| Deep learning for SVD and hybrid beamforming T Peken, S Adiga, R Tandon, T Bose IEEE Transactions on Wireless Communications 19 (10), 6621-6642, 2020 | 60 | 2020 |
| On the Tradeoff between Mode Collapse and Sample Quality in Generative Adversarial Networks S Adiga, MA Attia, WT Chang, R Tandon 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 28 | 2018 |
| Data prediction in wireless sensor networks using Kalman filter RA Avinash, HR Janardhan, S Adiga, B Vijeth, S Manjunath, S Jayashree, ... 2015 International Conference on Smart Sensors and Systems (IC-SSS), 1-4, 2015 | 17 | 2015 |
| Kalman filter based multiple sensor data fusion in systems with time delayed state N Shivashankarappa, S Adiga, RA Avinash, HR Janardhan 2016 3rd International Conference on Signal Processing and Integrated …, 2016 | 14 | 2016 |
| Research in Applications of Artificial Intelligence Techniques to Generative Process Planning in Manufacturing S Adiga, RK Li Proc. IFIP Conference on Advances in Production Management Systems, North …, 1987 | 7 | 1987 |
| Unsupervised change detection using dre-cusum S Adiga, R Tandon 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1103-1110, 2022 | 4 | 2022 |
| Generalization bounds for neural belief propagation decoders S Adiga, X Xiao, R Tandon, B Vasić, T Bose IEEE Transactions on Information Theory, 2024 | 2 | 2024 |
| Synergy of delayed states and missing data in Wireless Sensor Networks using Kalman Filters S Adiga, HR Janardhan, B Vijeth, N Shivashankarappa 2015 International Conference on Power and Advanced Control Engineering …, 2015 | 2 | 2015 |
| Unsupervised changed detection using density-ratio estimation system and method R Tandon, M Attia, S Adiga US Patent App. 18/316,138, 2023 | | 2023 |
| Generalization Bounds for Neural Belief Propagation Decoders S Adiga, X Xiao, R Tandon, B Vasic, T Bose 2023 IEEE International Symposium on Information Theory (ISIT), 596-601, 2023 | | 2023 |
| Generalization Bounds for Neural Normalized Min-Sum Decoders S Adiga, R Tandon, B Vasić, T Bose International Foundation for Telemetering, 2023 | | 2023 |
| Sparse Matrix Codes: Rate-Reliability Trade-offs for URLLC S Adiga, R Tandon, T Bose 2022 56th Annual Conference on Information Sciences and Systems (CISS), 66-71, 2022 | | 2022 |
| Deep Learning for Generative Adversarial Networks and Change Detection S Adiga The University of Arizona, 2019 | | 2019 |
| A Systems View of Pathological Tremors V Talasila, R Pasumarthy, SS Babu, S Adiga Systems Thinking Approach for Social Problems: Proceedings of 37th National …, 2015 | | 2015 |
| Synergy of Generators in Generative Adversarial Networks M Seif, S Adiga | | |
Ravi TandonAssociate Professor, University of ArizonaVerified email at arizona.edu
