Below is an overview of events organised by the SciML community. We aim to put recordings of each event online within a week of them taking place.

Please get in touch if you’d like to come to talk to us, we’re a very diverse group in terms of applications in scientific machine learning and would to hear about your work!

Seminars

Title Speaker Date Media
Rapid Spatio-Temporal Flood Modeling - Hydraulic GNN Approach Roberto Bentivoglio (Delft University of Technology) 16/02/2023 11:00 recording
Forecasting Global Weather with Graph Neural Networks Ryan Keisler (KoBold Metals) 10/11/2023 15:00 recording
Could deep learning methods replace numerical weather models? Mariana Clare (European Centre for Medium Range Weather Forecasts) 20/10/2023 15:00 recording
Feature-Preserving Point Cloud Simplification with Gaussian Processes Thomas. M. McDonald (University of Manchester) 14/07/2023 14:00 recording
Physics-based domain adaptation for dynamical systems forecasting Zack Xuereb Conti (Alan Turing Institute) 19/05/2023 14:00 recording
ClimaX: A foundation model for weather and climate Tung Nguyen (UCLA) 17/03/2023 15:00 recording
Sea ice detection from concurrent visible and SAR imagery using a convolutional neural network Martin Rogers (British Antarctic Survey) 24/02/2023 11:00 recording
Physics-informed Machine Learning for Trustworthy Climate Emulators Björn Lütjens (MIT) 10/02/2023 14:00 recording
Explainable AI for identifying regional climate change patterns Zack Labe (Princeton) 13/01/2023 14:00 recording
Extending the capabilities of data-driven reduced-order models to make predictions for unseen scenarios Claire Heaney (Imperial College) 18/11/2022 11:00 recording

Workshops

Title Speaker Date Media
Physics-informed neural networks (PINNs) Fergus Shone (University of Leeds) 17/02/2023 14:00 recording
Reinforcement Learning Alhanof Alolyan (University of Leeds) 17/04/2023 14:00 code
SINDy Alasdair Roy (University of Leeds) 27/10/2023 14:00 recording code