OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
Peeyush Kumar, Kartik Sharma
April 2025
Peeyush Kumar
Senior Research Scientist
출판물
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AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
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Community Economics for AI Powered Micro-Grid
September 2023
-
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
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-
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Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
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Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 제 42 권(1): pp. 69-77
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Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom '21 | October 2021
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Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
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Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
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Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
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INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
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Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Peeyush Kumar, Aravind S. Lakshminarayanan, Ramnandan Krishnamurthy, Balaraman Ravindran
May 2016
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Spectral clustering as mapping to a simplex
Peeyush Kumar, Niveditha L, Balaraman Ravindran
ICML workshop on Spectral Learning | December 2013
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-
-
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
Peeyush Kumar, Kartik Sharma
April 2025
-
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
-
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
-
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
-
-
-
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
Peeyush Kumar, Kartik Sharma
April 2025
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
-
Community Economics for AI Powered Micro-Grid
September 2023
-
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
-
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
-
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
-
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Peeyush Kumar, Aravind S. Lakshminarayanan, Ramnandan Krishnamurthy, Balaraman Ravindran
May 2016
-
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options
Peeyush Kumar, Doina Precup
August 2014
-
Spectral clustering as mapping to a simplex
Peeyush Kumar, Niveditha L, Balaraman Ravindran
ICML workshop on Spectral Learning | December 2013
-
-
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
-
Community Economics for AI Powered Micro-Grid
September 2023
-
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
-
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
-
Community Economics for AI Powered Micro-Grid
September 2023
-
-
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
-
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
-
Community Economics for AI Powered Micro-Grid
September 2023
-
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
-
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 제 42 권(1): pp. 69-77
-
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom '21 | October 2021
-
-
-
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
-
-
-
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
Peeyush Kumar, Kartik Sharma
April 2025
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 제 42 권(1): pp. 69-77
-
-
-
AI-powered Microgrids Facilitate Energy Resilience and Equity in Regional Communities
MSR-TR-2024-44 | October 2024
글쓴이 Microsoft
-
-
-
Community Economics for AI Powered Micro-Grid
September 2023
-
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
-
-
-
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom '21 | October 2021
-
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
-
Information Directed Policy Sampling for Partially Observable Markov Decision Processes with Parametric Uncertainty
Peeyush Kumar, Archis Ghate
INFORMS International Conference on Service Science | November 2018
-
Spectral clustering as mapping to a simplex
Peeyush Kumar, Niveditha L, Balaraman Ravindran
ICML workshop on Spectral Learning | December 2013
-
-
-
Near Optimal Hamiltonian-Control and Learning via Chattering
Peeyush Kumar, Wolf Kohn, Zelda B. Zabinsky
March 2017
-
INCREMENTAL ESTIMATION FOR PROBABILISTIC FORECASTER
Nanda Rekha, Shen Yanfang, Peeyush Kumar, Kohn Wolf, Placek Philip
December 2016
-
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
Peeyush Kumar, Aravind S. Lakshminarayanan, Ramnandan Krishnamurthy, Balaraman Ravindran
May 2016
-
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options
Peeyush Kumar, Doina Precup
August 2014
-