6 citations · 11 across the 9 of their papers we have counts for
10 papers
A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy Resources
Jinlei Wei, Sarthak Gupta, Dionysios C. Aliprantis +1
Deciding setpoints for distributed energy resources (DERs) via local control rules rather than centralized optimization offers significant autonomy. The IEEE Standard 1547 recommen…
[Re] Double Sampling Randomized Smoothing
Aryan Gupta, Sarthak Gupta, Abhay Kumar +1
This paper is a contribution to the reproducibility challenge in the field of machine learning, specifically addressing the issue of certifying the robustness of neural networks (N…
A Quantum Approach for Stochastic Constrained Binary Optimization
Sarthak Gupta, Vassilis Kekatos
Analytical and practical evidence indicates the advantage of quantum computing solutions over classical alternatives. Quantum-based heuristics relying on the variational quantum ei…
Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks
Sarthak Gupta, Ali Mehrizi-Sani, Spyros Chatzivasileiadis +1
Volt/VAR control rules facilitate the autonomous operation of distributed energy resources (DER) to regulate voltage in power distribution grids. According to non-incremental contr…
Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning
Sarthak Gupta, Vassilis Kekatos, Spyros Chatzivasileiadis
Distribution grids are challenged by rapid voltage fluctuations induced by variable power injections from distributed energy resources (DERs). To regulate voltage, the IEEE Standar…
Neural Implicit Surface Reconstruction from Noisy Camera Observations
Sarthak Gupta, Patrik Huber
Representing 3D objects and scenes with neural radiance fields has become very popular over the last years. Recently, surface-based representations have been proposed, that allow t…