Portrait de David Mickisch

David Mickisch

Collaborateur·rice de recherche
Superviseur⋅e principal⋅e
David Rolnick
Sujets de recherche
Causalité
Durabilité
Inférence bayésienne
Optimisation
Site web
Google Scholar
GitHub

Publications

A Joint Space-Time Encoder for Geographic Time-Series Data
David Mickisch
Konstantin Klemmer
Mélisande Teng
David Rolnick
Many real-world processes are characterized by complex spatio-temporal dependencies, from climate dynamics to disease spread. Here, we intro… (voir plus)duce a new neural network architecture to model such dynamics at scale: the \emph{Space-Time Encoder}. Building on recent advances in \emph{location encoders}, models that take as inputs geographic coordinates, we develop a method that takes in geographic and temporal information simultaneously and learns smooth, continuous functions in both space and time. The inputs are first transformed using positional encoding functions and then fed into neural networks that allow the learning of complex functions. We implement a prototype of the \emph{Space-Time Encoder}, discuss the design choices of the novel temporal encoding, and demonstrate its utility in climate model emulation. We discuss the potential of the method across use cases, as well as promising avenues for further methodological innovation.
2025-03-06
ICLR.cc/2025/Workshop/MLMP (poster)
openreview.net
openreview.net