v1v2v3 (latest)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016

Balaji Lakshminarayanan

Alexander Pritzel

Papers citing "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"

50 / 3,224 papers shown

Title
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content Miguel López-Pérez M. Miani Valery Naranjo Søren Hauberg Aasa Feragen OOD MedIm 132 0 0 21 Mar 2025
GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth M. Attaoui F. Pastore 91 0 0 20 Mar 2025
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey Xiaoou Liu Tiejin Chen Longchao Da Chacha Chen Zhen Lin Hua Wei HILM 142 8 0 20 Mar 2025
Disentangling Uncertainties by Learning Compressed Data Representation Zhiyu An Zhibo Hou Wan Du UQCV UD 115 0 0 20 Mar 2025
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding Jinlong Li Cristiano Saltori Fabio Poiesi N. Sebe 494 2 0 20 Mar 2025
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing Fabian Denoodt José Oramas UQCV 176 0 0 19 Mar 2025
ACE: A Cardinality Estimator for Set-Valued Queries Yufan Sheng Xin Cao Kaiqi Zhao Yixiang Fang Jianzhong Qi Wenjie Zhang Christian S. Jensen 92 0 0 19 Mar 2025
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces Korbinian Kuhn Verena Kersken Gottfried Zimmermann 107 0 0 19 Mar 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 145 0 0 19 Mar 2025
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks Gabriele Sanguin Arjun Pakrashi Marco Viola Francesco Rinaldi 118 0 0 17 Mar 2025
Do you understand epistemic uncertainty? Think again! Rigorous frequentist epistemic uncertainty estimation in regression Enrico Foglia Benjamin Bobbia Nikita Durasov Michaël Bauerheim Pascal Fua S. Moreau Thierry Jardin UQCV UD PER 129 0 0 17 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 146 0 0 17 Mar 2025
Uncertainty-Aware Knowledge Distillation for Compact and Efficient 6DoF Pose Estimation Nassim Ali Ousalah Anis Kacem Enjie Ghorbel Emmanuel Koumandakis Djamila Aouada 96 0 0 17 Mar 2025
Investigating Human-Aligned Large Language Model Uncertainty Kyle Moore Jesse Roberts Daryl Watson Pamela Wisniewski 105 0 0 16 Mar 2025
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need? Xu Wu L. Moloko P. Bokov Gregory K. Delipei Joshua Kaizer K. Ivanov AI4CE 71 0 0 16 Mar 2025
Semi-Decision-Focused Learning with Deep Ensembles: A Practical Framework for Robust Portfolio Optimization Juhyeong Kim 141 0 0 16 Mar 2025
Token-Level Uncertainty-Aware Objective for Language Model Post-Training Tingkai Liu Ari S. Benjamin Anthony M. Zador 86 0 0 15 Mar 2025
Centaur: Robust End-to-End Autonomous Driving with Test-Time Training Chonghao Sima Kashyap Chitta Zhiding Yu Shiyi Lan Ping Luo Andreas Geiger Haoyang Li Jose M. Alvarez 134 7 0 14 Mar 2025
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks Alisa Sheinkman Sara Wade UQCV BDL 125 0 0 14 Mar 2025
A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data Wenbang Deng Xieyuanli Chen Qinghua Yu Yunze He Junhao Xiao Huimin Lu 86 0 0 14 Mar 2025
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space Zhiliang Chen Xinyuan Niu Chuan-Sheng Foo Bryan Kian Hsiang Low 140 1 0 14 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 504 2 0 14 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 93 0 0 13 Mar 2025
SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable Jiaxin Zhang Zechao Li Wendi Cui Kamalika Das Bradley Malin Sricharan Kumar 111 0 0 13 Mar 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis Chen Zhao Xuan Wang Tong Zhang Saqib Javed Mathieu Salzmann 3DGS 566 0 0 13 Mar 2025
Conformal forecasting for surgical instrument trajectory Sara Sangalli Gary Sarwin Ertunc Erdil Alessandro Carretta V. Staartjes Carlo Serra E. Konukoglu 125 0 0 13 Mar 2025
Evidential Uncertainty Probes for Graph Neural Networks Linlin Yu Kangshuo Li Pritom Kumar Saha Yifei Lou Feng Chen EDL UQCV 169 0 0 11 Mar 2025
Certainly Bot Or Not? Trustworthy Social Bot Detection via Robust Multi-Modal Neural Processes Qi Wu Yingguang Yang Hao Liu Hao Peng Buyun He Yutong Xia Yong Liao AAML 126 0 0 11 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick Miller Robert Lee Paarth Shah Rares Andrei Ambrus Haruki Nishimura Masha Itkina OffRL 258 3 0 11 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network Zhenlong Liu Wenyu Jiang Feng Zhou Hongxin Wei MIALM 102 1 0 10 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 485 5 0 10 Mar 2025
Delusions of Large Language Models Hongshen Xu Zixv yang Zichen Zhu Kunyao Lan Zihan Wang Mengyue Wu Ziwei Ji Lu Chen Pascale Fung Kai Yu LRM HILM 130 0 0 09 Mar 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 129 4 0 08 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim Clara Meister Thomas Möllenhoff Iryna Gurevych 104 4 0 07 Mar 2025
LiDAR-enhanced 3D Gaussian Splatting Mapping Jian Shen Huai Yu Ji Wu Wen Yang Gui-Song Xia 3DGS 118 0 0 07 Mar 2025
Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings Xuanqing Liu Luyang Kong Wei Niu Afshin Khashei Belinda Zeng Steve Johnson Jon Jay Davor Golac Matt Pope 78 0 0 07 Mar 2025
Uncertainty Quantification From Scaling Laws in Deep Neural Networks Ibrahim Elsharkawy Yonatan Kahn Benjamin Hooberman UQCV 98 0 0 07 Mar 2025
phepy: Visual Benchmarks and Improvements for Out-of-Distribution Detectors Juniper Tyree Andreas Rupp Petri S. Clusius Michael Boy OODD 94 0 0 07 Mar 2025
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images Rohit Menon Nils Dengler Sicong Pan Gokul Krishna Chenchani Maren Bennewitz EDL 134 0 0 06 Mar 2025
Paths and Ambient Spaces in Neural Loss Landscapes Daniel Dold Julius Kobialka Nicolai Palm Emanuel Sommer David Rügamer Oliver Durr AI4CE 124 0 0 05 Mar 2025
Conceptualizing Uncertainty Isaac Roberts Alexander Schulz Sarah Schroeder Fabian Hinder Barbara Hammer UD 151 0 0 05 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 262 2 0 04 Mar 2025
Joint Out-of-Distribution Filtering and Data Discovery Active Learning Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 161 2 0 04 Mar 2025
PostHoc FREE Calibrating on Kolmogorov Arnold Networks Wenhao Liang Wei Emma Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 105 0 0 03 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 100 0 0 02 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 120 0 0 01 Mar 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 127 1 0 28 Feb 2025
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness Hao Xuan Bokai Yang Xingyu Li AAML 93 4 0 28 Feb 2025
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes Richard Bergna Stefan Depeweg Sergio Calvo-Ordoñez Jonathan Plenk Alvaro Cartea Jose Miguel Hernandez-Lobato UQCV AI4CE 77 0 0 28 Feb 2025
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches Mohammad Moulaeifard Loic Coquelin Mantas Rinkevičius Andrius Sološenko Oskar Pfeffer ... Vaidotas Marozas Andrew Thompson Philip Aston Peter H. Charlton Nils Strodthoff OOD 170 0 0 27 Feb 2025