ML4Earth

Upcoming Meetings

All meetings are usually scheduled on Wednesdays at 13:00 CEST.

• January 13, 2021
  - Speaker: Arnaud Pannatier
  - Title: Machine Learning for High-Altitude Wind Nowcasting Based on Aircraft Live Data

Past Meetings

• December 16, 2020
  - Speaker: Wentao Feng & Yann Yasser Haddad
  - Title: Probabilistic Deep Learning on Spheres for Weather/Climate Applications

• September 29, 2020
  - Speaker: Loris Foresti & Daniele Nerini (MeteoSwiss)
  - Title: Probabilistic machine learning for nowcasting & post-processing

• September 16, 2020
  - Speaker: Gabriele Franch (FBK)
  - Title: UMAP for Weather Analogs Retrieval

• July 22, 2020
  - Speaker: Peter Düben (ECMWF)
  - Title: What next for machine learning in weather forecasting?

• July 15, 2020
  - Speaker: Verena Bessenbacher (ETHZ)
  - Title: Towards a generalized framework for gap-filling complex Earth Observations

• July 1, 2020
  - Speaker: Icíar Lloréns Jover (EPFL)
  - Title: Geometric deep learning on the sphere for mid-range weather prediction

• June 17, 2020
  - Speaker: Lukas Gudmundsson (ETHZ) & Gionata Ghiggi (EPFL)
  - Title: Constraining and reconstructing past land-surface freshwater fluxes with ML

• June 3, 2020
  - Speaker: Shruti Nath (Climate Analytics)
  - Title: An Earth System Model seasonal emulator

• May 6, 2020
  - Speaker: Icíar Lloréns Jover (EPFL)
  - Title: Geometric deep learning for mid-range weather prediction

• April 15 & 22, 2020
  - Speaker: Eniko Székely (SDSC)
  - Title: Data-driven kernel methods for dynamical systems with application to atmosphere ocean science

• February 6 & 19, 2020
  - Speaker: Jussi Leinonen (EPFL)
  - Title: Generative Adversarial Networks for Climate Data Field Generation

• December 17, 2019 & January 23, 2020
  - Speaker: Michaël Defferrard (EPFL)
  - Title: DeepSphere and the Earth (a graph-based spherical CNN)

• November 20, 2019 & December 4, 2019
  - Speaker: Gionata Ghiggi (EPFL)
  - Title: Deep Learning: Applications for Climate & Earth Sciences