Bayesian Neural Networks: An Introduction and Survey

22 June 2020

Papers citing "Bayesian Neural Networks: An Introduction and Survey"

25 / 25 papers shown

Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model T. Kaiser Thomas Norrenbrock Bodo Rosenhahn 48 0 0 08 May 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 140 0 0 14 Mar 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 65 0 0 17 Feb 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 61 2 0 28 Jan 2025
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Optimizing MCMC-Driven Bayesian Neural Networks for High-Precision Medical Image Classification in Small Sample Sizes Mingyu Sun 18 0 0 18 Sep 2024
Joint Segmentation and Image Reconstruction with Error Prediction in Photoacoustic Imaging using Deep Learning Ruibo Shang Geoffrey P. Luke Matthew O'Donnell UQCV 27 0 0 02 Jul 2024
Recurrent Deep Kernel Learning of Dynamical Systems N. Botteghi Paolo Motta Andrea Manzoni P. Zunino Mengwu Guo 23 1 0 30 May 2024
Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies Jonathan Serrano-Pérez Raquel Díaz-Hernández L. Sucar 17 1 0 03 May 2024
Variational Sampling of Temporal Trajectories Jurijs Nazarovs Zhichun Huang Xingjian Zhen Sourav Pal Rudrasis Chakraborty Vikas Singh 24 0 0 18 Mar 2024
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks A. Budak Keren Zhu David Z. Pan 11 3 0 27 Nov 2023
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 19 0 0 21 Nov 2023
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference Dejan Porjazovski Yaroslav Getman Tamás Grósz M. Kurimo 28 3 0 16 Oct 2023
Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions Jordan Lekeufack Anastasios Nikolas Angelopoulos Andrea V. Bajcsy Michael I. Jordan Jitendra Malik OffRL 31 28 0 09 Oct 2023
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 30 4 0 09 Oct 2023
Conformalized Multimodal Uncertainty Regression and Reasoning Mimmo Parente Nastaran Darabi Alex C. Stutts Theja Tulabandhula A. R. Trivedi UQCV 28 6 0 20 Sep 2023
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms Masoud Mokhtari M. Mahdavi H. Vaseli C. Luong Purang Abolmaesumi T. Tsang Renjie Liao 17 2 0 23 Jul 2023
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 30 0 0 19 May 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation Mixue Xie Shuang Li Rui Zhang Chi Harold Liu UQCV 35 29 0 27 Feb 2023
Physics-informed Neural Networks with Unknown Measurement Noise Philipp Pilar Niklas Wahlström PINN 18 6 0 28 Nov 2022
Distribution Free Prediction Sets for Node Classification J. Clarkson AI4CE 35 24 0 26 Nov 2022
Improved conformalized quantile regression Martim Sousa Ana Maria Tomé José Manuel Moreira 26 6 0 06 Jul 2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data Xu Liu Wenjuan Yao Wei Peng Weien Zhou PINN AI4CE 41 25 0 14 May 2022
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 27 6 0 10 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015