Peeyush Kumar

According to our database, Peeyush Kumar authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Zero-shot Microclimate Prediction with Deep Learning.

Iman Deznabi, Peeyush Kumar, Madalina Fiterau

CoRR, 2024

2023

Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains.

Ananta Mukherjee, Peeyush Kumar, Boling Yang, Nishanth Chandran, Divya Gupta

CoRR, 2023

Reward Shaping via Diffusion Process in Reinforcement Learning.

Peeyush Kumar

CoRR, 2023

Multi-market Energy Optimization with Renewables via Reinforcement Learning.

Lucien Werner, Peeyush Kumar

CoRR, 2023

Affordable Artificial Intelligence - Augmenting Farmer Knowledge with AI.

Peeyush Kumar, Andrew Nelson, Zerina Kapetanovic, Ranveer Chandra

CoRR, 2023

2022

Democratizing Data-Driven Agriculture Using Affordable Hardware.

Ranveer Chandra, Manohar Swaminathan, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht

IEEE Micro, 2022

Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss.

Vaishnavi Nattar Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah H. Q. Li, Tusher Chakraborty, Ranveer Chandra

IEEE Internet Things Mag., 2022

General sum stochastic games with networked information flows.

Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar

CoRR, 2022

2021

Complete Scanning Application Using OpenCv.

Ayushe Gangal, Peeyush Kumar, Sunita Kumari

CoRR, 2021

Neural Computing.

Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar

CoRR, 2021

WisdomNet: Prognosis of COVID-19 with Slender Prospect of False Negative Cases and Vaticinating the Probability of Maturation to ARDS using Posteroanterior Chest X-Rays.

Peeyush Kumar, Ayushe Gangal, Sunita Kumari

CoRR, 2021

Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort.

Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari

CoRR, 2021

Visage: enabling timely analytics for drone imagery.

Sagar Jha, Youjie Li, Shadi A. Noghabi, Vaishnavi Nattar Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta N. Sinha, Ranveer Chandra, Anirudh Badam

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework.

Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort.

Peeyush Kumar, Ayushe Gangal, Sunita Kumari

Ingénierie des Systèmes d Inf., 2020

2017

Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options.

Peeyush Kumar, Doina Precup

CoRR, 2017

Near Optimal Hamiltonian-Control and Learning via Chattering.

Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky

CoRR, 2017

2016

Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks.

Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran

CoRR, 2016