Peeyush Kumar - RankMe

22 papers A* 3Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	OG-RAG: Ontology-grounded retrieval-augmented generation for large language models. EMNLP Kartik Sharma, Peeyush Kumar, Yunqing Li
2025	J	`jnl`	Resolution-Aware Retrieval Augmented Zero-Shot Forecasting. CoRR Iman Deznabi, Peeyush Kumar, Madalina Fiterau
2024	J	`jnl`	Economic Anthropology in the Era of Generative Artificial Intelligence. CoRR Zachary Sheldon, Peeyush Kumar
2024	J	`jnl`	OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models. CoRR Kartik Sharma, Peeyush Kumar, Yunqing Li
2024	J	`jnl`	Zero-shot Microclimate Prediction with Deep Learning. CoRR Iman Deznabi, Peeyush Kumar, Madalina Fiterau
2023	J	`jnl`	Affordable Artificial Intelligence - Augmenting Farmer Knowledge with AI. CoRR Peeyush Kumar, Andrew Nelson, Zerina Kapetanovic, Ranveer Chandra
2023	J	`jnl`	Multi-market Energy Optimization with Renewables via Reinforcement Learning. CoRR Lucien Werner, Peeyush Kumar
2023	J	`jnl`	Privacy Preserving Multi-Agent Reinforcement Learning in Supply Chains. CoRR Ananta Mukherjee, Peeyush Kumar, Boling Yang, Nishanth Chandran, Divya Gupta
2023	J	`jnl`	Reward Shaping via Diffusion Process in Reinforcement Learning. CoRR Peeyush Kumar
2022	J	`jnl`	Democratizing Data-Driven Agriculture Using Affordable Hardware. IEEE Micro Ranveer Chandra, Manohar Swaminathan, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
2022	J	`jnl`	General sum stochastic games with networked information flows. CoRR Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar
2022	J	`jnl`	Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss. IEEE Internet Things Mag. Vaishnavi Nattar Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah H. Q. Li, Tusher Chakraborty, Ranveer Chandra
2021	J	`jnl`	Complete Scanning Application Using OpenCv. CoRR Ayushe Gangal, Peeyush Kumar, Sunita Kumari
2021	A*	`conf`	Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. KDD Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021	J	`jnl`	Neural Computing. CoRR Ayushe Gangal, Peeyush Kumar, Sunita Kumari, Aditya Kumar
2021	J	`jnl`	Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. CoRR Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari
2021	A*	`conf`	Visage: enabling timely analytics for drone imagery. MobiCom Sagar Jha, Youjie Li, Shadi A. Noghabi, Vaishnavi Nattar Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta N. Sinha, Ranveer Chandra, Anirudh Badam
2021	J	`jnl`	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 Peeyush Kumar, Ayushe Gangal, Sunita Kumari
2020	J	`jnl`	Recombinant Sort: N-Dimensional Cartesian Spaced Algorithm Designed from Synergetic Combination of Hashing, Bucket, Counting and Radix Sort. Ingénierie des Systèmes d Inf. Peeyush Kumar, Ayushe Gangal, Sunita Kumari, Sunita Tiwari
2017	J	`jnl`	Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options. CoRR Peeyush Kumar, Doina Precup
2017	J	`jnl`	Near Optimal Hamiltonian-Control and Learning via Chattering. CoRR Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
2016	J	`jnl`	Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks. CoRR Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran