What's in a Question: Using Visual Questions as a Form of Supervision. - Siddha Ganju; Olga Russakovsky; Abhinav Gupta 001 (CVPR, 2017)

Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA. - Siddha Ganju; Anirudh Koul; Alexander Lavin; Josh Veitch-Michaelis; Meher Kasam; James Parr (CoRR, 2020)

Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA. - Anirudh Koul; Siddha Ganju; Meher Kasam; James Parr (CoRR, 2020)

Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. - James Herman; Jonathan Francis; Siddha Ganju; Bingqing Chen; Anirudh Koul; Abhinav Gupta 001; Alexey Skabelkin; Ivan Zhukov; Max Kumskoy; Eric Nyberg (ICCV, 2021)

Technology Readiness Levels for Machine Learning Systems. - Alexander Lavin; Ciarán M. Gilligan-Lee; Alessya Visnjic; Siddha Ganju; Dava J. Newman; Sujoy Ganguly; Danny Lange; Atilim Günes Baydin; Amit Sharma 007; Adam Gibson; Yarin Gal; Eric P. Xing; et al. (CoRR, 2021)

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition. - Panagiotis Tigas; Téo Bloch; Vishal Upendran; Banafsheh Ferdoushi; Mark C. M. Cheung; Siddha Ganju; Ryan M. McGranaghan; Yarin Gal; Asti Bhatt (CoRR, 2021)

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. - Athanasios Vlontzos; Gabriel Sutherland; Siddha Ganju; Frank Soboczenski (CoRR, 2021)

Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments. - Sarah Chen; Esther Cao; Anirudh Koul; Siddha Ganju; Satyarth Praveen; Meher Anand Kasam (CoRR, 2021)

Scalable Data Balancing for Unlabeled Satellite Imagery. - Deep Patel; Erin Gao; Anirudh Koul; Siddha Ganju; Meher Anand Kasam (CoRR, 2021)

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning. - Sayak Paul; Siddha Ganju (CoRR, 2021)

Scalable Reverse Image Search Engine for NASAWorldview. - Abhigya Sodani; Michael Levy; Anirudh Koul; Meher Anand Kasam; Siddha Ganju (CoRR, 2021)

CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning. - Suhas Kotha; Anirudh Koul; Siddha Ganju; Meher Kasam (CoRR, 2022)

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing. - Jonathan Francis; Bingqing Chen; Siddha Ganju; Sidharth Kathpal; Jyotish Poonganam; Ayush Shivani; Vrushank Vyas; Sahika Genc; Ivan Zhukov; Max Kumskoy; Anirudh Koul; Jean Oh; et al. (CoRR, 2022)

Global geomagnetic perturbation forecasting using Deep Learning. - Vishal Upendran; Panagiotis Tigas; Banafsheh Ferdousi; Téo Bloch; Mark C. M. Cheung; Siddha Ganju; Asti Bhatt; Ryan M. McGranaghan; Yarin Gal (CoRR, 2022)

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes. - Vanessa Böhm; Wei Ji Leong; Ragini Bal Mahesh; Ioannis Prapas; Edoardo Nemni; Freddie Kalaitzis; Siddha Ganju; Raúl Ramos-Pollán (CoRR, 2022)

SAR-based landslide classification pretraining leads to better segmentation. - Vanessa Böhm; Wei Ji Leong; Ragini Bal Mahesh; Ioannis Prapas; Edoardo Nemni; Freddie Kalaitzis; Siddha Ganju; Raúl Ramos-Pollán (CoRR, 2022)

Deep learning based landslide density estimation on SAR data for rapid response. - Vanessa Boehm; Wei Ji Leong; Ragini Bal Mahesh; Ioannis Prapas; Edoardo Nemni; Freddie Kalaitzis; Siddha Ganju; Raúl Ramos-Pollán (CoRR, 2022)

Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning. - Tarun Narayanan; Ajay Krishnan; Anirudh Koul; Siddha Ganju (CoRR, 2022)

AI-Enhanced Data Processing and Discovery Crowd Sourcing for Meteor Shower Mapping. - Siddha Ganju; Amartya Hatua; Peter Jenniskens; Sahyadri Krishna; Chicheng Ren; Surya Ambardar (CoRR, 2023)

A Generalization of Continuous Relaxation in Structured Pruning. - Brad Larson; Bishal Upadhyaya; Luke McDermott; Siddha Ganju (CoRR, 2023)

Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. - Jose Ignacio Delgado-Centeno; Paula Harder; Valentin Tertius Bickel; Ben Moseley; Freddie Kalaitzis; Siddha Ganju; Miguel A. Olivares-Méndez (IEEE Robotics Autom. Mag., 2024)