Accurate Uncertainties for Deep Learning Using Calibrated Regression

1 July 2018

Papers citing "Accurate Uncertainties for Deep Learning Using Calibrated Regression"

50 / 140 papers shown

Title
Localization Meets Uncertainty: Uncertainty-Aware Multi-Modal Localization Hye-Min Won Jieun Lee Jiyong Oh EDL 61 0 0 10 Apr 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 71 0 0 19 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 69 1 0 17 Feb 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Zhilin Wang Yankai Lin Yong Liu ELM 107 1 0 03 Feb 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 45 0 0 27 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 42 0 0 03 Jan 2025
Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits H. Bui Enrique Mallada Anqi Liu 111 0 0 08 Nov 2024
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 34 1 0 18 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences Charles Marx Volodymyr Kuleshov Stefano Ermon AI4TS 41 1 0 27 Sep 2024
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 25 0 0 27 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 37 1 0 13 Sep 2024
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration Jiyao Liu Yuxin Li Yuxin Li Lihao Liu Xin Gao ... Yanzhou Su Xuanyang Zhang Junjun He Ningsheng Xu Xiahai Zhuang MedIm 28 1 0 10 Jul 2024
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning Ruibo Shang Geoffrey P. Luke Matthew O'Donnell UQCV 35 0 0 02 Jul 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 58 3 0 05 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks I. Char Youngseog Chung J. Abbate E. Kolemen Jeff Schneider 46 4 0 18 Apr 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 82 2 0 23 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 33 5 0 17 Oct 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 42 2 0 03 Jul 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 20 16 0 03 Jul 2023
A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models R. L. F. Cunha B. Silva Priscilla Avegliano 17 0 0 16 Jun 2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration Moussa Kassem Sbeyti Michelle Karg Christian Wirth Azarm Nowzad S. Albayrak 22 3 0 15 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 21 1 0 15 Jun 2023
Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics P. Pernot 14 4 0 08 Jun 2023
Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning Radosław Szostak Marcin Pietroñ P. Wachniew M. Zimnoch P. Ćwiąkała 24 0 0 05 Jun 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 33 75 0 07 May 2023
Bayesian Optimization of Catalysis With In-Context Learning Mayk Caldas Ramos Shane S. Michtavy Marc D. Porosoff Andrew D. White BDL 44 30 0 11 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 41 0 0 23 Mar 2023
Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer Terence Jie Chua Wen-li Yu Junfeng Zhao AAML UQCV 24 1 0 18 Mar 2023
Sharp Calibrated Gaussian Processes A. Capone Geoff Pleiss Sandra Hirche UQCV 42 4 0 23 Feb 2023
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks Emanuele Ledda Giorgio Fumera Fabio Roli BDL UQCV 38 14 0 06 Feb 2023
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 19 4 0 14 Jan 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 21 4 0 12 Jan 2023
Faithful Heteroscedastic Regression with Neural Networks Andrew Stirn H. Wessels Megan D. Schertzer L. Pereira Neville E. Sanjana David A. Knowles UQCV 25 14 0 18 Dec 2022
Investigating Deep Learning Model Calibration for Classification Problems in Mechanics S. Mohammadzadeh Peerasait Prachaseree Emma Lejeune AI4CE 34 2 0 01 Dec 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 43 7 0 14 Nov 2022
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View Markus Kängsepp Meelis Kull UQCV 15 4 0 08 Nov 2022
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes Francesca Cairoli Nicola Paoletti Luca Bortolussi 25 18 0 04 Nov 2022
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS Rishabh Singh José C. Príncipe UQCV 31 3 0 03 Nov 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 33 4 0 24 Oct 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 30 17 0 21 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 116 4 0 13 Sep 2022
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification Renat Sergazinov Mohammadreza Armandpour I. Gaynanova BDL AI4TS MedIm 38 11 0 09 Sep 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 35 10 0 08 Sep 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu 25 86 0 27 Aug 2022