| Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems X Liu, P Paritosh, NM Awalgaonkar, I Bilionis, P Karava Solar energy 171, 953-970, 2018 | 29 | 2018 |
| A game theory based land layout optimization of cities using genetic algorithm P Paritosh, B Kalita, D Sharma International Journal of Management Science and Engineering Management 14 (3 …, 2019 | 21 | 2019 |
| Hypothesis assignment and partial likelihood averaging for cooperative estimation P Paritosh, N Atanasov, S Martinez 2019 IEEE 58th Conference on Decision and Control (CDC), 7850-7856, 2019 | 8 | 2019 |
| Distributed bayesian estimation of continuous variables over time-varying directed networks P Paritosh, N Atanasov, S Martinez IEEE Control Systems Letters 6, 2545-2550, 2022 | 6 | 2022 |
| Marginal density averaging for distributed node localization from local edge measurements P Paritosh, N Atanasov, S Martinez 2020 59th IEEE Conference on Decision and Control (CDC), 2404-2410, 2020 | 3 | 2020 |
| Distributed Variational Inference for Online Supervised Learning P Paritosh, N Atanasov, S Martinez arXiv preprint arXiv:2309.02606, 2023 | 1 | 2023 |
| Scalable and Efficient Bayesian Algorithms for Distributed Estimation and Inference P Paritosh UC San Diego, 2024 | | 2024 |
| Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities P Paritosh, N Atanasov, S Martinez arXiv preprint arXiv:2312.01227, 2023 | | 2023 |
| Optimal Solar Energy Utilization in Building Operation under Weather Uncertainty X Liu, P Paritosh, N Awalgaonkar, I Bilionis, P Karava | | 2018 |
| Gaussian Process Dynamical Models for Designing Multi-Stage Manufacturing Processes P Paritosh Purdue University, 2017 | | 2017 |
| Distributed estimation algorithms on optimally assigned hypotheses P Paritosh, N Atanasov, S Martinez | | |
Nikolay A. AtanasovAssistant Professor, University of California San DiegoVerified email at ucsd.edu
