Weight Uncertainty in Neural Networks

20 May 2015

Papers citing "Weight Uncertainty in Neural Networks"

50 / 393 papers shown

Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis Samuel T. M. Ball UQCV BDL 22 0 0 17 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 48 0 0 05 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 181 0 0 04 May 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 53 0 0 11 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 53 0 0 07 Feb 2025
Student-t processes as infinite-width limits of posterior Bayesian neural networks Francesco Caporali Stefano Favaro Dario Trevisan BDL 251 0 0 06 Feb 2025
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 45 0 0 28 Jan 2025
Optimizing Portfolio Performance through Clustering and Sharpe Ratio-Based Optimization: A Comparative Backtesting Approach Keon Vin Park 29 0 0 21 Jan 2025
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 176 0 0 27 Oct 2024
Adaptive Planning with Generative Models under Uncertainty Pascal Jutras-Dubé Ruqi Zhang Aniket Bera 38 2 0 02 Aug 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 53 0 0 23 Jul 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 46 10 0 02 May 2024
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design A. N. M. N. Abeer Sanket R. Jantre Nathan M. Urban Byung-Jun Yoon 55 1 0 30 Apr 2024
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles Oleksandr Balabanov Hampus Linander UQCV 41 15 0 19 Feb 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 83 7 0 12 Feb 2024
Inadequacy of common stochastic neural networks for reliable clinical decision support Adrian Lindenmeyer Malte Blattmann S. Franke Thomas Neumuth Daniel Schneider BDL 37 1 0 24 Jan 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 29 0 0 21 Nov 2023
Context-Aware Generative Models for Prediction of Aircraft Ground Tracks Nick Pepper George De Ath Marc Thomas Richard Everson T. Dodwell 37 0 0 26 Sep 2023
Adversarial Attacks Against Uncertainty Quantification Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio Fabio Roli AAML 35 2 0 19 Sep 2023
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks Daniel Ries Jason Adams J. Zollweg BDL 19 1 0 11 Aug 2023
Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer L. Aichberger Mykyta Ielanskyi Günter Klambauer Sepp Hochreiter UQCV 42 14 0 06 Jul 2023
Automating Model Comparison in Factor Graphs Bart Van Erp Wouter W. L. Nuijten T. V. D. Laar Bert De Vries 18 1 0 09 Jun 2023
Quantification of Uncertainties in Deep Learning-based Environment Perception Marco Braun Moritz Luszek Jan Siegemund Kevin Kollek A. Kummert UQCV EDL 20 4 0 05 Jun 2023
On the Limitations of Model Stealing with Uncertainty Quantification Models David Pape Sina Daubener Thorsten Eisenhofer Antonio Emanuele Cinà Lea Schonherr 36 3 0 09 May 2023
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Zhongqi Wang AI4TS 24 7 0 16 Mar 2023
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Xu Zhang Wenpeng Li Yunfeng Shao Yinchuan Li FedML 30 4 0 08 Mar 2023
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks Qingyi Wang Shenhao Wang Dingyi Zhuang Haris N. Koutsopoulos Jinhua Zhao AI4TS 19 19 0 07 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 26 2 0 28 Feb 2023
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization Agustinus Kristiadi Felix Dangel Philipp Hennig 32 11 0 14 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 33 1 0 12 Feb 2023
Variational Voxel Pseudo Image Tracking Illia Oleksiienko Paraskevi Nousi Nikolaos Passalis Anastasios Tefas Alexandros Iosifidis 24 1 0 12 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
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition Franziska Schirrmacher Benedikt Lorch Anatol Maier Christian Riess UQCV 30 4 0 02 Feb 2023
Classified as unknown: A novel Bayesian neural network Tianbo Yang Tianshuo Yang BDL UQCV 12 0 0 31 Jan 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 22 12 0 30 Jan 2023
Streaming LifeLong Learning With Any-Time Inference S. Banerjee Vinay Kumar Verma Vinay P. Namboodiri CLL 35 3 0 27 Jan 2023
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction? Wenbo Shao Yan Xu Jun Yu Li Chen Lv Weida Wang Hong Wang 34 9 0 11 Jan 2023
Adversarial Alignment for Source Free Object Detection Qi Chu Shuyan Li Guangyi Chen Kai Li Xiu Li 28 35 0 11 Jan 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 205 11 0 03 Jan 2023
Bayesian posterior approximation with stochastic ensembles Oleksandr Balabanov Bernhard Mehlig Hampus Linander BDL UQCV 29 5 0 15 Dec 2022
Deep Negative Correlation Classification Le Zhang Qibin Hou Yun-Hai Liu Jiawang Bian Xun Xu Qiufeng Wang Ce Zhu 34 1 0 14 Dec 2022
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks Olga Graf P. Flores P. Protopapas K. Pichara PINN 39 6 0 14 Dec 2022
Criteria for Classifying Forecasting Methods Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 21 173 0 07 Dec 2022
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity Yuki Hirayama Sinya Takamaeda-Yamazaki BDL 32 0 0 24 Nov 2022
Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression Levente Foldesi Matias Valdenegro-Toro UQCV 30 3 0 11 Nov 2022
Uncertainty Quantification for Atlas-Level Cell Type Transfer J. Engelmann Leon Hetzel Giovanni Palla L. Sikkema Malte D. Luecken Fabian J. Theis 27 3 0 07 Nov 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 5 0 21 Oct 2022