Modeling Dynamic Scenes Recorded with Freely Moving Cameras. - Aparna Taneja; Luca Ballan; Marc Pollefeys (ACCV (3), 2010)

3D Reconstruction and Video-Based Rendering of Casually Captured Videos. - Aparna Taneja; Luca Ballan; Jens Puwein; Gabriel J. Brostow; Marc Pollefeys (Video Processing and Computational Video, 2010)

Image based detection of geometric changes in urban environments. - Aparna Taneja; Luca Ballan; Marc Pollefeys (ICCV, 2011)

Registration of Spherical Panoramic Images with Cadastral 3D Models. - Aparna Taneja; Luca Ballan; Marc Pollefeys (3DIMPVT, 2012)

Motion Capture of Hands in Action Using Discriminative Salient Points. - Luca Ballan; Aparna Taneja; Jürgen Gall; Luc Van Gool; Marc Pollefeys (ECCV (6), 2012)

City-Scale Change Detection in Cadastral 3D Models Using Images. - Aparna Taneja; Luca Ballan; Marc Pollefeys (CVPR, 2013)

Never Get Lost Again: Vision Based Navigation Using StreetView Images. - Aparna Taneja; Luca Ballan; Marc Pollefeys (ACCV (5), 2014)

Geometric Change Detection and Image Registration in Large Scale Urban Environments. - Aparna Taneja (2014)

Geometric Change Detection in Urban Environments Using Images. - Aparna Taneja; Luca Ballan; Marc Pollefeys (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Underwater 3D capture using a low-cost commercial depth camera. - Sundara Tejaswi Digumarti; Gaurav Chaurasia; Aparna Taneja; Roland Siegwart; Amber Thomas; Paul A. Beardsley (WACV, 2016)

Facilitating Human-Wildlife Cohabitation through Conflict Prediction. - Susobhan Ghosh; Pradeep Varakantham; Aniket Bhatkhande; Tamanna Ahmad; Anish Andheria; Wenjun Li; Aparna Taneja; Divy Thakkar; Milind Tambe (AAAI, 2022)

Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. - Aditya Mate; Lovish Madaan; Aparna Taneja; Neha Madhiwalla; Shresth Verma; Gargi Singh; Aparna Hegde; Pradeep Varakantham; Milind Tambe (AAAI, 2022)

ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria. - Vineet Nair; Kritika Prakash; Michael Wilbur; Aparna Taneja; Corinne Namblard; Oyindamola Adeyemo; Abhishek Dubey; Abiodun Adereni; Milind Tambe; Ayan Mukhopadhyay (IJCAI, 2022)

Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (CoRR, 2022)

Optimistic Whittle Index Policy: Online Learning for Restless Bandits. - Kai Wang 040; Lily Xu; Aparna Taneja; Milind Tambe (AAAI, 2023)

Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation. - Paula Rodriguez Diaz; Jackson A. Killian; Lily Xu; Arun Sai Suggala; Aparna Taneja; Milind Tambe (AAAI, 2023)

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. - Jackson A. Killian; Arpita Biswas; Lily Xu; Shresth Verma; Vineet Nair; Aparna Taneja; Aparna Hegde; Neha Madhiwalla; Paula Rodriguez Diaz; Sonja Johnson-Yu; Milind Tambe (AAAI, 2023)

Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care. - Shresth Verma; Gargi Singh; Aditya Mate; Paritosh Verma; Sruthi Gorantla; Neha Madhiwalla; Aparna Hegde; Divy Thakkar; Manish Jain; Milind Tambe; Aparna Taneja (AAAI, 2023)

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health. - Kai Wang 040; Shresth Verma; Aditya Mate; Sanket Shah; Aparna Taneja; Neha Madhiwalla; Aparna Hegde; Milind Tambe (AAAI, 2023)

Modeling Robustness in Decision-Focused Learning as a Stackelberg Game. - Sonja Johnson-Yu; Kai Wang 040; Jessie Finocchiaro; Aparna Taneja; Milind Tambe (AAMAS, 2023)

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. - Shresth Verma; Aditya Mate; Kai Wang 040; Neha Madhiwalla; Aparna Hegde; Aparna Taneja; Milind Tambe (AAMAS, 2023)

Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks. - Sonja Johnson-Yu; Jessie Finocchiaro; Kai Wang 040; Yevgeniy Vorobeychik; Arunesh Sinha; Aparna Taneja; Milind Tambe (GameSec, 2023)

Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation. - Aditya Mate; Bryan Wilder; Aparna Taneja; Milind Tambe (ICML, 2023)

Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare. - Panayiotis Danassis; Shresth Verma; Jackson A. Killian; Aparna Taneja; Milind Tambe (IJCAI, 2023)

KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). - Amulya Yadav; Aparna Taneja; Ayan Mukhopadhyay; Serina Chang (KDD, 2023)

Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits. - Paritosh Verma; Shresth Verma; Aditya Mate; Aparna Taneja; Milind Tambe (CoRR, 2023)

Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation. - Arshika Lalan; Shresth Verma; Kumar Madhu Sudan; Amrita Mahale; Aparna Hegde; Milind Tambe; Aparna Taneja (CoRR, 2023)

Expanding impact of mobile health programs: SAHELI for maternal and child care. - Shresth Verma; Gargi Singh; Aditya Mate; Paritosh Verma; Sruthi Gorantla; Neha Madhiwalla; Aparna Hegde; Divy Thakkar; Manish Jain; Milind Tambe; Aparna Taneja (AI Mag., 2023)

Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms. - Arshika Lalan; Shresth Verma; Paula Rodriguez Diaz; Panayiotis Danassis; Amrita Mahale; Kumar Madhu Sudan; Aparna Hegde; Milind Tambe; Aparna Taneja (AAAI, 2024)

Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection. - Soumyabrata Pal; Milind Tambe; Arun Sai Suggala; Karthikeyan Shanmugam; Aparna Taneja (AAMAS, 2024)

Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning. - Sanket Shah; Arun Sai Suggala; Milind Tambe; Aparna Taneja (AAMAS, 2024)

Towards Zero Shot Learning in Restless Multi-armed Bandits. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (AAMAS, 2024)

Towards Fairness constrained Restless Multi-Armed Bandits: a Case Study of Maternal and child Care Domain. - Gargi Singh; Milind Tambe; Aparna Taneja (Tiny Papers @ ICLR, 2024)

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (IJCAI, 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 (NeurIPS, 2024)

IRL for Restless Multi-armed Bandits with Applications in Maternal and Child Health. - Gauri Jain; Pradeep Varakantham; Haifeng Xu; Aparna Taneja; Prashant Doshi; Milind Tambe (PRICAI (5), 2024)

Group Fairness in Predict-Then-Optimize Settings for Restless Bandits. - Shresth Verma; Yunfan Zhao; Sanket Shah; Niclas Boehmer; Aparna Taneja; Milind Tambe (UAI, 2024)

Leveraging AI to improve health information access in the World's largest maternal mobile health program. - Shresth Verma; Arshika Lalan; Paula Rodriguez Diaz; Panayiotis Danassis; Amrita Mahale; Kumar Madhu Sudan; Aparna Hegde; Milind Tambe; Aparna Taneja (AI Mag., 2024)

A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health. - Biyonka Liang; Lily Xu; Aparna Taneja; Milind Tambe; Lucas Janson (CoRR, 2024)

Evaluating the Effectiveness of Index-Based Treatment Allocation. - Niclas Boehmer; Yash Nair; Sanket Shah; Lucas Janson; Aparna Taneja; Milind Tambe (CoRR, 2024)

Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs. - Arpan Dasgupta; Niclas Boehmer; Neha Madhiwalla; Aparna Hedge; Bryan Wilder; Milind Tambe; Aparna Taneja (CoRR, 2024)

Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program. - Arpan Dasgupta; Gagan Jain; Arun Sai Suggala; Karthikeyan Shanmugam; Milind Tambe; Aparna Taneja (CoRR, 2024)

Evaluating Index-based Treatment Allocation in Underresourced Communities. - Niclas Boehmer; Yash Nair; Sanket Shah; Lucas Janson; Aparna Taneja; Milind Tambe (AAAI, 2025)

Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits. - Biyonka Liang; Lily Xu; Aparna Taneja; Milind Tambe; Lucas Janson (AAAI, 2025)

The Bandit Whisperer: Communication Learning for Restless Bandits. - Yunfan Zhao; Tonghan Wang 001; Dheeraj Mysore Nagaraj; Aparna Taneja; Milind Tambe (AAAI, 2025)

Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health. - Arpan Dasgupta; Gagan Jain; Arun Sai Suggala; Karthikeyan Shanmugam; Milind Tambe; Aparna Taneja (AAMAS, 2025)

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact. - Yunfan Zhao; Niclas Boehmer; Aparna Taneja; Milind Tambe (AAMAS, 2025)

Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness. - Ambreesh Parthasarathy; Chandrasekar Subramanian; Ganesh Senrayan; Shreyash Adappanavar; Aparna Taneja; Balaraman Ravindran; Milind Tambe (CoRR, 2025)

LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation. - Sarah Martinson; Lingkai Kong; Cheol Woo Kim; Aparna Taneja; Milind Tambe (CoRR, 2025)

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health. - Arpan Dasgupta; Mizhaan Maniyar; Awadhesh Srivastava; Sanat Kumar; Amrita Mahale; Aparna Hedge; Arun Sai Suggala; Karthikeyan Shanmugam; Aparna Taneja; Milind Tambe (CoRR, 2025)

Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours. - Arpan Dasgupta; Sarvesh Gharat; Neha Madhiwalla; Aparna Hegde; Milind Tambe; Aparna Taneja (CoRR, 2025)