Chris Kolb

13 papers A* 2A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors.
CoRR
Julius Kobialka, Emanuel Sommer, Chris Kolb, Juntae Kwon, Daniel Dold, David Rügamer
2026 J jnl
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization.
Mach. Learn.
Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
2025 A* conf
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries.
ICLR
Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer
2025 J jnl
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries.
CoRR
Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer
2025 J jnl
Differentiable Sparsity via
CoRR
Chris Kolb, Laetitia Frost, Bernd Bischl, David Rügamer
2024 A* conf
Generalizing Orthogonalization for Models with Non-Linearities.
ICML
David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler
2024 J jnl
Generalizing Orthogonalization for Models with Non-Linearities.
CoRR
David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler
2024 A conf
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
UAI
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
2024 J jnl
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
CoRR
Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer
2023 J jnl
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization.
CoRR
Chris Kolb, Christian L. Müller, Bernd Bischl, David Rügamer
2023 J jnl
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
J. Stat. Softw.
David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
2021 J jnl
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
CoRR
David Rügamer, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Nadja Klein, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Christian L. Müller
2020 J jnl
A Unifying Network Architecture for Semi-Structured Deep Distributional Learning.
CoRR
David Rügamer, Chris Kolb, Nadja Klein