Deep Conditional Transformation Models

15 October 2020

Papers citing "Deep Conditional Transformation Models"

9 / 9 papers shown

Title
An interpretable neural network-based non-proportional odds model for ordinal regression Akifumi Okuno Kazuharu Harada 32 1 0 31 Mar 2023
mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods David Rügamer 29 0 0 04 Feb 2023
Deep conditional transformation models for survival analysis Gabriele Campanella Lucas Kook I. Häggström Torsten Hothorn Thomas J. Fuchs 21 2 0 20 Oct 2022
Deep interpretable ensembles Lucas Kook Andrea Götschi Philipp F. M. Baumann Torsten Hothorn Beate Sick UQCV 24 8 0 25 May 2022
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 50 12 0 15 Oct 2021
Transformation Models for Flexible Posteriors in Variational Bayes Sefan Hörtling Daniel Dold Oliver Durr Beate Sick 16 0 0 01 Jun 2021
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression David Rügamer Chris Kolb Cornelius Fritz Florian Pfisterer Philipp Kopper ... Dominik Thalmeier Philipp F. M. Baumann Lucas Kook Nadja Klein Christian L. Müller BDL 16 19 0 06 Apr 2021
Semi-Structured Deep Piecewise Exponential Models Philipp Kopper Sebastian Polsterl Christian Wachinger B. Bischl Andreas Bender David Rügamer 19 21 0 11 Nov 2020
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 48 57 0 05 Jun 2019