itzhak Tamo, Venkatesan Guruswami, Klim Efremenko:
MDS Code Constructions with Small Sub-packetization and Near-optimal Repair Bandwidth. CoRR abs/1709.08216 (2017) - 2016
- [j6]Ankit Singh Rawat, Zhao Song, Alexandros G. Dimakis, Anna Gál:
Batch Codes Through Dense Graphs Without Short Cycles. IEEE Trans. Inf. Theory 62(4): 1592-1604 (2016) - [j5]Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath:
Locality and Availability in Distributed Storage. IEEE Trans. Inf. Theory 62(8): 4481-4493 (2016) - [c25]Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Centralized repair of multiple node failures. ISIT 2016: 1003-1007 - [c24]Arya Mazumdar, Yury Polyanskiy, Ankit Singh Rawat, Hajir Roozbehani:
Distance preserving maps and combinatorial joint source-channel coding for large alphabets. ISIT 2016: 3067-3071 - [c23]Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Progress on high-rate MSR codes: Enabling arbitrary number of helper nodes. ITA 2016: 1-6 - [i16]Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Progress on High-rate MSR Codes: Enabling Arbitrary Number of Helper Nodes. CoRR abs/1601.06362 (2016) - [i15]Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Centralized Repair of Multiple Node Failures with Applications to Communication Efficient Secret Sharing. CoRR abs/1603.04822 (2016) - [i14]Venkatesan Guruswami, Ankit Singh Rawat:
New MDS codes with small sub-packetization and near-optimal repair bandwidth. CoRR abs/1608.00191 (2016) - [i13]Ankit Singh Rawat:
A Note on Secure Minimum Storage Regenerating Codes. CoRR abs/1608.01732 (2016) - [i12]Arya Mazumdar, Ankit Singh Rawat:
Associative Memory using Dictionary Learning and Expander Decoding. CoRR abs/1611.09621 (2016) - 2015
- [j4]Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath:
Cooperative local repair in distributed storage. EURASIP J. Adv. Signal Process. 2015: 107 (2015) - [j3]Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath:
Error-Correcting Regenerating and Locally Repairable Codes via Rank-Metric Codes. IEEE Trans. Inf. Theory 61(11): 5765-5778 (2015) - [c22]Casen Hunger, Mikhail Kazdagli, Ankit Singh Rawat, Alexandros G. Dimakis, Sriram Vishwanath, Mohit Tiwari:
Understanding contention-based channels and using them for defense. HPCA 2015: 639-650 - [c21]Arya Mazumdar, Ankit Singh Rawat:
On adversarial joint source channel coding. ISIT 2015: 271-275 - [c20]Ankit Singh Rawat, Zhao Song, Alexandros G. Dimakis, Anna Gál:
Batch codes through dense graphs without short cycles. ISIT 2015: 1477-1481 - [c19]Arya Mazumdar, Ankit Singh Rawat:
Associative Memory via a Sparse Recovery Model. NIPS 2015: 2701-2709 - 2014
- [j2]Onur Ozan Koyluoglu, Ankit Singh Rawat, Sriram Vishwanath:
Secure Cooperative Regenerating Codes for Distributed Storage Systems. IEEE Trans. Inf. Theory 60(9): 5228-5244 (2014) - [c18]Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath:
On cooperative local repair in distributed storage. CISS 2014: 1-5 - [c17]Ankit Singh Rawat, Natalia Silberstein, Onur Ozan Koyluoglu, Sriram Vishwanath:
Secure distributed storage systems: Local repair with minimum bandwidth regeneration. ISCCSP 2014: 5-8 - [c16]Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath:
On codes with availability for distributed storage. ISCCSP 2014: 15-18 - [c15]Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath:
Locality and availability in distributed storage. ISIT 2014: 681-685 - [c14]Ankit Singh Rawat, Emina Soljanin:
Dynamic control of video quality for AVS. ISIT 2014: 821-825 - [i11]Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath:
Locality and Availability in Distributed Storage. CoRR abs/1402.2011 (2014) - [i10]Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath:
Cooperative Local Repair in Distributed Storage. CoRR abs/1409.3900 (2014) - [i9]Alexandros G. Dimakis, Anna Gál, Ankit Singh Rawat, Zhao Song:
Batch Codes through Dense Graphs without Short Cycles. CoRR abs/1410.2920 (2014) - [i8]Alexandros G. Dimakis, Anna Gál, Ankit Singh Rawat, Zhao Song:
Batch Codes through Dense Graphs without Short Cycles. Electron. Colloquium Comput. Complex. 21: 127 (2014) - 2013
- [c13]Avhishek Chatterjee, Ankit Singh Rawat, Sriram Vishwanath, Sujay Sanghavi:
Learning the causal graph of Markov time series. Allerton 2013: 107-114 - [c12]Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis:
Availability and locality in distributed storage. GlobalSIP 2013: 923-928 - [c11]Govinda M. Kamath, Natalia Silberstein, N. Prakash, Ankit Singh Rawat, V. Lalitha, Onur Ozan Koyluoglu, P. Vijay Kumar, Sriram Vishwanath:
Explicit MBR all-symbol locality codes. ISIT 2013: 504-508 - [c10]Onur Ozan Koyluoglu, Ankit Singh Rawat, Sriram Vishwanath:
The secrecy capacity of minimum bandwidth cooperative regenerating codes. ISIT 2013: 1421-1425 - [c9]Natalia Silberstein, Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Optimal locally repairable codes via rank-metric codes. ISIT 2013: 1819-1823 - [c8]Ankit Singh Rawat, Onur Ozan Koyluoglu, Natalia Silberstein, Sriram Vishwanath:
Secure locally repairable codes for distributed storage systems. ISIT 2013: 2224-2228 - [c7]Ankit Singh Rawat, Natalia Silberstein, Onur Ozan Koyluoglu, Sriram Vishwanath:
Optimal locally repairable codes with local minimum storage regeneration via rank-metric codes. ITA 2013: 1-8 - [c6]Ankit Singh Rawat, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos:
Scheduling Algorithms for MU-MIMO with Partial Current CSIT and Full Delayed CSIT. VTC Spring 2013: 1-7 - [i7]Natalia Silberstein, Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Optimal Locally Repairable Codes via Rank-Metric Codes. CoRR abs/1301.6331 (2013) - [i6]Govinda M. Kamath, N. Prakash, V. Lalitha, P. Vijay Kumar, Natalia Silberstein, Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath:
Explicit MBR All-Symbol Locality Codes. CoRR abs/1302.0744 (2013) - [i5]Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath:
Error-Correcting Regenerating and Locally Repairable Codes via Rank-Metric Codes. CoRR abs/1312.3194 (2013) - 2012
- [c5]Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath:
Error resilience in distributed storage via rank-metric codes. Allerton Conference 2012: 1150-1157 - [c4]Ankit Singh Rawat, Sriram Vishwanath:
On locality in distributed storage systems. ITW 2012: 497-501 - [i4]Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath:
Adversarial Error Resilience in Distributed Storage Using MRD Codes and MDS Array Codes. CoRR abs/1202.0800 (2012) - [i3]Ankit Singh Rawat, Sriram Vishwanath:
On Locality in Distributed Storage Systems. CoRR abs/1204.6098 (2012) - [i2]Onur Ozan Koyluoglu, Ankit Singh Rawat, Sriram Vishwanath:
Secure Cooperative Regenerating Codes for Distributed Storage Systems. CoRR abs/1210.3664 (2012) - [i1]Ankit Singh Rawat, Onur Ozan Koyluoglu, Natalia Silberstein, Sriram Vishwanath:
Optimal Locally Repairable and Secure Codes for Distributed Storage Systems. CoRR abs/1210.6954 (2012) - 2011
- [j1]Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney:
Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks. IEEE Trans. Signal Process. 59(2): 774-786 (2011) - [c3]Ankit Singh Rawat, Sriram Vishwanath, Abhishek Bhowmick, Emina Soljanin:
Update efficient codes for distributed storage. ISIT 2011: 1457-1461 - 2010
- [c2]Priyank Anand, Ankit Singh Rawat, Hao Chen, Pramod K. Varshney:
Collaborative spectrum sensing in the presence of Byzantine attacks in Cognitive Radio Networks. COMSNETS 2010: 1-9 - [c1]Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney:
Countering byzantine attacks in cognitive radio networks. ICASSP 2010: 3098-3101
Coauthor Index
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