A New PHO-rmula for Improved Performance of Semi-Structured Networks

1 June 2023

Papers citing "A New PHO-rmula for Improved Performance of Semi-Structured Networks"

9 / 9 papers shown

Title
A Functional Extension of Semi-Structured Networks David Rügamer Bernard X. W. Liew Zainab Altai Almond Stöcker 56 0 0 07 Oct 2024
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression Lucas Kook Chris Kolb Philipp Schiele Daniel Dold Marcel Arpogaus ... Philipp F. M. Baumann Philipp Kopper Tobias Pielok Emilio Dorigatti David Rügamer BDL AI4TS 83 2 0 08 May 2024
Generalizing Orthogonalization for Models with Non-Linearities David Rügamer Chris Kolb Tobias Weber Lucas Kook Thomas Nagler 85 0 0 03 May 2024
Scalable Higher-Order Tensor Product Spline Models David Rügamer 54 2 0 02 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel ... David Rügamer Yee Whye Teh Max Welling Andrew Gordon Wilson Ruqi Zhang UQCV BDL 139 35 0 01 Feb 2024
Bayesian Semi-structured Subspace Inference Daniel Dold David Rügamer Beate Sick Oliver Durr BDL 58 1 0 23 Jan 2024
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer CML 70 1 0 02 Nov 2023
Deep Learning for Survival Analysis: A Review S. Wiegrebe Philipp Kopper R. Sonabend Bernd Bischl Andreas Bender 79 78 0 24 May 2023
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean Anton Thielmann René-Marcel Kruse Thomas Kneib Benjamin Säfken 88 13 0 27 Jan 2023