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ORCIDPeeyush Kumar
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2020 – today
- 2024
[i14]Iman Deznabi, Peeyush Kumar, Madalina Fiterau:
Zero-shot Microclimate Prediction with Deep Learning. CoRR abs/2401.02665 (2024)- [i13]Zachary Sheldon, Peeyush Kumar:
Economic Anthropology in the Era of Generative Artificial Intelligence. CoRR abs/2410.15238 (2024) - 2023
- [i12]Peeyush Kumar
, Andrew Nelson, Zerina Kapetanovic, Ranveer Chandra:
Affordable Artificial Intelligence - Augmenting Farmer Knowledge with AI. CoRR abs/2303.06049 (2023) - [i11]Lucien Werner, Peeyush Kumar:
Multi-market Energy Optimization with Renewables via Reinforcement Learning. CoRR abs/2306.08147 (2023) - [i10]Peeyush Kumar:
Reward Shaping via Diffusion Process in Reinforcement Learning. CoRR abs/2306.11885 (2023) - [i9]Ananta Mukherjee, Peeyush Kumar, Boling Yang, Nishanth Chandran, Divya Gupta:
Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains. CoRR abs/2312.05686 (2023) - 2022
- [j3]Vaishnavi Nattar Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah H. Q. Li, Tusher Chakraborty, Ranveer Chandra:
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss. IEEE Internet Things Mag. 5(1): 41-47 (2022) - [j2]Ranveer Chandra, Manohar Swaminathan, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht:
Democratizing Data-Driven Agriculture Using Affordable Hardware. IEEE Micro 42(1): 69-77 (2022) - [i8]Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar:
General sum stochastic games with networked information flows. CoRR abs/2205.02760 (2022) - 2021
- [c2]Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant:
Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. KDD 2021: 3128-3138 - [c1]Sagar Jha, Youjie Li, Shadi A. Noghabi, Vaishnavi Nattar Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta N. Sinha, Ranveer Chandra, Anirudh Badam:
Visage: enabling timely analytics for drone imagery. MobiCom 2021: 789-803 - [i7]Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari:
Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. CoRR abs/2107.01391 (2021) - [i6]Peeyush Kumar, Ayushe Gangal, Sunita Kumari:
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. CoRR abs/2107.01392 (2021) - [i5]Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar:
Neural Computing. CoRR abs/2107.02744 (2021) - [i4]Ayushe Gangal, Peeyush Kumar, Sunita Kumari:
Complete Scanning Application Using OpenCv. CoRR abs/2107.03700 (2021) - 2020
- [j1]Peeyush Kumar, Ayushe Gangal, Sunita Kumari:
Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. Ingénierie des Systèmes d Inf. 25(5): 655-668 (2020)
2010 – 2019
- 2017
- [i3]Peeyush Kumar, Doina Precup:
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options. CoRR abs/1703.06471 (2017) - [i2]Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky:
Near Optimal Hamiltonian-Control and Learning via Chattering. CoRR abs/1703.06485 (2017) - 2016
- [i1]Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran:
Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks. CoRR abs/1605.05359 (2016)
Coauthor Index
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