Kolb, Chris

5 publications

ICLR 2025 Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb, Tobias Weber, Bernd Bischl, David Rügamer

ICLRW 2025 Differentiable Attention Sparsity via Structured $d$-Gating Chris Kolb, Bernd Bischl, David Rügamer

NeurIPS 2025 Differentiable Sparsity via $d$-Gating: Simple and Versatile Structured Penalization Chris Kolb, Laetitia Frost, Bernd Bischl, David Rügamer

ICML 2024 Generalizing Orthogonalization for Models with Non-Linearities David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler

UAI 2024 How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer