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Deep interpretable ensembles

Deep interpretable ensembles

25 May 2022
Lucas Kook
Andrea Götschi
Philipp F. M. Baumann
Torsten Hothorn
Beate Sick
    UQCV
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Papers citing "Deep interpretable ensembles"

8 / 8 papers shown
Title
Going beyond explainability in multi-modal stroke outcome prediction models
Going beyond explainability in multi-modal stroke outcome prediction models
Jonas Brändli
Maurice Schneeberger
L. Herzog
Loran Avci
Nordin Dari
Martin Häansel
Hakim Baazaoui
Pascal Bühler
S. Wegener
Beate Sick
26
0
0
07 Apr 2025
Bayesian Semi-structured Subspace Inference
Bayesian Semi-structured Subspace Inference
Daniel Dold
David Rügamer
Beate Sick
Oliver Durr
BDL
32
1
0
23 Jan 2024
Bayesian posterior approximation with stochastic ensembles
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
27
5
0
15 Dec 2022
Estimating Conditional Distributions with Neural Networks using R
  package deeptrafo
Estimating Conditional Distributions with Neural Networks using R package deeptrafo
Lucas Kook
Philipp F. M. Baumann
Oliver Durr
Beate Sick
David Rügamer
24
6
0
24 Nov 2022
Confident Neural Network Regression with Bootstrapped Deep Ensembles
Confident Neural Network Regression with Bootstrapped Deep Ensembles
Laurens Sluijterman
Eric Cator
Tom Heskes
BDL
UQCV
FedML
16
2
0
22 Feb 2022
Probabilistic Time Series Forecasts with Autoregressive Transformation
  Models
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
CRPS Learning
CRPS Learning
Jonathan Berrisch
F. Ziel
45
25
0
01 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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