Matthias Karlbauer

According to our database, Matthias Karlbauer authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Physical Domain Reconstruction with Finite Volume Neural Networks.

Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte

Appl. Artif. Intell., December, 2023

Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set.

Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz

IEEE Trans. Cogn. Dev. Syst., 2023

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh.

Matthias Karlbauer, Nathaniel Cresswell-Clay, Raul A. Moreno, Dale R. Durran, Thorsten Kurth, Martin V. Butz

CoRR, 2023

Inductive biases in deep learning models for weather prediction.

Jannik Thümmel, Matthias Karlbauer, Sebastian Otte, Christiane Zarfl, Georg Martius, Nicole Ludwig, Thomas Scholten, Ulrich Friedrich, Volker Wulfmeyer, Bedartha Goswami, Martin V. Butz

CoRR, 2023

Learning What and Where: Disentangling Location and Identity Tracking Without Supervision.

Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network.

Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak

Dataset, November, 2022

Learning What and Where - Unsupervised Disentangling Location and Identity Tracking.

Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz

CoRR, 2022

Composing Partial Differential Equations with Physics-Aware Neural Networks.

Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz

Proceedings of the International Conference on Machine Learning, 2022

Infering Boundary Conditions in Finite Volume Neural Networks.

Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Martin V. Butz, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport.

Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak

CoRR, 2021

Latent State Inference in a Spatiotemporal Generative Model.

Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning.

Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Active Tuning.

Sebastian Otte, Matthias Karlbauer, Martin V. Butz

CoRR, 2020

Hidden Latent State Inference in a Spatio-Temporal Generative Model.

Matthias Karlbauer, Tobias Menge, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

CoRR, 2020

Inferring, Predicting, and Denoising Causal Wave Dynamics.

Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction.

Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020