Adiga, Abhijin

20 publications

AAAI 2025 A Unifying Information-Theoretic Perspective on Evaluating Generative Models Alexis Fox, Samarth Swarup, Abhijin Adiga
IJCAI 2025 IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-Constrained Semantic Segmentation Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga, Siddharth Chaudhary, Madhav V. Marathe, S. S. Ravi, Kirti Rajagopalan, Amanda Wilson, Samarth Swarup
NeurIPS 2025 IRRISIGHT: A Large-Scale Multimodal Dataset and Scalable Pipeline to Address Irrigation and Water Management in Agriculture Nibir Chandra Mandal, Oishee Bintey Hoque, Mandy L Wilson, Samarth Swarup, Sayjro K Nouwakpo, Abhijin Adiga, Madhav Marathe
IJCAI 2025 Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga, Samarth Swarup, Sayjro Kossi Nouwakpo, Amanda Wilson, Madhav V. Marathe
ICML 2024 Efficient PAC Learnability of Dynamical Systems over Multilayer Networks Zirou Qiu, Abhijin Adiga, Madhav Marathe, S. S. Ravi, Daniel Rosenkrantz, Richard Stearns, Anil Kumar Vullikanti
CVPRW 2024 IrrNet: Advancing Irrigation Mapping with Incremental Patch Size Training on Remote Sensing Imagery Oishee Bintey Hoque, Samarth Swarup, Abhijin Adiga, Sayjro Kossi Nouwakpo, Madhav V. Marathe
AAAI 2024 Learning the Topology and Behavior of Discrete Dynamical Systems Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
AAAI 2023 Reconstructing an Epidemic Outbreak Using Steiner Connectivity Ritwick Mishra, Jack Heavey, Gursharn Kaur, Abhijin Adiga, Anil Vullikanti
AAAI 2023 Resource Sharing Through Multi-Round Matchings Yohai Trabelsi, Abhijin Adiga, Sarit Kraus, S. S. Ravi, Daniel J. Rosenkrantz
ICML 2022 Efficiently Learning the Topology and Behavior of a Networked Dynamical System via Active Queries Daniel J Rosenkrantz, Abhijin Adiga, Madhav Marathe, Zirou Qiu, S S Ravi, Richard Stearns, Anil Vullikanti
JMLR 2022 Using Active Queries to Infer Symmetric Node Functions of Graph Dynamical Systems Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns
IJCAI 2020 Boolean Games: Inferring Agents' Goals Using Taxation Queries Abhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi
AAAI 2020 Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti
ICML 2019 PAC Learnability of Node Functions in Networked Dynamical Systems Abhijin Adiga, Chris J Kuhlman, Madhav Marathe, S Ravi, Anil Vullikanti
AAAI 2018 Learning the Behavior of a Dynamical System via a "20 Questions" Approach Abhijin Adiga, Chris J. Kuhlman, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns
AAAI 2016 Temporal Vaccination Games Under Resource Constraints Abhijin Adiga, Anil Vullikanti
AAAI 2014 Equilibria in Epidemic Containment Games Sudip Saha, Abhijin Adiga, Anil Kumar S. Vullikanti
JAIR 2014 Sensitivity of Diffusion Dynamics to Network Uncertainty Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Vullikanti
ECML-PKDD 2013 How Robust Is the Core of a Network? Abhijin Adiga, Anil Kumar S. Vullikanti
AAAI 2013 Sensitivity of Diffusion Dynamics to Network Uncertainty Abhijin Adiga, Chris J. Kuhlman, Henning S. Mortveit, Anil Kumar S. Vullikanti