Nikhil Behari

According to our database, Nikhil Behari authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.

Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe

CoRR, 2024

2023

Predicting micronutrient deficiency with publicly available satellite data.

Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe

AI Mag., March, 2023

SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition.

Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar

CoRR, 2023

Towards Zero Shot Learning in Restless Multi-armed Bandits.

Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe

CoRR, 2023

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats.

Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DISeR: Designing Imaging Systems with Reinforcement Learning.

Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ORCa: Glossy Objects as Radiance-Field Cameras.

Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability.

Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Micronutrient Deficiency Prediction via Publicly Available Satellite Data.

Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Using Public Data to Predict Demand for Mobile Health Clinics.

Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022