Felix Draxler

27 papers A* 8A 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Calibrated Test-Time Guidance for Bayesian Inference.
CoRR
Daniel Geyfman, Felix Draxler, Jan Groeneveld, Hyunsoo Lee, Theofanis Karaletsos, Stephan Mandt
2025 J jnl
Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
CoRR
Coen Adler, Yuxin Chang, Felix Draxler, Samar Abdi, Padhraic Smyth
2025 J jnl
Parallel Token Prediction for Language Models.
CoRR
Felix Draxler, Justus C. Will, Farrin Marouf Sofian, Theofanis Karaletsos, Sameer Singh, Stephan Mandt
2025 A conf
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows.
AISTATS
Stefan Wahl, Armand Rousselot, Felix Draxler, Ullrich Köthe
2025 A* conf
Variational Control for Guidance in Diffusion Models.
ICML
Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt
2025 J jnl
Variational Control for Guidance in Diffusion Models.
CoRR
Kushagra Pandey, Farrin Marouf Sofian, Felix Draxler, Theofanis Karaletsos, Stephan Mandt
2024 A conf
Free-form Flows: Make Any Architecture a Normalizing Flow.
AISTATS
Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe
2024 A* conf
Learning Distributions on Manifolds with Free-Form Flows.
NeurIPS
Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe
2024 A* conf
Lifting Architectural Constraints of Injective Flows.
ICLR
Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Köthe
2024 J jnl
On the Universality of Coupling-based Normalizing Flows.
CoRR
Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe
2024 A* conf
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows.
ICML
Felix Draxler, Stefan Wahl, Christoph Schnörr, Ullrich Köthe
2024 J jnl
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows.
CoRR
Stefan Wahl, Armand Rousselot, Felix Draxler, Ullrich Köthe
2023 J jnl
Finding Competence Regions in Domain Generalization.
CoRR
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe
2023 J jnl
Finding Competence Regions in Domain Generalization.
Trans. Mach. Learn. Res.
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Köthe
2023 J jnl
Free-form Flows: Make Any Architecture a Normalizing Flow.
CoRR
Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe
2023 J jnl
Learning Distributions on Manifolds with Free-form Flows.
CoRR
Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe
2023 J jnl
Maximum Likelihood Training of Autoencoders.
CoRR
Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Köthe
2023 A* conf
On the Convergence Rate of Gaussianization with Random Rotations.
ICML
Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe
2023 J jnl
On the Convergence Rate of Gaussianization with Random Rotations.
CoRR
Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe
2022 A* conf
Whitening Convergence Rate of Coupling-based Normalizing Flows.
NeurIPS
Felix Draxler, Christoph Schnörr, Ullrich Köthe
2022 J jnl
Whitening Convergence Rate of Coupling-based Normalizing Flows.
CoRR
Felix Draxler, Christoph Schnörr, Ullrich Köthe
2020 — conf
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows.
GCPR
Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe
2020 — conf
Riemannian SOS-Polynomial Normalizing Flows.
GCPR
Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr
2019 A* conf
On the Spectral Bias of Neural Networks.
ICML
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville
2018 A* conf
Essentially No Barriers in Neural Network Energy Landscape.
ICML
Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht
2018 J jnl
Essentially No Barriers in Neural Network Energy Landscape.
CoRR
Felix Draxler, Kambis Veschgini, Manfred Salmhofer, Fred A. Hamprecht
2018 J jnl
On the Spectral Bias of Deep Neural Networks.
CoRR
Nasim Rahaman, Devansh Arpit, Aristide Baratin, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron C. Courville