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ORCIDFelix Draxler
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- affiliation: Heidelberg University, Germany
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2020 – today
- 2024
[c9]Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe:
Free-form Flows: Make Any Architecture a Normalizing Flow. AISTATS 2024: 2197-2205- [c8]Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Köthe:
Lifting Architectural Constraints of Injective Flows. ICLR 2024 - [c7]Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe:
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows. ICML 2024 - [i9]Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe:
On the Universality of Coupling-based Normalizing Flows. CoRR abs/2402.06578 (2024) - 2023
- [j1]Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe:
Finding Competence Regions in Domain Generalization. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe:
On the Convergence Rate of Gaussianization with Random Rotations. ICML 2023: 8449-8468 - [i8]Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe:
Finding Competence Regions in Domain Generalization. CoRR abs/2303.09989 (2023) - [i7]Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann
, Ullrich Köthe:
Maximum Likelihood Training of Autoencoders. CoRR abs/2306.01843 (2023) - [i6]Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe:
On the Convergence Rate of Gaussianization with Random Rotations. CoRR abs/2306.13520 (2023) - [i5]Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe:
Free-form Flows: Make Any Architecture a Normalizing Flow. CoRR abs/2310.16624 (2023) - [i4]Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe:
Learning Distributions on Manifolds with Free-form Flows. CoRR abs/2312.09852 (2023) - 2022
- [c5]Felix Draxler, Christoph Schnörr, Ullrich Köthe:
Whitening Convergence Rate of Coupling-based Normalizing Flows. NeurIPS 2022 - [i3]Felix Draxler, Christoph Schnörr, Ullrich Köthe:
Whitening Convergence Rate of Coupling-based Normalizing Flows. CoRR abs/2210.14032 (2022) - 2020
- [c4]Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe:
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows. GCPR 2020: 1-14 - [c3]Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr:
Riemannian SOS-Polynomial Normalizing Flows. GCPR 2020: 218-231
2010 – 2019
- 2019
- [c2]Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville:
On the Spectral Bias of Neural Networks. ICML 2019: 5301-5310 - 2018
- [c1]Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht:
Essentially No Barriers in Neural Network Energy Landscape. ICML 2018: 1308-1317 - [i2]Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht:
Essentially No Barriers in Neural Network Energy Landscape. CoRR abs/1803.00885 (2018) - [i1]Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville:
On the Spectral Bias of Deep Neural Networks. CoRR abs/1806.08734 (2018)
Coauthor Index
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