Title
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Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design Hengrui Zhang WeiWayneChen Akshay Iyer D. Apley Wei-Neng Chen AI4CE 31 11 0 11 Jul 2022
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks Christoph Angermann Markus Haltmeier Ahsan Raza Siyal 33 3 0 09 Jul 2022
Stochastic Poisson Surface Reconstruction Silvia Sellán Alec Jacobson 20 25 0 30 Jun 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 17 2 0 21 Jun 2022
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When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints Mahmoud Shoush Marlon Dumas 19 12 0 15 Jun 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 19 17 0 13 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 17 2 0 12 Jun 2022
A General Framework for quantifying Aleatoric and Epistemic uncertainty in Graph Neural Networks Sai Munikoti D. Agarwal Laya Das Balasubramaniam Natarajan BDL UD 18 13 0 20 May 2022
Multifidelity data fusion in convolutional encoder/decoder networks Lauren Partin Gianluca Geraci A. Rushdi M. Eldred Daniele E. Schiavazzi UQCV AI4CE 12 13 0 10 May 2022
Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization in Harsh Urban Environments Daniel Neamati Sriramya Bhamidipati G. Gao 14 1 0 30 Apr 2022
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement Matias Valdenegro-Toro Daniel Saromo UD PER BDL UQCV 8 76 0 20 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 10 84 0 13 Apr 2022
Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development Kevin Luxem Jennifer J. Sun S. P. Bradley K. Krishnan Eric A. Yttri Jan Zimmermann Talmo D. Pereira M. Laubach 26 35 0 06 Apr 2022
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification Angelica I. Aviles-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb DiffM MedIm 6 17 0 04 Apr 2022
Object Detection as Probabilistic Set Prediction Georg Hess Christoffer Petersson Lennart Svensson 19 5 0 15 Mar 2022
SLAM-Supported Self-Training for 6D Object Pose Estimation Ziqian Lu Yihao Zhang Kevin Doherty Odin Severinsen Ethan Yang John J. Leonard 48 10 0 08 Mar 2022
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate Sascha Ranftl Malte Rolf-Pissarczyk G. Wolkerstorfer Antonio Pepe Jan Egger W. Linden G. Holzapfel 21 9 0 21 Feb 2022
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty Paz Fink Shustin Shashanka Ubaru Vasileios Kalantzis L. Horesh H. Avron 13 2 0 10 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 16 3 0 31 Jan 2022
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 8 263 0 06 Dec 2021
Statistical Perspectives on Reliability of Artificial Intelligence Systems Yili Hong J. Lian Li Xu Jie Min Yueyao Wang Laura J. Freeman Xinwei Deng 22 30 0 09 Nov 2021
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats Muhammad Shafay Taimur Hassan Ernesto Damiani N. Werghi 14 9 0 04 Nov 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification Feras Albardi H. M. D. Kabir Mahbubul I Bhuiyan P. Kebria Abbas Khosravi S. Nahavandi 14 19 0 14 Oct 2021
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions Afshar Shamsi Hamzeh Asgharnezhad AmirReza Tajally Saeid Nahavandi Henry Leung UQCV 31 5 0 07 Oct 2021
Bayesian deep learning of affordances from RGB images Lorenzo Mur-Labadia Ruben Martinez-Cantin UQCV BDL 16 0 0 27 Sep 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction Tareen Dawood C. L. P. Chen R. Andlauer B. Sidhu B. Ruijsink ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King 10 2 0 22 Sep 2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification Zakaria Senousy M. Abdelsamea M. Gaber Moloud Abdar R. Acharya Abbas Khosravi S. Nahavandi 10 56 0 24 Aug 2021
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks Si-Yuan Liu Pei Zhang Dan Lu Guannan Zhang OODD 14 10 0 05 Aug 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 10 37 0 31 Jul 2021
Neural Networks for Parameter Estimation in Intractable Models Amanda Lenzi J. Bessac J. Rudi Michael L. Stein BDL 16 45 0 29 Jul 2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 11 17 0 18 Jul 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 19 14 0 15 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 28 1,103 0 07 Jul 2021
Improving black-box optimization in VAE latent space using decoder uncertainty Pascal Notin José Miguel Hernández-Lobato Y. Gal 19 61 0 30 Jun 2021
Learning to Map for Active Semantic Goal Navigation G. Georgakis Bernadette Bucher Karl Schmeckpeper Siddharth Singh Kostas Daniilidis 25 73 0 29 Jun 2021
Graceful Degradation and Related Fields J. Dymond 18 4 0 21 Jun 2021
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation Yixin Wang Zihao Lin Zhe Xu Haoyu Dong Jiang Tian Jie Luo Zhongchao Shi Yang Zhang Jianping Fan Zhiqiang He UQCV MedIm 27 11 0 21 Jun 2021
Uncertainty quantification and exploration-exploitation trade-off in humans Antonio Candelieri Andrea Ponti F. Archetti 6 4 0 05 Feb 2021
Machine-learning enhanced dark soliton detection in Bose-Einstein condensates Shangjie Guo A. R. Fritsch Craig S. Greenberg I. Spielman Justyna P. Zwolak 16 17 0 14 Jan 2021
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images Narinder Singh Punn Sonali Agarwal 24 31 0 13 Dec 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 42 102 0 24 Aug 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 69 31 0 02 Mar 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 56 51 0 17 Oct 2019
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 250 926 0 24 Sep 2019
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 175 123 0 29 Nov 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018