Publications

2024*

  1. Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
    N. Teku, S. Adiga, and R. Tandon
    IEEE Transactions on Communications.
  2. Communicating Classification Results over Noisy Channels
    N. Teku, S. Adiga, and R. Tandon
    IEEE Conference on Communications.
  3. Trustworthy Actionable Perturbations
    J. Friedbaum, S. Adiga, and R. Tandon
    International Conference on Machine Learning (ICML) 2024.
  4. Generalization bounds for neural belief propagation decoders
    S. Adiga, X. Xiao, R. Tandon, B. Vasic, and T. Bose
    IEEE Transactions on Information Theory.
  • URLs unavailable for papers under submission/recently accepted papers.

2023

  1. Unsupervised changed detection using density-ratio estimation system and method
    R. Tandon, M. Attia, and S. Adiga
    US Patent Application No. 18/316, 138 2023.
  2. Generalization bounds for neural belief propagation decoders
    S. Adiga, X. Xiao, R. Tandon, B. Vasic, and T. Bose
    IEEE International Symposium on Information Theory.
  3. Generalization bounds for neural min-sum decoders
    S. Adiga, R. Tandon, B. Vasic, and T. Bose
    International Foundation for Telemetering.

2022

  1. Unsupervised change detection using dre-cusum
    S. Adiga, and R. Tandon
    IEEE Asilomar Conference on Signals, Systems, and Computers.
  2. Sparse Matrix Codes: Rate-Reliability Trade-offs for URLLC
    S. Adiga, R. Tandon, and T. Bose
    IEEE Annual Conference on Information Sciences.

2020

  1. Deep learning for SVD and hybrid beamforming
    T. Peken, S. Adiga, R. Tandon, and T. Bose
    IEEE Transactions of Wireless Communications.

2019

  1. Deep Learning for Generative Adversarial Networks and Change Detection
    S. Adiga (Dissertation Director: Dr. Ravi Tandon)
    M.S.Thesis, University of Arizona.

2018

  1. On the tradeoff between mode collapse and sample quality in generative adversarial networks
    S. Adiga, M. Attia, W. Chang, and R. Tandon
    IEEE Global Conference on Signal and Information Processing (GlobalSIP).

2016

  1. Kalman filter based Multiple Sensor Data Fusion in systems with time delayed state
    N. Shivashankarappa, S. Adiga, R. Avinash, and H.R. Janardhan
    IEEE International Conference on Signal Processing and Integrated Networks (SPIN).

2015

  1. Data prediction in wireless sensor networks using Kalman filter
    R. Avinash, H.R. Janardhan, S. Adiga, B. Vijeth, S. Manjunath, S. Jayashree, N. Shivashankarappa
    IEEE International Conference on Smart Sensors and Systems (IC-SSS).
  2. Synergy of delayed states and missing data in Wireless Sensor Networks using Kalman Filters
    S. Adiga, R. Avinash, H.R. Janardhan, and N. Shivashankarappa
    IEEE International Conference on Power and Advanced Control Engineering (ICPACE).
  3. A Systems View of Pathological Tremors. Systems Thinking Approach for Social Problems
    V. Talasila, R. Pasumarthy, S. Babu, and S. Adiga
    Proceedings of 37th National Systems Conference.