publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. A deep learning earth system model for stable and efficient simulation of the current climate
    Nathaniel Cresswell-Clay, Bowen Liu, Dale Durran, and 4 more authors
    arXiv preprint arXiv:2409.16247, 2024
  2. Advancing parsimonious deep learning weather prediction using the HEALPix mesh
    Matthias Karlbauer, Nathaniel Cresswell-Clay, Dale R Durran, and 5 more authors
    Journal of Advances in Modeling Earth Systems, 2024
  3. Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
    Matthias Karlbauer, Danielle C Maddix, Abdul Fatir Ansari, and 5 more authors
    arXiv preprint arXiv:2407.14129, 2024

2023

  1. Physical domain reconstruction with finite volume neural networks
    Coşku Can Horuz, Matthias Karlbauer, Timothy Praditia, and 4 more authors
    Applied Artificial Intelligence, 2023
  2. Inductive biases in deep learning models for weather prediction
    Jannik Thuemmel, Matthias Karlbauer, Sebastian Otte, and 8 more authors
    arXiv preprint arXiv:2304.04664, 2023
  3. Estimation of the surface fluxes for heat and momentum in unstable conditions with machine learning and similarity approaches for the LAFE data set
    Volker Wulfmeyer, Juan Manuel Valencia Pineda, Sebastian Otte, and 4 more authors
    Boundary-Layer Meteorology, 2023

2022

  1. Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set
    Sarah Fabi, Sebastian Otte, Fedor Scholz, and 3 more authors
    IEEE Transactions on Cognitive and Developmental Systems, 2022
  2. Infering boundary conditions in finite volume neural networks
    Coşku Can Horuz, Matthias Karlbauer, Timothy Praditia, and 4 more authors
    In International Conference on Artificial Neural Networks, 2022
  3. Composing partial differential equations with physics-aware neural networks
    Matthias Karlbauer, Timothy Praditia, Sebastian Otte, and 3 more authors
    In International Conference on Machine Learning, 2022
  4. Learning what and where: Disentangling location and identity tracking without supervision
    Manuel Traub, Sebastian Otte, Tobias Menge, and 3 more authors
    arXiv preprint arXiv:2205.13349, 2022

2021

  1. Signal denoising with recurrent spiking neural networks and active tuning
    Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, and 2 more authors
    In International Conference on Artificial Neural Networks, 2021
  2. Latent state inference in a spatiotemporal generative model
    Matthias Karlbauer, Tobias Menge, Sebastian Otte, and 4 more authors
    In International Conference on Artificial Neural Networks, 2021

2020

  1. Inferring, predicting, and denoising causal wave dynamics
    Matthias Karlbauer, Sebastian Otte, Hendrik PA Lensch, and 3 more authors
    In Artificial Neural Networks and Machine Learning–ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I 29, 2020
  2. Active tuning
    Sebastian Otte, Matthias Karlbauer, and Martin V Butz
    arXiv preprint arXiv:2010.03958, 2020

2019

  1. A distributed neural network architecture for robust non-linear spatio-temporal prediction
    Matthias Karlbauer, Sebastian Otte, Hendrik Lensch, and 3 more authors
    arXiv preprint arXiv:1912.11141, 2019

2018

  1. On the time-course of automatic response activation in the Simon task
    Ruben Ellinghaus, Matthias Karlbauer, Karin M Bausenhart, and 1 more author
    Psychological Research, 2018