Felix Draxler

According to our database, Felix Draxler authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

On the Universality of Coupling-based Normalizing Flows.

Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe

CoRR, 2024

2023

Learning Distributions on Manifolds with Free-form Flows.

Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe

CoRR, 2023

Free-form Flows: Make Any Architecture a Normalizing Flow.

Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe

CoRR, 2023

Maximum Likelihood Training of Autoencoders.

Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Köthe

CoRR, 2023

Finding Competence Regions in Domain Generalization.

Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe

CoRR, 2023

On the Convergence Rate of Gaussianization with Random Rotations.

Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe

Proceedings of the International Conference on Machine Learning, 2023

2022

Whitening Convergence Rate of Coupling-based Normalizing Flows.

Felix Draxler, Christoph Schnörr, Ullrich Köthe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Riemannian SOS-Polynomial Normalizing Flows.

Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows.

Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

On the Spectral Bias of Neural Networks.

Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the Spectral Bias of Deep Neural Networks.

Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville

CoRR, 2018

Essentially No Barriers in Neural Network Energy Landscape.

Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht

Proceedings of the 35th International Conference on Machine Learning, 2018