AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification

26 October 2021

Papers citing "AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification"

27 / 27 papers shown

Title
Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles Tirtha Vinchurkar Kareem Abdelmaqsoud John R. Kitchin AI4CE 86 0 0 17 Apr 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification Shrihan Agarwal A. Ćiprijanović Brian D. Nord OOD 38 0 0 08 Jan 2025
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 36 1 0 01 Oct 2024
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena Logan T. Ward J. G. Pauloski Valérie Hayot-Sasson Y. Babuji Alexander Brace Ryan Chard Kyle Chard R. Thakur Ian T. Foster 25 5 0 26 Aug 2024
An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units Zihan Wang Anindya Bhaduri Hongyi Xu Liping Wang 27 1 0 19 Jul 2024
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation Luís Almeida Ines Dutra Francesco Renna UQCV 27 0 0 17 Jul 2024
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning Fahimeh Fakour Ali Mosleh Ramin Ramezani UQCV UD PER 38 1 0 01 Jun 2024
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fields Joshua A. Vita Amit Samanta Fei Zhou Vincenzo Lordi 16 2 0 01 Feb 2024
Optimizing Distributed Training on Frontier for Large Language Models Sajal Dash Isaac Lyngaas Junqi Yin Xiao Wang Romain Egele Guojing Cong Feiyi Wang Prasanna Balaprakash ALM MoE 52 13 0 20 Dec 2023
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning Shiyang Yan Zongxuan Liu Lin Xu 27 0 0 12 Oct 2023
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search Shengli Jiang Shiyi Qin Reid C. Van Lehn Prasanna Balaprakash Victor M. Zavala AI4CE 21 7 0 19 Jul 2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation Andrew Bolt Conrad Sanderson J. Dabrowski C. Huston Petra Kuhnert 11 3 0 10 May 2023
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control Ho-Woon Lee Taekyung Kim Jungwi Mun Wonsuk Lee 28 15 0 01 May 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas J. Guibas P. Koumoutsakos AI4CE 22 6 0 04 Apr 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task Sunwoong Yang K. Yee UQCV 32 5 0 28 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 11 2 0 28 Feb 2023
Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles R. Maulik Romain Egele Krishnan Raghavan Prasanna Balaprakash UQCV AI4TS AI4CE 11 6 0 20 Feb 2023
Credal Bayesian Deep Learning Michele Caprio Souradeep Dutta Kuk Jin Jang Vivian Lin Radoslav Ivanov O. Sokolsky Insup Lee OOD BDL UQCV 21 18 0 19 Feb 2023
Optimal Training of Mean Variance Estimation Neural Networks Laurens Sluijterman Eric Cator Tom Heskes DRL 10 24 0 17 Feb 2023
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics Luis Basora Arthur Viens M. A. Chao X. Olive UQCV BDL OOD 11 8 0 09 Feb 2023
Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness Sumegha Premchandar Sandeep Madireddy Sanket R. Jantre Prasanna Balaprakash OOD UQCV 11 3 0 08 Oct 2022
Interpretable Uncertainty Quantification in AI for HEP Thomas Y. Chen B. Dey A. Ghosh Michael Kagan Brian D. Nord Nesar Ramachandra 17 7 0 05 Aug 2022
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization Romain Egele Isabelle M Guyon V. Vishwanath Prasanna Balaprakash BDL 11 5 0 01 Jul 2022
A Taxonomy of Error Sources in HPC I/O Machine Learning Models Mihailo Isakov Mikaela Currier Eliakin Del Rosario Sandeep Madireddy Prasanna Balaprakash P. Carns R. Ross Glenn K. Lockwood Michel A. Kinsy 20 1 0 18 Apr 2022
Deep-Ensemble-Based Uncertainty Quantification in Spatiotemporal Graph Neural Networks for Traffic Forecasting Tanwi Mallick Prasanna Balaprakash Jane Macfarlane BDL 17 11 0 04 Apr 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015