Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

15 December 2020

Frederik Kratzert

Günter Klambauer

Sepp Hochreiter

Papers citing "Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling"

18 / 18 papers shown

Title
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 76 90 0 14 Jul 2021
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales D. Feng K. Fang Chaopeng Shen AI4TS 62 277 0 18 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 107 628 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 371 42,299 0 03 Dec 2019
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians Axel Brando Jose A. Rodríguez-Serrano Jordi Vitrià Alberto Rubio 31 22 0 27 Oct 2019
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets Frederik Kratzert D. Klotz Guy Shalev Günter Klambauer Sepp Hochreiter G. Nearing 44 557 0 19 Jul 2019
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions K. Fang Chaopeng Shen Daniel Kifer UD 35 10 0 10 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 159 1,688 0 06 Jun 2019
Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks Jonas Rothfuss Fabio Ferreira Simon Walther Maxim Ulrich TPM 81 73 0 03 Mar 2019
How do Mixture Density RNNs Predict the Future? K. Ellefsen Charles Patrick Martin J. Tørresen 34 13 0 23 Jan 2019
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 117 937 0 04 Sep 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 86 362 0 22 Mar 2018
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 135 345 0 06 Sep 2017
A Neural Representation of Sketch Drawings David R Ha Douglas Eck 87 867 0 11 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 336 4,700 0 15 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 690 9,290 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 171 1,886 0 20 May 2015
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 140 4,031 0 04 Aug 2013