Thomas Möllenhoff

CoRR, 2024

2023

A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

Model Merging by Uncertainty-Based Gradient Matching.

[BibT_eX]

[DOI]

CoRR, 2023

The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SAM as an Optimal Relaxation of Bayes.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Lie-Group Bayesian Learning Rule.

[BibT_eX]

[DOI]

Eren Mehmet Kiral

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., September, 2022

Non-Smooth Energy Dissipating Networks.

[BibT_eX]

[DOI]

Hannah Dröge

Michael Möller

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Sublabel-Accurate Multilabeling Meets Product Label Spaces.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Efficient Lifting Methods for Variational Problems.

[BibT_eX]

[DOI]

PhD thesis, 2020

Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Informative GANs via Structured Regularization of Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2019

Flat Metric Minimization with Applications in Generative Modeling.

[BibT_eX]

[DOI]

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

Controlling Neural Networks via Energy Dissipation.

[BibT_eX]

[DOI]

Michael Möller

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Proximal Backpropagation.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Fight Ill-Posedness With Ill-Posedness: Single-Shot Variational Depth Super-Resolution From Shading.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Combinatorial Preconditioners for Proximal Algorithms on Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Precise Relaxation of the Mumford-Shah Functional.

[BibT_eX]

[DOI]