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ORCIDMatthias Karlbauer
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Journal Articles
- 2023
[j2]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)- [j1]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): 896-903 (2023)
Conference and Workshop Papers
- 2023
- [c7]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 - 2022
- [c6]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: 538-549 - [c5]Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. ICML 2022: 10773-10801 - 2021
- [c4]Melvin Ciurletti, Manuel Traub, Matthias Karlbauer, Martin V. Butz, Sebastian Otte:
Signal Denoising with Recurrent Spiking Neural Networks and Active Tuning. ICANN (5) 2021: 220-232 - [c3]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: 384-395 - 2020
- [c2]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: 303-308 - [c1]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: 566-577
Data and Artifacts
- 2022
- [d2]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. DaRUS, 2022
- [d1]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfang Nowak:
Finite Volume Neural Network. Zenodo, 2022
Informal and Other Publications
- 2024
- [i11]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 abs/2407.14129 (2024) - [i10]Cosku Can Horuz, Matthias Karlbauer, Timothy Praditia, Sergey Oladyshkin, Wolfgang Nowak, Sebastian Otte:
Inferring Underwater Topography with FINN. CoRR abs/2408.10649 (2024) - 2023
- [i9]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 abs/2304.04664 (2023) - [i8]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 abs/2311.06253 (2023) - 2022
- [i7]Manuel Traub, Sebastian Otte, Tobias Menge, Matthias Karlbauer, Jannik Thümmel, Martin V. Butz:
Learning What and Where - Unsupervised Disentangling Location and Identity Tracking. CoRR abs/2205.13349 (2022) - 2021
- [i6]Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. Butz, Wolfgang Nowak:
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. CoRR abs/2104.06010 (2021) - [i5]Matthias Karlbauer, Timothy Praditia, Sebastian Otte, Sergey Oladyshkin, Wolfgang Nowak, Martin V. Butz:
Composing Partial Differential Equations with Physics-Aware Neural Networks. CoRR abs/2111.11798 (2021) - 2020
- [i4]Matthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz:
Inferring, Predicting, and Denoising Causal Wave Dynamics. CoRR abs/2009.09187 (2020) - [i3]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 abs/2009.09823 (2020) - [i2]Sebastian Otte, Matthias Karlbauer, Martin V. Butz:
Active Tuning. CoRR abs/2010.03958 (2020) - 2019
- [i1]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 abs/1912.11141 (2019)
Coauthor Index
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