Sarthak Gupta

Orcid: 0000-0003-2498-2603

According to our database1, Sarthak Gupta authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources.
IEEE Trans. Smart Grid, January, 2024

Accelerated Smoothing: A Scalable Approach to Randomized Smoothing.
CoRR, 2024

2023
Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules.
IEEE Control. Syst. Lett., 2023

Trust, But Verify: A Survey of Randomized Smoothing Techniques.
CoRR, 2023

[Re] Double Sampling Randomized Smoothing.
CoRR, 2023

A Chance-Constrained Optimal Design of Volt/VAR Control Rules for Distributed Energy Resources.
CoRR, 2023

A Quantum Approach for Stochastic Constrained Binary Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Neural Implicit Surface Reconstruction from Noisy Camera Observations (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Controlling Smart Inverters Using Proxies: A Chance-Constrained DNN-Based Approach.
IEEE Trans. Smart Grid, 2022

Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices.
IEEE Trans. Neural Networks Learn. Syst., 2022

Neural Implicit Surface Reconstruction from Noisy Camera Observations.
CoRR, 2022

[Re] Distilling Knowledge via Knowledge Review.
CoRR, 2022

2021
A Framework of Software Architecture Principles for Sustainability-driven Design and Measurement.
Proceedings of the 18th IEEE International Conference on Software Architecture Companion, 2021

Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Machine Learning for Optimal Inverter Operation in Distribution Grids.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Latency-aware reinforced routing for opportunistic networks.
IET Commun., 2020

Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

An Evaluation of Progressive Neural Networksfor Transfer Learning in Natural Language Processing.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Evaluating the impact of caching on the energy consumption and performance of progressive web apps.
Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Optimal Real-Time Coordination of Energy Storage Units As a Voltage-Constrained Game.
IEEE Trans. Smart Grid, 2019

Bonding Based Technique for message forwarding in Social Opportunistic Network.
Scalable Comput. Pract. Exp., 2019

Real-Time Image Segmentation using Neuromorphic Pixel Array.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Low Power Neuromorphic Analog System Based on Sub-Threshold Current Mode Circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018
Neuromorphic Object Tracking Architecture, Based on Compound Eyes, and Implementation on FPGA.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Deep Q-Learning for Navigation of Robotic Arm for Tokamak Inspection.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2016
Real-time operation of heterogeneous energy storage units.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016


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