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Predictive Uncertainty Quantification with Compound Density Networks
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Predictive Uncertainty Quantification with Compound Density Networks

Agustinus Kristiadi
Sina Daubener
Asja Fischer
ArXiv (abs)PDFHTML

Papers citing "Predictive Uncertainty Quantification with Compound Density Networks"

11 / 11 papers shown
Title
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Long Hui
40
0
0
28 May 2025
Learning to Forget using Hypernetworks
Learning to Forget using Hypernetworks
Jose Miguel Lara Rangel
Stefan Schoepf
Jack Foster
David M. Krueger
Usman Anwar
MU
160
1
0
01 Dec 2024
Principled Weight Initialization for Hypernetworks
Principled Weight Initialization for Hypernetworks
Oscar Chang
Lampros Flokas
Hod Lipson
79
77
0
13 Dec 2023
A Brief Review of Hypernetworks in Deep Learning
A Brief Review of Hypernetworks in Deep Learning
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
138
106
0
12 Jun 2023
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
V. Chauhan
Jiandong Zhou
Ghadeer O. Ghosheh
Soheila Molaei
David Clifton
79
11
0
25 May 2023
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Vincent Fortuin
BDLUQCV
80
10
0
17 Apr 2023
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
Daniel T. Chang
UDBDLUQCV
140
5
0
31 May 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
371
1,947
0
12 Nov 2020
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Sina Daubener
Asja Fischer
BDLUQCV
55
2
0
07 Aug 2020
FRMDN: Flow-based Recurrent Mixture Density Network
FRMDN: Flow-based Recurrent Mixture Density Network
S. Razavi
Reshad Hosseini
Tina Behzad
BDL
28
0
0
05 Aug 2020
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction
Gabriele Scalia
Colin A. Grambow
Barbara Pernici
Yi‐Pei Li
W. Green
BDL
89
8
0
07 Oct 2019