PUBLICATIONS
EARTH OBSERVATION
2025
SHRUG-FM:Reliability-Aware Foundation Models for Earth Observation - Neurips 2025, arXiv
Towards Methane Detection Onboard Satellites - Neurips 2025, arXiv
Global 3D Reconstruction of Clouds & Tropical Cyclones - Neurips 2025, arXiv
2024
3D Cloud reconstruction through geospatially-aware Masked Autoencoders - arXiv
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation - arXiv
Tomographic SAR Reconstruction for Forest Height Estimation - arXiv
Tree Species Classification using Machine Learning and 3D Tomographic SAR - a case study in Northern Europe - AGU 2024, arXiv
Rapid Adaptation of Earth Observation Foundation Models for Segmentation - arXiv
Uncertainty and Generalizability in Foundation Models for Earth Observation - arXiv
Remote Sensing Segmentation with Foundation Models (on a Budget) - AGU 2024
Enhancing Satellite Data Interpretation through Soft Prompting in Embedding Space with Pre-trained Large Language Model - AGU 2024
Multi-Sensor Predictions of 3D Cloud Profiles using Machine Learning - AGU 2024
Early warning for Solar Eruptions with VIGIL 2.0 - ESWW 2024
2023
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data - Neurips, arXiv - (FDL Europe 2023)
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM - Neurips 2023, arXiv
Fewshot learning on global multimodal embeddings for earth observation tasks - Neurips 2023, arXiv
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data - Neurips 2023, arXiv
Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction - Neurips 2023, arXiv
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery - Neurips 2023, arXiv
Self-supervised learning for SAR; benchmarking datasets and performance on diverse downstream tasks - AGU 2023
AI onboard for near real-time CME detection - ESWW 2023
2022
Multi-spectral multi-image super-resolution of Sentinel-2 with radiometric consistency losses and its effect on building delineation - ISPRS Journal of Photogrammetry and Remote Sensing (November 2022)
Identifying causes of Pyrocumulonimbus (PyroCb) - Neurips 2022/ DOI
Pyrocast: A Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) clouds - Neurips 2022/ DOI
2021
HyperspectralViTs: General Hyperspectral Models for On-board Remote Sensing - Vít Růžička’s Phd extending the work of STARCOP with Oxford’s Andrew Markham.(FDL Europe 2021)
AI for the Developing World, Self-supervised Learning Theory & Practice - NeurIPS 2021 (FDL Europe 2021)
2019
Cumulo: A Dataset for Learning Cloud Classes - JPL NASA Abstract (FDL Europe 2019)
The Link of Tropical Convection and Low Cloud Cover- NeurIPS (FDL Europe 2019)
Classifying without Supervision but with Distributional Constraints- NeurIPS - (FDL Europe 2019)
Cumulo: A Dataset for Learning Cloud Classes - NeurIPS (FDL Europe 2019) Received best paper award review here
Flood Detection on low cost orbital Software - NeurIPS (FDL Europe 2019)
2018
Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery- NeurIPS & AAAI (FDL Europe 2018)
Rapid Computer Vision-Aided Disaster Response via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery - NeurIPS (FDL Europe 2018)
UNICEF-ESA-FDL - AI to automate disaster impact assessment - Concept Note - UNICEF (FDL Europe 2018)
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data - NeurIPS & AAAI (FDL Europe 2018)
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data - AAAI/ACM Conference (FDL Europe 2018)
Generating Material Maps to Map Informal Settlements- NeurIPS & AAAI arXiv (FDL Europe 2018)
Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data- NeurIPS & AAAI arXiv - (FDL Europe 2018)
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data- AIES 19 (FDL Europe 2018)
MISSION OPERATIONS
2020
Spacecraft Collision Risk Assessment with Probabilistic Programming- Neurips 2020 - AI for Earth Science (FDL Europe - 2020)
Towards Automated Satellite Conjunction Management with Bayesian Deep Learning - Neurips 2020 - ML4PhysicalSciences (FDL Europe 2020)
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery - AAAI 2020, top-5 conference in CS (FDL Europe 2020)
Towards Data-Driven Physics-Informed Global Precipitation Forecasting from Satellite Imagery - Neurips 2020 - Tackling Climate Change with Machine Learning (FDL Europe 2020)
RainBench: Enabling Data-Driven Precipitation Forecasting on a Global Scale - Neurips 2020 - Tackling Climate Change with Machine Learning (FDL Europe 2020)
Tracking Marine Boundary Layer Cloud Transitions Using Machine Learning - AGU 2020 (FDL Europe 2020)
2019
FDL: Mission Support Challenge - NeurIPS - (FDL Europe 2019)
Learning from History: Scoring & Automating Spacecraft Constellation Schedules - SpaceOps (FDL Europe 2019)
ML onboard
2021
Smart satellites: machine learning on-board for low-latency ‘hot-spots’ detection - AGU 2021 (FDL Europe 2021)
Smart satellites: machine learning on-board for low-latency novelty detection - AGU 2021 (FDL Europe 2021)
Unsupervised change detection of extreme events using ML on-board- HADR.ai NeurIPS (FDL Europe 2021)
