On the NP-hardness of bounded distance decoding of Reed-Solomon codes. - Venkata Gandikota; Badih Ghazi; Elena Grigorescu (ISIT, 2015)

Local Testing for Membership in Lattices. - Karthekeyan Chandrasekaran; Mahdi Cheraghchi; Venkata Gandikota; Elena Grigorescu (Electron. Colloquium Comput. Complex., 2016)

Maximally recoverable codes: The bounded case. - Venkata Gandikota; Elena Grigorescu; Clayton Thomas; Minshen Zhu (Allerton, 2017)

Deciding Orthogonality in Construction-A Lattices. - Karthekeyan Chandrasekaran; Venkata Gandikota; Elena Grigorescu (SIAM J. Discret. Math., 2017)

Local and Global Computation on Algebraic Data - Venkata Gandikota (2017)

Brief Announcement: Relaxed Locally Correctable Codes in Computationally Bounded Channels. - Jeremiah Blocki; Venkata Gandikota; Elena Grigorescu; Samson Zhou (ICALP, 2018)

Lattice-based Locality Sensitive Hashing is Optimal. - Karthekeyan Chandrasekaran; Daniel Dadush; Venkata Gandikota; Elena Grigorescu (ITCS, 2018)

NP-Hardness of Reed-Solomon Decoding, and the Prouhet-Tarry-Escott Problem. - Venkata Gandikota; Badih Ghazi; Elena Grigorescu (SIAM J. Comput., 2018)

Local Testing of Lattices. - Karthekeyan Chandrasekaran; Mahdi Cheraghchi; Venkata Gandikota; Elena Grigorescu (SIAM J. Discret. Math., 2018)

Superset Technique for Approximate Recovery in One-Bit Compressed Sensing. - Larkin Flodin; Venkata Gandikota; Arya Mazumdar (NeurIPS, 2019)

vqSGD: Vector Quantized Stochastic Gradient Descent. - Venkata Gandikota; Raj Kumar Maity; Arya Mazumdar (CoRR, 2019)

Nearly Optimal Sparse Group Testing. - Venkata Gandikota; Elena Grigorescu; Sidharth Jaggi; Samson Zhou (IEEE Trans. Inf. Theory, 2019)

Reliable Distributed Clustering with Redundant Data Assignment. - Venkata Gandikota; Arya Mazumdar; Ankit Singh Rawat (ISIT, 2020)

Recovery of sparse linear classifiers from mixture of responses. - Venkata Gandikota; Arya Mazumdar; Soumyabrata Pal (NeurIPS, 2020)

Byzantine Resilient Distributed Clustering with Redundant Data Assignment. - Saikiran Bulusu; Venkata Gandikota; Arya Mazumdar; Ankit Singh Rawat; Pramod K. Varshney (ISIT, 2021)

Support Recovery of Sparse Signals from a Mixture of Linear Measurements. - Soumyabrata Pal; Arya Mazumdar; Venkata Gandikota (NeurIPS, 2021)

Relaxed Locally Correctable Codes in Computationally Bounded Channels. - Jeremiah Blocki; Venkata Gandikota; Elena Grigorescu; Samson Zhou (IEEE Trans. Inf. Theory, 2021)

vqSGD: Vector Quantized Stochastic Gradient Descent. - Venkata Gandikota; Daniel Kane 001; Raj Kumar Maity; Arya Mazumdar (IEEE Trans. Inf. Theory, 2022)

1-Bit Compressed Sensing with Local Sparsity Patterns. - Saikiran Bulusu; Venkata Gandikota; Pramod K. Varshney (ISIT, 2023)

Optimization using Parallel Gradient Evaluations on Multiple Parameters. - Yash Chandak; Shiv Shankar; Venkata Gandikota; Philip S. Thomas; Arya Mazumdar (CoRR, 2023)

Combinatorial Group Testing in Presence of Deletions. - Venkata Gandikota; Nikita Polyanskii; Haodong Yang (CoRR, 2023)

Density-Dependent Group Testing. - Rahil Morjaria; Saikiran Bulusu; Venkata Gandikota; Sidharth Jaggi (AISTATS, 2025)

Support Recovery in 1-Bit Compressed Sensing with Burst Sparse Noise. - Saikiran Bulusu; Venkata Gandikota; Pramod K. Varshney (ICASSP, 2025)

Locally Correctable Lattices. - Haodong Yang; Venkata Gandikota (ICASSP, 2025)

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 K. Varshney; Thakshila Wimalajeewa; Wei Yi; et al. (Signal Process., 2025)

Towards Quantum Universal Hypothesis Testing. - Arick Grootveld; Haodong Yang; Biao Chen; Venkata Gandikota; Jason Pollack (CoRR, 2025)

Robust Distributed Clustering With Redundant Data Assignment. - Saikiran Bulusu; Venkata Gandikota; Arya Mazumdar; Ankit Singh Rawat; Pramod K. Varshney (IEEE Trans. Inf. Theory, 2025)