Predictive Uncertainty Quantification with Compound Density Networks

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Predictive Uncertainty Quantification with Compound Density Networks

4 February 2019

Agustinus Kristiadi

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Papers citing "Predictive Uncertainty Quantification with Compound Density Networks"

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Title
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 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 Oscar Chang Lampros Flokas Hod Lipson 79 77 0 13 Dec 2023
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 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 53 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