Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics.

A Generalization of Continuous Relaxation in Structured Pruning.

AI-Enhanced Data Processing and Discovery Crowd Sourcing for Meteor Shower Mapping.

Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning.

Deep learning based landslide density estimation on SAR data for rapid response.

SAR-based landslide classification pretraining leads to better segmentation.

Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes.

Global geomagnetic perturbation forecasting using Deep Learning.

Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing.

CELESTIAL: Classification Enabled via Labelless Embeddings with Self-supervised Telescope Image Analysis Learning.

Scalable Reverse Image Search Engine for NASAWorldview.

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning.

Scalable Data Balancing for Unlabeled Satellite Imagery.

Reducing Effects of Swath Gaps on Unsupervised Machine Learning Models for NASA MODIS Instruments.

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft.

Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition.

Technology Readiness Levels for Machine Learning Systems.

Space ML: Distributed Open-source Research with Citizen Scientists for the Advancement of Space Technology for NASA.

Learnings from Frontier Development Lab and SpaceML - AI Accelerators for NASA and ESA.