On monitoring development using high resolution satellite images. - Potnuru Kishen Suraj; Ankesh Gupta; Makkunda Sharma; Sourabh Bikash Paul; Subhashis Banerjee (CoRR, 2017)

Using Image Captions and Multitask Learning for Recommending Query Reformulations. - Gaurav Verma; Vishwa Vinay; Sahil Bansal; Shashank Oberoi; Makkunda Sharma; Prakhar Gupta (ECIR (1), 2020)

Impact of data-splits on generalization: Identifying COVID-19 from cough and context. - Makkunda Sharma; Nikhil Shenoy; Jigar Doshi; Piyush Bagad; Aman Dalmia; Parag Bhamare; Amrita Mahale; Saurabh Rane; Neeraj Agrawal; Rahul Panicker (CoRR, 2021)

Using satellites and artificial intelligence to measure health and material-living standards in India. - Adel Daoud; Felipe Jordan; Makkunda Sharma; Fredrik D. Johansson; Devdatt P. Dubhashi; Sourabh Bikash Paul; Subhashis Banerjee (CoRR, 2022)

A Case for Rejection in Low Resource ML Deployment. - Jerome White; Pulkit Madaan; Nikhil Shenoy; Apoorv Agnihotri; Makkunda Sharma; Jigar Doshi (CoRR, 2022)

BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India. - Jerome White; Chandan Agrawal; Anmol Ojha; Apoorv Agnihotri; Makkunda Sharma; Jigar Doshi (CoRR, 2023)

KidSat: satellite imagery to map childhood poverty dataset and benchmark. - Makkunda Sharma; Fan Yang; Duy-Nhat Vo; Esra Suel; Swapnil Mishra; Samir Bhatt; Oliver Fiala; William Rudgard; Seth R. Flaxman (CoRR, 2024)

Transformer Neural Processes - Kernel Regression. - Daniel Jenson; Jhonathan Navott; Mengyan Zhang; Makkunda Sharma; Elizaveta Semenova; Seth R. Flaxman (CoRR, 2024)

Scalable Spatiotemporal Inference with Biased Scan Attention Transformer Neural Processes. - Daniel Jenson; Jhonathan Navott; Piotr Grynfelder; Mengyan Zhang; Makkunda Sharma; Elizaveta Semenova; Seth R. Flaxman (CoRR, 2025)