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1902.01080
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Predictive Uncertainty Quantification with Compound Density Networks
4 February 2019
Agustinus Kristiadi
Sina Daubener
Asja Fischer
BDL
UQCV
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Papers citing
"Predictive Uncertainty Quantification with Compound Density Networks"
11 / 11 papers shown
Title
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Learning to Forget using Hypernetworks
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Stefan Schoepf
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Usman Anwar
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01 Dec 2024
Principled Weight Initialization for Hypernetworks
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Lampros Flokas
Hod Lipson
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13 Dec 2023
A Brief Review of Hypernetworks in Deep Learning
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Jiandong Zhou
Ping Lu
Soheila Molaei
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138
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12 Jun 2023
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
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Vincent Fortuin
BDL
UQCV
80
10
0
17 Apr 2023
Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
Daniel T. Chang
UD
BDL
UQCV
140
5
0
31 May 2021
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
BDL
UQCV
371
1,947
0
12 Nov 2020
Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Sina Daubener
Asja Fischer
BDL
UQCV
55
2
0
07 Aug 2020
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
Gabriele Scalia
Colin A. Grambow
Barbara Pernici
Yi‐Pei Li
W. Green
BDL
89
8
0
07 Oct 2019
1