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

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

International Conference on Machine Learning (ICML), 2023
1 June 2023
David Rügamer
ArXiv (abs)PDFHTML

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
A Functional Extension of Semi-Structured NetworksNeural Information Processing Systems (NeurIPS), 2024
David Rügamer
Bernard X. W. Liew
Zainab Altai
Almond Stöcker
132
0
0
07 Oct 2024
How Inverse Conditional Flows Can Serve as a Substitute for
  Distributional Regression
How Inverse Conditional Flows Can Serve as a Substitute for Distributional RegressionConference on Uncertainty in Artificial Intelligence (UAI), 2024
Lucas Kook
Chris Kolb
Philipp Schiele
Daniel Dold
Marcel Arpogaus
...
Philipp F. M. Baumann
Philipp Kopper
Tobias Pielok
Emilio Dorigatti
David Rügamer
BDLAI4TS
327
2
0
08 May 2024
Generalizing Orthogonalization for Models with Non-Linearities
Generalizing Orthogonalization for Models with Non-LinearitiesInternational Conference on Machine Learning (ICML), 2024
David Rügamer
Chris Kolb
Tobias Weber
Lucas Kook
Thomas Nagler
209
1
0
03 May 2024
Scalable Higher-Order Tensor Product Spline Models
Scalable Higher-Order Tensor Product Spline Models
David Rügamer
149
3
0
02 Feb 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
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
UQCVBDL
344
56
0
01 Feb 2024
Bayesian Semi-structured Subspace Inference
Bayesian Semi-structured Subspace InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Daniel Dold
David Rügamer
Beate Sick
Oliver Durr
BDL
149
1
0
23 Jan 2024
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in
  CXR Embeddings
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings
Tobias Weber
Michael Ingrisch
B. Bischl
David Rügamer
CML
214
1
0
02 Nov 2023
Deep Learning for Survival Analysis: A Review
Deep Learning for Survival Analysis: A ReviewArtificial Intelligence Review (AIR), 2023
S. Wiegrebe
Philipp Kopper
R. Sonabend
B. Bischl
Andreas Bender
336
132
0
24 May 2023
Neural Additive Models for Location Scale and Shape: A Framework for
  Interpretable Neural Regression Beyond the Mean
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the MeanInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
214
22
0
27 Jan 2023
1