Parikshit Pareek

27 papers A* 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amortized Spectral Kernel Discovery via Prior-Data Fitted Network. CoRR Kaustubh Sharma, Srijan Tiwari, Ojasva Nema, Parikshit Pareek
2026	J	`jnl`	Fast Diffusion with Physics-Correction for ACOPF. CoRR Shashank Shekhar, Abhinav Karn, Kris Keshav, Shivam Bansal, Parikshit Pareek
2026	J	`jnl`	Structural Disentanglement in Bilinear MLPs via Architectural Inductive Bias. CoRR Ojasva Nema, Kaustubh Sharma, Aditya Chauhan, Parikshit Pareek
2025	J	`jnl`	Decoupled-Value Attention for Prior-Data Fitted Networks: GP Inference for Physical Equations. CoRR Kaustubh Sharma, Simardeep Singh, Parikshit Pareek
2025	J	`jnl`	Gaussian Processes in Power Systems: Techniques, Applications, and Future Works. CoRR Bendong Tan, Tong Su, Yu Weng, Ketian Ye, Parikshit Pareek, Petr Vorobev, Hung D. Nguyen, Junbo Zhao, Deepjyoti Deka
2025	A*	`conf`	Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. ICML Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka
2025	J	`jnl`	Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes. CoRR Daniel Glover, Parikshit Pareek, Deepjyoti Deka, Anamika Dubey
2025	J	`jnl`	Small LLMs with Expert Blocks Are Good Enough for Hyperparamter Tuning. CoRR Om Naphade, Saksham Bansal, Parikshit Pareek
2025	J	`jnl`	Towards AC Feasibility of DCOPF Dispatch. CoRR Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, Daniel K. Molzahn
2024	—	`conf`	A Convergence Predictor Model for Consensus-based Decentralised Energy Markets. e-Energy Y. S. Eddy Foo, Parikshit Pareek, L. P. M. I. Sampath, Hung D. Nguyen
2024	J	`jnl`	A Stress-Cognizant Optimal Battery Dispatch Framework for Multimarket Participation. IEEE Trans. Ind. Informatics Anshuman Singh, Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Lalit Goel, Hoay Beng Gooi, Hung Dinh Nguyen
2024	J	`jnl`	Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation. CoRR Parikshit Pareek, L. P. M. I. Sampath, Anshuman Singh, Lalit Goel, Hoay Beng Gooi, Hung Dinh Nguyen
2024	J	`jnl`	Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. CoRR Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra
2024	J	`jnl`	Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. CoRR Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra
2023	J	`jnl`	A Convergence Predictor Model for Consensus-based Decentralised Energy Markets. CoRR Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Hung D. Nguyen, Yi Shyh Eddy Foo
2023	J	`jnl`	Data-Efficient Power Flow Learning for Network Contingencies. CoRR Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
2023	J	`jnl`	Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. CoRR Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
2023	J	`jnl`	Locating Critical Prosumers in P2P Dominant Grids Using State-Sensitivity Function. IEEE Trans. Smart Grid Parikshit Pareek, Mohasha Isuru Sampath Lahanda Purage, Hung Dinh Nguyen, Yi Shyh Eddy Foo
2023	J	`jnl`	Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion. IEEE Syst. J. Sel Ly, Parikshit Pareek, Hung Dinh Nguyen
2021	J	`jnl`	A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow. IEEE Trans. Control. Netw. Syst. Parikshit Pareek, Hung Dinh Nguyen
2021	—	`conf`	Health-Focused Optimal Power Flow. ISGT Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, Hung D. Nguyen
2021	J	`jnl`	Optimal Steady-State Voltage Control Using Gaussian Process Learning. IEEE Trans. Ind. Informatics Parikshit Pareek, Weng Yu, Hung Dinh Nguyen
2020	J	`jnl`	Gaussian Process Learning-based Probabilistic Optimal Power Flow. CoRR Parikshit Pareek, Hung D. Nguyen
2020	J	`jnl`	Health-Focused Optimal Power Flow. CoRR Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, Hung D. Nguyen
2019	J	`jnl`	Non-parametric Probabilistic Load Flow using Gaussian Process Learning. CoRR Parikshit Pareek, Chuan Wang, Hung D. Nguyen
2019	J	`jnl`	Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning. CoRR Parikshit Pareek, Hung D. Nguyen
2019	J	`jnl`	Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach. CoRR Parikshit Pareek, Hung D. Nguyen