On the Tradeoff between Mode Collapse and Sample Quality in Generative Adversarial Networks. - Sudarshan Adiga; Mohamed Adel Attia; Wei-Ting Chang; Ravi Tandon (GlobalSIP, 2018)

Deep Learning for SVD and Hybrid Beamforming. - Ture Peken; Sudarshan Adiga; Ravi Tandon; Tamal Bose (IEEE Trans. Wirel. Commun., 2020)

Unsupervised Change Detection using DRE-CUSUM. - Sudarshan Adiga; Ravi Tandon (IEEECONF, 2022)

Sparse Matrix Codes: Rate-Reliability Trade-offs for URLLC. - Sudarshan Adiga; Ravi Tandon; Tamal Bose (CISS, 2022)

Communicating Classification Results Over Noisy Channels. - Noel Teku; Sudarshan Adiga; Ravi Tandon (ICC, 2024)

Trustworthy Actionable Perturbations. - Jesse Friedbaum; Sudarshan Adiga; Ravi Tandon (ICML, 2024)

Fine-Grained Uncertainty Quantification via Collisions. - Jesse Friedbaum; Sudarshan Adiga; Ravi Tandon (CoRR, 2024)

Generalization Bounds for Neural Belief Propagation Decoders. - Sudarshan Adiga; Xin Xiao 001; Ravi Tandon; Bane Vasic; Tamal Bose (IEEE Trans. Inf. Theory, 2024)

Latency-Distortion Tradeoffs in Communicating Classification Results Over Noisy Channels. - Noel Teku; Sudarshan Adiga; Ravi Tandon (IEEE Trans. Commun., 2025)