FDL @ NeurIPS WORKSHOPS

Third Workshop on AI for Humanitarian Assistance and Disaster Response (HADR.ai)

External site

• FDL Europe Extreme Event 'Hot Spots' using ML onboard | Unsupervised Change Detection of Extreme Events Using ML On-Board

FDL partner talks

• Retrospectives on the Deployment of a Flood Segmentation Deep Learning Model Into a Near-Real-Time Monitoring Service (Retrospective), Edoardo Nemni (UNOSAT)

• Jonathan Stock - Director, United State Geological Survey Innovation Center (Invited Talk)

AI for Science: Mind the Gap

External site

FDL partner talks

• Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning (poster) (Siddha Ganju · Sayak Paul)

Machine Learning and the Physical Sciences

External site

• FDL US Digital Twin Earth - Coasts - Developing a fast and physics-informed surrogate model for coastal floods via neural operators (paper PDF) (poster)

• FDL US Uncovering the origin of the Solar Wind: - Deep-SWIM: A few-shot learning approach to classify Solar WInd Magnetic field structures

• FDL US Solar Drag. Simultaneous Multivariate Forecast of Space Weather Indices using Deep Neural Network Ensembles [paper pdf] [poster]

• FDL US Solar Drag. Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging [paper pdf] [poster]

• FDL US Lightning: - Detecting Spatiotemporal Lightning Patterns: An Unsupervised Graph-Based Approach [paper pdf] [poster] 

• FDL US Upscaling Lunar Resources: Single Image Super-Resolution with Uncertainty Estimation for Lunar Satellite Images [paper pdf] [poster]

FDL partner talks

• Invited talk: Megan Ansdell, "NASA's efforts & opportunities to support ML in the Physical Sciences" & Q&A (Invited talk (live)), Megan Ansdell · Atilim Gunes Baydin

• Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning, [paper pdf] [poster] Siddha Ganju · Sayak Paul

Tackling Climate Change with Machine Learning

External website

FDL partner talks

• Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning (Siddha Ganju (Nvidia Corporation) [paper pdf] [slides]

• Memory to Map: Improving Radar Flood Maps With Temporal Context and Semantic Segmentation (Siddha Ganju (Nvidia Corporation) [paper pdf] [slides]

Bayesian Deep Learning

External site

• FDL US Solar Drag - Social and Posters, Dropout and Ensemble Networks for Thermospheric Density Uncertainty Estimation [paper pdf]

WiML 2021

External site

• Machine Learning API in NASA’s WorldView Satellite Image Search System, Kai E Priester*; Daniela Fragoso [poster]

Please note you can only access the direct links to the NeurIPS conference if you have registered. Otherwise, please use the external site links above.