Ankit Singh Rawat

152 papers A* 36A 3B 17Misc 5Journal 78Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Continuous Chain of Thought Enables Parallel Exploration and Reasoning. CoRR Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Hrayr Harutyunyan, Ankit Singh Rawat, Samet Oymak
2025	A*	`conf`	Faster Cascades via Speculative Decoding. ICLR Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
2025	J	`jnl`	Gating is Weighting: Understanding Gated Linear Attention through In-context Learning. CoRR Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat, Maryam Fazel, Samet Oymak
2025	J	`jnl`	Robust Distributed Clustering With Redundant Data Assignment. IEEE Trans. Inf. Theory Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
2025	J	`jnl`	Short-Context Dominance: How Much Local Context Natural Language Actually Needs? CoRR Vala Vakilian, Zimeng Wang, Ankit Singh Rawat, Christos Thrampoulidis
2025	J	`jnl`	Universal Model Routing for Efficient LLM Inference. CoRR Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Zifeng Wang, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar
2024	J	`jnl`	A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs. CoRR Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar
2024	A*	`conf`	A Statistical Framework for Data-dependent Retrieval-Augmented Models. ICML Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2024	J	`jnl`	A Statistical Framework for Data-dependent Retrieval-Augmented Models. CoRR Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2024	A*	`conf`	Analysis of Plan-based Retrieval for Grounded Text Generation. EMNLP Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024	J	`jnl`	Analysis of Plan-based Retrieval for Grounded Text Generation. CoRR Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer
2024	J	`jnl`	Cascade-Aware Training of Language Models. CoRR Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go
2024	A*	`conf`	DistillSpec: Improving Speculative Decoding via Knowledge Distillation. ICLR Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-François Kagy, Rishabh Agarwal
2024	A*	`conf`	Dual-Encoders for Extreme Multi-label Classification. ICLR Nilesh Gupta, Devvrit, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon
2024	J	`jnl`	Efficient Document Ranking with Learnable Late Interactions. CoRR Ziwei Ji, Himanshu Jain, Andreas Veit, Sashank J. Reddi, Sadeep Jayasumana, Ankit Singh Rawat, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2024	J	`jnl`	Faster Cascades via Speculative Decoding. CoRR Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
2024	A*	`conf`	Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. NeurIPS Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. CoRR Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	A*	`conf`	From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. ICML Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. CoRR Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	A*	`conf`	Language Model Cascades: Token-Level Uncertainty And Beyond. ICLR Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2024	J	`jnl`	Language Model Cascades: Token-level uncertainty and beyond. CoRR Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2024	A	`conf`	Mechanics of Next Token Prediction with Self-Attention. AISTATS Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	Mechanics of Next Token Prediction with Self-Attention. CoRR Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
2024	A*	`conf`	Think before you speak: Training Language Models With Pause Tokens. ICLR Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan
2024	A*	`conf`	USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval. ICML Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Wittawat Jitkrittum, Veeranjaneyulu Sadhanala, Sadeep Jayasumana, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2024	J	`jnl`	What do larger image classifiers memorise? Trans. Mach. Learn. Res. Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2023	A*	`conf`	A Statistical Perspective on Retrieval-Based Models. ICML Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2023	J	`jnl`	DistillSpec: Improving Speculative Decoding via Knowledge Distillation. CoRR Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-François Kagy, Rishabh Agarwal
2023	J	`jnl`	Efficacy of Dual-Encoders for Extreme Multi-Label Classification. CoRR Nilesh Gupta, Devvrit Khatri, Ankit Singh Rawat, Srinadh Bhojanapalli, Prateek Jain, Inderjit S. Dhillon
2023	J	`jnl`	EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval. CoRR Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer, Sadeep Jayasumana, Veeranjaneyulu Sadhanala, Wittawat Jitkrittum, Aditya Krishna Menon, Rob Fergus, Sanjiv Kumar
2023	—	`conf`	Large Language Models with Controllable Working Memory. ACL (Findings) Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2023	A*	`conf`	On the Role of Attention in Prompt-tuning. ICML Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	J	`jnl`	On the Role of Attention in Prompt-tuning. CoRR Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	A*	`conf`	ResMem: Learn what you can and memorize the rest. NeurIPS Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
2023	J	`jnl`	ResMem: Learn what you can and memorize the rest. CoRR Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
2023	A*	`conf`	Serving Graph Compression for Graph Neural Networks. ICLR Si Si, Felix X. Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar
2023	A*	`conf`	Supervision Complexity and its Role in Knowledge Distillation. ICLR Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
2023	J	`jnl`	Supervision Complexity and its Role in Knowledge Distillation. CoRR Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
2023	A*	`conf`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. ICLR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2023	A*	`conf`	The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
2023	J	`jnl`	Think before you speak: Training Language Models With Pause Tokens. CoRR Sachin Goyal, Ziwei Ji, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar, Vaishnavh Nagarajan
2023	J	`jnl`	What do larger image classifiers memorise? CoRR Michal Lukasik, Vaishnavh Nagarajan, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2023	A*	`conf`	When Does Confidence-Based Cascade Deferral Suffice? NeurIPS Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
2023	J	`jnl`	When Does Confidence-Based Cascade Deferral Suffice? CoRR Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar
2022	A*	`conf`	A Fourier Approach to Mixture Learning. NeurIPS Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer
2022	J	`jnl`	A Fourier Approach to Mixture Learning. CoRR Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer
2022	J	`jnl`	ELM: Embedding and Logit Margins for Long-Tail Learning. CoRR Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
2022	J	`jnl`	FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients. CoRR Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi
2022	J	`jnl`	Generalization Properties of Retrieval-based Models. CoRR Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
2022	A*	`conf`	In defense of dual-encoders for neural ranking. ICML Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Seungyeon Kim, Sashank J. Reddi, Sanjiv Kumar
2022	J	`jnl`	Large Language Models with Controllable Working Memory. CoRR Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2022	J	`jnl`	Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers. CoRR Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
2022	A*	`conf`	Post-hoc estimators for learning to defer to an expert. NeurIPS Harikrishna Narasimhan, Wittawat Jitkrittum, Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
2022	J	`jnl`	Teacher Guided Training: An Efficient Framework for Knowledge Transfer. CoRR Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar
2021	A*	`conf`	A statistical perspective on distillation. ICML Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar
2021	B	`conf`	Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
2021	J	`jnl`	Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces. CoRR Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2021	A*	`conf`	Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. ICML Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2021	J	`jnl`	Distilling Double Descent. CoRR Andrew Cotter, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sashank J. Reddi, Yichen Zhou
2021	A*	`conf`	Long-tail learning via logit adjustment. ICLR Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
2021	J	`jnl`	On the Reproducibility of Neural Network Predictions. CoRR Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Krishna Menon, Sanjiv Kumar
2021	A*	`conf`	Overparameterisation and worst-case generalisation: friend or foe? ICLR Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
2021	A	`conf`	RankDistil: Knowledge Distillation for Ranking. AISTATS Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar
2021	J	`jnl`	When in Doubt, Summon the Titans: Efficient Inference with Large Models. CoRR Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar
2020	J	`jnl`	$O(n)$ Connections are Expressive Enough: Universal Approximability of Sparse Transformers. CoRR Chulhee Yun, Yin-Wen Chang, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2020	J	`jnl`	Achieving Multi-Port Memory Performance on Single-Port Memory with Coding Techniques. CoRR Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath
2020	—	`conf`	Achieving Multi-port Memory Performance on Single-Port Memory with Coding Techniques. ICICT Hardik B. Jain, Matthew Edwards, Ethan R. Elenberg, Ankit Singh Rawat, Sriram Vishwanath
2020	A*	`conf`	Adversarial robustness via robust low rank representations. NeurIPS Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan
2020	J	`jnl`	Adversarial robustness via robust low rank representations. CoRR Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan
2020	A*	`conf`	Are Transformers universal approximators of sequence-to-sequence functions? ICLR Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2020	A*	`conf`	Can gradient clipping mitigate label noise? ICLR Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2020	J	`jnl`	Doubly-stochastic mining for heterogeneous retrieval. CoRR Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2020	A*	`conf`	Federated Learning with Only Positive Labels. ICML Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020	J	`jnl`	Federated Learning with Only Positive Labels. CoRR Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020	J	`jnl`	Long-tail learning via logit adjustment. CoRR Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
2020	A*	`conf`	Low-Rank Bottleneck in Multi-head Attention Models. ICML Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2020	J	`jnl`	Low-Rank Bottleneck in Multi-head Attention Models. CoRR Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2020	J	`jnl`	Modifying Memories in Transformer Models. CoRR Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar
2020	A*	`conf`	O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers. NeurIPS Chulhee Yun, Yin-Wen Chang, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2020	B	`conf`	Reliable Distributed Clustering with Redundant Data Assignment. ISIT Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
2020	J	`jnl`	Reliable Distributed Clustering with Redundant Data Assignment. CoRR Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
2020	J	`jnl`	Robust Large-Margin Learning in Hyperbolic Space. CoRR Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020	A*	`conf`	Robust large-margin learning in hyperbolic space. NeurIPS Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020	J	`jnl`	The Generalized Lasso for Sub-Gaussian Measurements With Dithered Quantization. IEEE Trans. Inf. Theory Christos Thrampoulidis, Ankit Singh Rawat
2020	J	`jnl`	Why distillation helps: a statistical perspective. CoRR Aditya Krishna Menon, Ankit Singh Rawat, Sashank J. Reddi, Seungyeon Kim, Sanjiv Kumar
2019	J	`jnl`	Are Transformers universal approximators of sequence-to-sequence functions? CoRR Chulhee Yun, Srinadh Bhojanapalli, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
2019	—	`conf`	Learning and Recovery in the ReLU Model. Allerton Arya Mazumdar, Ankit Singh Rawat
2019	A	`conf`	Lifting high-dimensional non-linear models with Gaussian regressors. AISTATS Christos Thrampoulidis, Ankit Singh Rawat
2019	—	`conf`	Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity. GlobalSIP Gary C. F. Lee, Ankit Singh Rawat, Gregory W. Wornell
2019	B	`conf`	Robust Gradient Descent via Moment Encoding and LDPC Codes. ISIT Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
2019	A*	`conf`	Sampled Softmax with Random Fourier Features. NeurIPS Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
2019	J	`jnl`	Sampled Softmax with Random Fourier Features. CoRR Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
2018	J	`jnl`	Centralized Repair of Multiple Node Failures With Applications to Communication Efficient Secret Sharing. IEEE Trans. Inf. Theory Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2018	J	`jnl`	MDS Code Constructions With Small Sub-Packetization and Near-Optimal Repair Bandwidth. IEEE Trans. Inf. Theory Ankit Singh Rawat, Itzhak Tamo, Venkatesan Guruswami, Klim Efremenko
2018	J	`jnl`	Representation Learning and Recovery in the ReLU Model. CoRR Arya Mazumdar, Ankit Singh Rawat
2018	J	`jnl`	Robust Gradient Descent via Moment Encoding with LDPC Codes. CoRR Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
2018	J	`jnl`	The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization. CoRR Christos Thrampoulidis, Ankit Singh Rawat
2018	—	`conf`	The Generalized Lasso for Sub-gaussian Observations with Dithered Quantization. Allerton Christos Thrampoulidis, Ankit Singh Rawat
2017	A*	`conf`	Associative Memory Using Dictionary Learning and Expander Decoding. AAAI Arya Mazumdar, Ankit Singh Rawat
2017	—	`conf`	Efficient data access in hybrid cloud storage. Allerton Islam Samy, Onur Ozan Koyluoglu, Ankit Singh Rawat
2017	A*	`conf`	MDS Code Constructions with Small Sub-packetization and Near-optimal Repair Bandwidth. SODA Venkatesan Guruswami, Ankit Singh Rawat
2017	J	`jnl`	MDS Code Constructions with Small Sub-packetization and Near-optimal Repair Bandwidth. CoRR Ankit Singh Rawat, Itzhak Tamo, Venkatesan Guruswami, Klim Efremenko
2017	B	`conf`	Secrecy capacity of minimum storage regenerating codes. ISIT Ankit Singh Rawat
2017	B	`conf`	∊-MSR codes with small sub-packetization. ISIT Ankit Singh Rawat, Itzhak Tamo, Venkatesan Guruswami, Klim Efremenko
2016	J	`jnl`	A Note on Secure Minimum Storage Regenerating Codes. CoRR Ankit Singh Rawat
2016	J	`jnl`	Associative Memory using Dictionary Learning and Expander Decoding. CoRR Arya Mazumdar, Ankit Singh Rawat
2016	J	`jnl`	Batch Codes Through Dense Graphs Without Short Cycles. IEEE Trans. Inf. Theory Ankit Singh Rawat, Zhao Song, Alexandros G. Dimakis, Anna Gál
2016	J	`jnl`	Centralized Repair of Multiple Node Failures with Applications to Communication Efficient Secret Sharing. CoRR Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2016	B	`conf`	Centralized repair of multiple node failures. ISIT Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2016	B	`conf`	Distance preserving maps and combinatorial joint source-channel coding for large alphabets. ISIT Arya Mazumdar, Yury Polyanskiy, Ankit Singh Rawat, Hajir Roozbehani
2016	J	`jnl`	Locality and Availability in Distributed Storage. IEEE Trans. Inf. Theory Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2016	J	`jnl`	New MDS codes with small sub-packetization and near-optimal repair bandwidth. CoRR Venkatesan Guruswami, Ankit Singh Rawat
2016	J	`jnl`	Progress on High-rate MSR Codes: Enabling Arbitrary Number of Helper Nodes. CoRR Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2016	Misc	`conf`	Progress on high-rate MSR codes: Enabling arbitrary number of helper nodes. ITA Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2015	—	`conf`	Associative Memory via a Sparse Recovery Model. NIPS Arya Mazumdar, Ankit Singh Rawat
2015	B	`conf`	Batch codes through dense graphs without short cycles. ISIT Ankit Singh Rawat, Zhao Song, Alexandros G. Dimakis, Anna Gál
2015	J	`jnl`	Cooperative local repair in distributed storage. EURASIP J. Adv. Signal Process. Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath
2015	J	`jnl`	Error-Correcting Regenerating and Locally Repairable Codes via Rank-Metric Codes. IEEE Trans. Inf. Theory Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath
2015	B	`conf`	On adversarial joint source channel coding. ISIT Arya Mazumdar, Ankit Singh Rawat
2015	A*	`conf`	Understanding contention-based channels and using them for defense. HPCA Casen Hunger, Mikhail Kazdagli, Ankit Singh Rawat, Alexandros G. Dimakis, Sriram Vishwanath, Mohit Tiwari
2014	J	`jnl`	Batch Codes through Dense Graphs without Short Cycles. CoRR Alexandros G. Dimakis, Anna Gál, Ankit Singh Rawat, Zhao Song
2014	J	`jnl`	Batch Codes through Dense Graphs without Short Cycles. Electron. Colloquium Comput. Complex. Alexandros G. Dimakis, Anna Gál, Ankit Singh Rawat, Zhao Song
2014	J	`jnl`	Cooperative Local Repair in Distributed Storage. CoRR Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath
2014	B	`conf`	Dynamic control of video quality for AVS. ISIT Ankit Singh Rawat, Emina Soljanin
2014	J	`jnl`	Locality and Availability in Distributed Storage. CoRR Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2014	B	`conf`	Locality and availability in distributed storage. ISIT Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2014	—	`conf`	On codes with availability for distributed storage. ISCCSP Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2014	Misc	`conf`	On cooperative local repair in distributed storage. CISS Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath
2014	J	`jnl`	Secure Cooperative Regenerating Codes for Distributed Storage Systems. IEEE Trans. Inf. Theory Onur Ozan Koyluoglu, Ankit Singh Rawat, Sriram Vishwanath
2014	—	`conf`	Secure distributed storage systems: Local repair with minimum bandwidth regeneration. ISCCSP Ankit Singh Rawat, Natalia Silberstein, Onur Ozan Koyluoglu, Sriram Vishwanath
2013	—	`conf`	Availability and locality in distributed storage. GlobalSIP Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2013	J	`jnl`	Error-Correcting Regenerating and Locally Repairable Codes via Rank-Metric Codes. CoRR Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath
2013	J	`jnl`	Explicit MBR All-Symbol Locality Codes CoRR Govinda M. Kamath, N. Prakash, V. Lalitha, P. Vijay Kumar, Natalia Silberstein, Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2013	B	`conf`	Explicit MBR all-symbol locality codes. ISIT Govinda M. Kamath, Natalia Silberstein, N. Prakash, Ankit Singh Rawat, V. Lalitha, Onur Ozan Koyluoglu, P. Vijay Kumar, Sriram Vishwanath
2013	—	`conf`	Learning the causal graph of Markov time series. Allerton Avhishek Chatterjee, Ankit Singh Rawat, Sriram Vishwanath, Sujay Sanghavi
2013	J	`jnl`	Optimal Locally Repairable Codes via Rank-Metric Codes CoRR Natalia Silberstein, Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2013	B	`conf`	Optimal locally repairable codes via rank-metric codes. ISIT Natalia Silberstein, Ankit Singh Rawat, Onur Ozan Koyluoglu, Sriram Vishwanath
2013	Misc	`conf`	Optimal locally repairable codes with local minimum storage regeneration via rank-metric codes. ITA Ankit Singh Rawat, Natalia Silberstein, Onur Ozan Koyluoglu, Sriram Vishwanath
2013	—	`conf`	Scheduling Algorithms for MU-MIMO with Partial Current CSIT and Full Delayed CSIT. VTC Spring Ankit Singh Rawat, Ozgun Y. Bursalioglu, Haralabos C. Papadopoulos
2013	B	`conf`	Secure locally repairable codes for distributed storage systems. ISIT Ankit Singh Rawat, Onur Ozan Koyluoglu, Natalia Silberstein, Sriram Vishwanath
2013	B	`conf`	The secrecy capacity of minimum bandwidth cooperative regenerating codes. ISIT Onur Ozan Koyluoglu, Ankit Singh Rawat, Sriram Vishwanath
2012	J	`jnl`	Adversarial Error Resilience in Distributed Storage Using MRD Codes and MDS Array Codes CoRR Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath
2012	—	`conf`	Error resilience in distributed storage via rank-metric codes. Allerton Conference Natalia Silberstein, Ankit Singh Rawat, Sriram Vishwanath
2012	J	`jnl`	On Locality in Distributed Storage Systems CoRR Ankit Singh Rawat, Sriram Vishwanath
2012	B	`conf`	On locality in distributed storage systems. ITW Ankit Singh Rawat, Sriram Vishwanath
2012	J	`jnl`	Optimal Locally Repairable and Secure Codes for Distributed Storage Systems CoRR Ankit Singh Rawat, Onur Ozan Koyluoglu, Natalia Silberstein, Sriram Vishwanath
2012	J	`jnl`	Secure Cooperative Regenerating Codes for Distributed Storage Systems CoRR Onur Ozan Koyluoglu, Ankit Singh Rawat, Sriram Vishwanath
2011	J	`jnl`	Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks. IEEE Trans. Signal Process. Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney
2011	B	`conf`	Update efficient codes for distributed storage. ISIT Ankit Singh Rawat, Sriram Vishwanath, Abhishek Bhowmick, Emina Soljanin
2010	Misc	`conf`	Collaborative spectrum sensing in the presence of Byzantine attacks in Cognitive Radio Networks. COMSNETS Priyank Anand, Ankit Singh Rawat, Hao Chen, Pramod K. Varshney
2010	Misc	`conf`	Countering byzantine attacks in cognitive radio networks. ICASSP Ankit Singh Rawat, Priyank Anand, Hao Chen, Pramod K. Varshney