Publications

Conference Proceedings

1. Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks
   Parth Paritosh, Nikolay Atanasov and Sonia Martinez
   2022 IEEE 61st Conference on Decision and Control (CDC) [PDF] [Code] [Slides]

2. Marginal density averaging for distributed node localization from local edge measurements
   Parth Paritosh, Nikolay Atanasov and Sonia Martinez
   2020 IEEE 59th Conference on Decision and Control (CDC) [PDF] [Slides]

3. Hypothesis Assignment and Partial Likelihood Averaging for Cooperative Estimation
   Parth Paritosh, Nikolay Atanasov and Sonia Martinez
   2019 IEEE 58th Conference on Decision and Control (CDC) [PDF] [Slides]

Journal Articles

1. Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities. (Submitted)
   Parth Paritosh, Nikolay Atanasov and Sonia Martinez [PDF]

2. Distributed Variational Inference for Online Supervised Learning (Submitted)
   Parth Paritosh, Nikolay Atanasov and Sonia Martinez [PDF] [Code]

3. Distributed Bayesian Estimation of Continuous Variables Over Time-Varying Directed Networks
   Parth Paritosh, Nikolay Atanasov and Sonia Martinez
   IEEE Control Systems Letters, 2022 [PDF] [Code Capsule] [Slides]

4. Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems
   Xiaoqi Liu, Parth Paritosh, Nimish M Awalgaonkar, Ilias Bilionis and Panagiota Karava
   Solar Energy, 2018 [PDF]

5. A game theory based land layout optimization of cities using genetic algorithm
   Parth Paritosh, Bhaben Kalita and Deepak Sharma
   International Journal of Management Science and Engineering Management, 2018 [Link]

Thesis

1. Gaussian Process Dynamical Models for Designing Multi-Stage Manufacturing Processes
   Parth Paritosh Master's Thesis [Link] [Slides]