Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression.
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Proceedings of the Uncertainty in Artificial Intelligence, 2024
Generalizing Orthogonalization for Models with Non-Linearities.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
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J. Stat. Softw., 2023
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization.
CoRR, 2023
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression.
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CoRR, 2021
A Unifying Network Architecture for Semi-Structured Deep Distributional Learning.
CoRR, 2020