Matthias Karlbauer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Partial Differential Equations

Weather Prediction

Top Venues

IEEE Trans. Cogn. Dev. Syst.

Publications

Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Yuyang Wang, Andrew Stuart, Michael W. Mahoney
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics. CoRR (2024)
Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set. IEEE Trans. Cogn. Dev. Syst. 15 (2) (2023)
Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
Physical Domain Reconstruction with Finite Volume Neural Networks. Appl. Artif. Intell. 37 (1) (2023)
Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz
Inductive biases in deep learning models for weather prediction. CoRR (2023)
Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision. ICLR (2023)
Matthias Karlbauer, Nathaniel Cresswell-Clay, Raul A. Moreno, Dale R. Durran, Thorsten Kurth, Martin V. Butz
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh. CoRR (2023)
Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz
Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR (2022)
Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML (2022)
Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte
Infering Boundary Conditions in Finite Volume Neural Networks. ICANN (1) (2022)
Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz
Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR (2021)
Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
Latent State Inference in a Spatiotemporal Generative Model. ICANN (4) (2021)
Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR (2021)
Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) (2021)
Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR (2020)
Sebastian Otte, Matthias Karlbauer, Martin V. Butz
Active Tuning. CoRR (2020)
Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
Inferring, Predicting, and Denoising Causal Wave Dynamics. ICANN (1) (2020)
Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. ESANN (2020)
Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
Hidden Latent State Inference in a Spatio-Temporal Generative Model. CoRR (2020)
Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction. CoRR (2019)