Publications

(BY YeaR)

*Authors listed in alphabetical ordering of last names.

J: Journal. C: Conferences. W: Workshops.

Publications by Topic

Manuscripts

[C] Target Detection in Two-Channel Passive Radars with Inter-Receiver Collaboration

Nandan Sriranga, Haodong Yang, Venkata Gandikota, Pramod K. Varshney

2026

[J] Development of stratified stochastic tensor contraction method for applications in electronic structure theory

Chandler Martin, Anaira Jalan, Arick Grootveld, Venkata Gandikota, Arindam ChakrabartyALP Computational Physics

[C] Noisy Syndrome Decoding of Hypergraph Product Codes

Venkata Gandikota, Elena Grigorescu, Venkitesh S., Vatsal Jha

Poster at Quantum Information Processing Conference (QIP), 2026

2025

[J] Low-Resolution Compressed Sensing and Beyond for Communications and Sensing: Trends and Opportunities.

Geethu Joseph, Venkata Gandikota; Ayush Bhandari; Junil Choi; In-soo Kim; Gyoseung Lee; Michail Matthaiou;

Chandra R. Murthy; Hien Quoc Ngo; Pramod Varshney; Thakshila Wimalajeewa; Wei Yi; Ye Yuan; Guoxin Zhang.

Elsevier Signal Processing.

[J] Robust Distributed Clustering with Redundant Data Assignment*

Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Rawat, Pramod K. Varshney. IEEE Transactions on Information Theory, 2025.

[W] Towards Quantum Universal Hypothesis Testing

Arick Grootveld, Haodong Yang, Biao Chen, Venkata Gandikota, Jason Pollack.IEEE Information Theory Workshop (ITW), 2025.

[C] A Surrogate-Assisted Co-Evolutionary Framework for Bilevel Optimization

Sanup Araballi, Venkata Gandikota, Pranay Sharma, Prashant Khanduri and Chilukuri Mohan

Evolutionary Computation - Theory and Applications (ECTA) 2025.

[C] Combinatorial Group Testing with Deletion Noise

Haodong Yang, Venkata Gandikota, Nikita Polyanskii.IEEE International Symposium on Information Theory (ISIT), 2025.

[C] Sublinear Time Support Recovery in 1-bit Compressed Sensing

Haodong Yang, Qiwen Zhu, Venkata GandikotaIEEE International Symposium on Information Theory (ISIT), 2025.

[C] Density-Dependent Group Testing

Rahil Morjaria, Saikiran Bulusu, Venkata Gandikota, Sidharth Jaggi. International Conference on Artificial Intelligence and Statistics (AISTATS) 2025.

[C] Support Recovery in 1-Bit Compressed Sensing with Burst Sparse Noise

Saikiran Bulusu, Venkata Gandikota, Pramod K. Varshney.IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

[C] Locally Correctable Lattices

Haodong Yang, Venkata Gandikota.IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

2023

[C] 1-Bit Compressed Sensing with Local Sparsity

Sai Kiran Bulusu, Venkata Gandikota, Pramod K. Varshney. IEEE International Symposium on Information Theory (ISIT), 2023.

2022

[J] vqSGD: Vector Quantized Stochastic Gradient Descent*

Venkata Gandikota, Daniel Kane, Raj K. Maity, Arya MazumdarIEEE Transactions on Information Theory, 2022.

[W] Optimization using Parallel Gradient Evaluations on Multiple Parameters

Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya MazumdarWorkshop on Optimization for Machine Learning, (NeurIPS), 2022.

2021

[C] Support Recovery of Sparse Signals from a Mixture of Linear Measurements*

Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal.
Advances in Neural Information Processing Systems (NeurIPS), 2021.

[C] Byzantine Resilient Distributed Clustering with Redundant Data Assignment*

Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod Kumar VarshneyIEEE International Symposium on Information Theory (ISIT), 2021.

[C] vqSGD: Vector Quantized Stochastic Gradient Descent*

Venkata Gandikota, Daniel Kane, Raj K. Maity, Arya MazumdarThe 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.

[J] Relaxed Locally Correctable Codes in Computationally Bounded Channels*

Jeremiah Blocki, Venkata Gandikota, Elena Grigorescu, Samson ZhouIEEE Transactions on Information Theory, 2021.

2020

[C] Recovery of Sparse Linear Classifiers from Mixture of Responses*

Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal.Thirty-fouth Conference on Neural Information Processing Systems (NeurIPS), 2020.

[C] Reliable Distributed Clustering with Redundant Data Assignment*

Venkata Gandikota, Arya Mazumdar, Ankit RawatIEEE Symposium on Information Theory (ISIT), 2020.

2019

[C] Superset Technique for Approximate Recovery in One-Bit Compressed Sensing*

Larkin Flodin, Venkata Gandikota, Arya MazumdarThirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019.

[W] Reliable Distributed Clustering with Redundant Data Assignment*

Venkata Gandikota, Arya Mazumdar, Ankit RawatSpotlight Presentation at Workshop on Coding Theory for Large-Scale Machine Learning, (ICML), 2019.

[W] Private vqSGD: Vector Quantized Stochastic Gradient Descent*

Venkata Gandikota, Raj K. Maity, Arya MazumdarSpotlight Presentation at Workshop on the Security and Privacy of Machine Learning, (ICML), 2019.

[C] Relaxed Locally Correctable Codes in Computationally Bounded Channels*

Jeremiah Blocki, Venkata Gandikota, Elena Grigorescu, Samson Zhou IEEE Symposium on Information Theory (ISIT), 2019.

[J] Nearly Optimal Sparse Group Testing*

Venkata Gandikota, Elena Grigorescu, Sidharth Jaggi, Samson ZhouIEEE Transactions on Information Theory, 2019.

2018

[W] Relaxed Locally Correctable Codes in Computationally Bounded Channels*

Jeremiah Blocki, Venkata Gandikota, Elena Grigorescu, Samson Zhou Brief announcement in International Colloquium on Automata, Languages, and Programming (ICALP), 2018.

[C] Lattice-based Locality Sensitive Hashing*

Karthik Chandrasekaran, Daniel Dadush, Venkata Gandikota, Elena GrigorescuProceedings of Innovations in Theoretical Computer Science (ITCS), 2018.

[J] NP-Hardness of Reed-Solomon Decoding and the Prouhet-Tarry-Escott Problem*

Venkata Gandikota, Badih Ghazi, Elena Grigorescu SIAM Journal of Computing, 2018.

[J] Local Testing for Membership in Lattices*

Karthik Chandrasekaran, Mahdi Cheraghchi, Venkata Gandikota, Elena GrigorescuSIAM Journal of Discrete Mathematics, 2018.

2017

Local and Global Computation on Algebraic Data

Venkata GandikotaPh.D. Dissertation 2017.

[C] Maximally Recoverable Codes: the Bounded Case*

Venkata Gandikota, Elena Grigorescu, Clayton Thomas, Minshen ZhuProceedings of Allerton Conference, 2017.

[J] Deciding Orthogonality in Construction-A Lattices*

Karthik Chandrasekaran, Venkata Gandikota, Elena Grigorescu SIAM Journal of Discrete Mathematics, 1244-1262, 2017.

2016

[C] Local Testing for Membership in Lattices*

Karthik Chandrasekaran, Mahdi Cheraghchi, Venkata Gandikota, Elena GrigorescuFoundations of Software Technology and Theoretical Computer Science (FSTTCS) 2016.

[C] NP-Hardness of Reed-Solomon Decoding and the Prouhet-Tarry-Escott Problem*

Venkata Gandikota, Badih Ghazi, Elena Grigorescu IEEE Symposium on Foundations of Computer Science (FOCS) 2016.

[C] Nearly Optimal Sparse Group Testing*

Venkata Gandikota, Elena Grigorescu, Sidharth Jaggi, Samson ZhouProceedings of Allerton Conference, 2016.

2015

[C] On the NP-hardness of Bounded Distance Decoding of Reed-Solomon Codes*

Venkata Gandikota, Badih Ghazi, Elena Grigorescu IEEE International Symposium on Information Theory (ISIT), 2015.

[C] Deciding Orthogonality in Construction-A Lattices*

Karthik Chandrasekaran, Venkata Gandikota, Elena Grigorescu Foundations of Software Technology and Theoretical Computer Science (FSTTCS) 2015.

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