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ORCIDNikhil Behari
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2020 – today
- 2024
[j2]Prasoon Patidar
, Tricia Ngoon, Neeharika Vogety, Nikhil Behari, Chris Harrison, John Zimmerman, Amy Ogan, Yuvraj Agarwal:
Edulyze: Learning Analytics for Real-World Classrooms at Scale. J. Learn. Anal. 11(2): 297-313 (2024)- [c9]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS 2024: 2618-2620 - [c8]Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar:
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. CVPR Workshops 2024: 522-532 - [c7]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. IJCAI 2024: 321-329 - [i6]Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe:
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. CoRR abs/2402.14807 (2024) - [i5]Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe:
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. CoRR abs/2409.18104 (2024) - 2023
- [j1]Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Predicting micronutrient deficiency with publicly available satellite data. AI Mag. 44(1): 30-40 (2023) - [c6]Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar:
ORCa: Glossy Objects as Radiance-Field Cameras. CVPR 2023: 20773-20782 - [c5]Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar:
DISeR: Designing Imaging Systems with Reinforcement Learning. ICCV 2023: 23575-23585 - [c4]Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe:
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. IJCAI 2023: 5977-5985 - [i4]Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar:
DISeR: Designing Imaging Systems with Reinforcement Learning. CoRR abs/2309.13851 (2023) - [i3]Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe:
Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR abs/2310.14526 (2023) - [i2]Nikhil Behari, Akshat Dave, Kushagra Tiwary, William Yang, Ramesh Raskar:
SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition. CoRR abs/2312.16215 (2023) - 2022
- [c3]Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Micronutrient Deficiency Prediction via Publicly Available Satellite Data. AAAI 2022: 12454-12460 - [c2]Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe:
Using Public Data to Predict Demand for Mobile Health Clinics. AAAI 2022: 12461-12467 - [c1]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi:
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. KDD 2022: 4872-4873 - [i1]Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar:
ORCa: Glossy Objects as Radiance Field Cameras. CoRR abs/2212.04531 (2022)
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