Philipp Kopper

13 papers A 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
On Training Survival Models with Scoring Rules.
ECML/PKDD (7)
Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender
2025 J jnl
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.
J. Open Source Softw.
Sebastian Fischer, John Zobolas, Raphael Sonabend, Marc Becker, Michel Lang, Martin Binder, Lennart Schneider, Lukas Burk, Patrick Schratz, Byron C. Jaeger, Stephen A. Lauer, Lorenz A. Kapsner, Maximilian Mücke, Zezhi Wang, Damir Pulatov, Keenan Ganz, Henri Funk, Liana Harutyunyan, Pierre Camilleri, Philipp Kopper, Andreas Bender, Baisu Zhou, Niko German, Lona Koers, Anna Nazarova, Bernd Bischl
2024 J jnl
Deep learning for survival analysis: a review.
Artif. Intell. Rev.
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender
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
2024 J jnl
Training Survival Models using Scoring Rules.
CoRR
Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender
2023 J jnl
Deep Learning for Survival Analysis: A Review.
CoRR
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Andreas Bender
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
2022 — conf
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis.
PAKDD (2)
Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer
2022 J jnl
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis.
CoRR
Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer
2021 — conf
Semi-Structured Deep Piecewise Exponential Models.
SPACA
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer
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
Semi-Structured Deep Piecewise Exponential Models.
CoRR
Philipp Kopper, Sebastian Pölsterl, Christian Wachinger, Bernd Bischl, Andreas Bender, David Rügamer