Deep Distribution Regression

Deep Distribution Regression

14 March 2019

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Papers citing "Deep Distribution Regression"

18 / 18 papers shown

Title
An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications Viacheslav Barkov Jonas Schmidinger Robin Gebbers Martin Atzmueller 85 1 0 18 Sep 2024
Distributional Refinement Network: Distributional Forecasting via Deep Learning Benjamin Avanzi Eric Dong P. Laub Bernard Wong AI4TS MedIm 67 0 0 03 Jun 2024
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis SeungHwan An Gyeongdong Woo Jaesung Lim ChangHyun Kim Sungchul Hong Jong-June Jeon 111 1 0 31 May 2024
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 101 0 0 30 May 2024
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates Shaikh Quader Andres Jaramillo Sumona Mukhopadhyay Ghadeer Abuoda Calisto Zuzarte David Kalmuk Marin Litoiu Manos Papagelis 26 1 0 22 Jan 2024
Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fields Pratik Nag Ying Sun Brian J. Reich 37 2 0 16 Jul 2023
Stone's theorem for distributional regression in Wasserstein distance Clément Dombry Thibault Modeste Romain Pic 161 5 0 02 Feb 2023
REDS: Random Ensemble Deep Spatial prediction Ranadeep Daw C. Wikle 39 10 0 09 Nov 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 222 46 0 17 Sep 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 84 28 0 17 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 69 3 0 12 Jun 2022
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison Benedikt Schulz Sebastian Lerch 60 76 0 17 Jun 2021
Multivariate Probabilistic Regression with Natural Gradient Boosting Michael O’Malley A. Sykulski R. Lumpkin Alejandro Schuler BDL 35 7 0 07 Jun 2021
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions Bing Chen Mazharul Islam Jisuo Gao Lin Wang BDL CML 32 7 0 29 May 2021
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting D. Huberman Brian J. Reich H. Bondell 24 6 0 17 Aug 2020
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction Wanfang Chen Yuxiao Li Brian J. Reich Ying Sun 92 33 0 23 Jul 2020
Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities David Rügamer Chris Kolb Nadja Klein 79 23 0 13 Feb 2020
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 86 14 0 26 Aug 2019