Nikhil Behari

According to our database1, Nikhil Behari authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Edulyze: Learning Analytics for Real-World Classrooms at Scale.
J. Learn. Anal., 2024

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.
CoRR, 2024

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SUNDIAL: 3D Satellite Understanding through Direct, Ambient, and Complex Lighting Decomposition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Zero Shot Learning in Restless Multi-armed Bandits.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Predicting micronutrient deficiency with publicly available satellite data.
AI Mag., March, 2023

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DISeR: Designing Imaging Systems with Reinforcement Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ORCa: Glossy Objects as Radiance-Field Cameras.
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.
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.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Using Public Data to Predict Demand for Mobile Health Clinics.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


  Loading...