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Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
v1v2v3 (latest)

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
    UQCVBDL
ArXiv (abs)PDFHTML

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

50 / 3,224 papers shown
Title
SSE: Multimodal Semantic Data Selection and Enrichment for
  Industrial-scale Data Assimilation
SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation
Maying Shen
Nadine Chang
Sifei Liu
Jose M. Alvarez
75
2
0
20 Sep 2024
How to Build the Virtual Cell with Artificial Intelligence: Priorities
  and Opportunities
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
Charlotte Bunne
Yusuf Roohani
Yanay Rosen
Ankit Gupta
Xikun Zhang
...
Theofanis Karaletsos
Aviv Regev
Emma Lundberg
J. Leskovec
Stephen R. Quake
120
26
0
18 Sep 2024
Calibrated Multivariate Regression with Localized PIT Mappings
Calibrated Multivariate Regression with Localized PIT Mappings
Lucas Kock
G. S. Rodrigues
Scott A. Sisson
Nadja Klein
David J. Nott
96
0
0
17 Sep 2024
Motion Forecasting via Model-Based Risk Minimization
Motion Forecasting via Model-Based Risk Minimization
Aron Distelzweig
Eitan Kosman
Andreas Look
Faris Janjoš
Denesh K. Manivannan
Abhinav Valada
63
3
0
16 Sep 2024
Benchmarking Large Language Model Uncertainty for Prompt Optimization
Benchmarking Large Language Model Uncertainty for Prompt Optimization
Pei-Fu Guo
Yun-Da Tsai
Shou-De Lin
ELMLRM
122
1
0
16 Sep 2024
Robots that Suggest Safe Alternatives
Robots that Suggest Safe Alternatives
Hyun Joe Jeong
Andrea V. Bajcsy
Andrea Bajcsy
OffRL
101
1
0
15 Sep 2024
Estimating Wage Disparities Using Foundation Models
Estimating Wage Disparities Using Foundation Models
Keyon Vafa
Susan Athey
David M. Blei
190
3
0
15 Sep 2024
Active Learning to Guide Labeling Efforts for Question Difficulty
  Estimation
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
Arthur Thuy
Ekaterina Loginova
Dries F. Benoit
43
1
0
14 Sep 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning
Uncertainty Estimation by Density Aware Evidential Deep Learning
Taeseong Yoon
Heeyoung Kim
EDLUQCV
88
4
0
13 Sep 2024
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
Chenjun Li
Dian Yang
Shun Yao
Shuyue Wang
Ye Wu
...
C. Westin
L. O’Donnell
N. Sochen
O. Pasternak
Fan Zhang
UQCV
114
0
0
11 Sep 2024
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
A Likelihood Ratio-Based Approach to Segmenting Unknown Objects
Nazir Nayal
Youssef Shoeb
Fatma Güney
OODD
82
4
0
10 Sep 2024
Sources of Uncertainty in 3D Scene Reconstruction
Sources of Uncertainty in 3D Scene Reconstruction
Talal Alrawajfeh
Riccardo Mereu
Arno Solin
Mikko Heikkilä
3DV3DGS
100
3
0
10 Sep 2024
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Competency-Aware Planning for Probabilistically Safe Navigation Under Perception Uncertainty
Sara Pohland
Claire Tomlin
95
0
0
09 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
Farah Alsafadi
Aidan Furlong
Xu Wu
UQCVAI4CE
105
3
0
09 Sep 2024
Empowering Bayesian Neural Networks with Functional Priors through
  Anchored Ensembling for Mechanics Surrogate Modeling Applications
Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications
Javad Ghorbanian
Nicholas Casaprima
Audrey Olivier
82
1
0
08 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDLBDLUQCV
147
6
0
07 Sep 2024
Enhancing Uncertainty Quantification in Drug Discovery with Censored
  Regression Labels
Enhancing Uncertainty Quantification in Drug Discovery with Censored Regression Labels
Emma Svensson
Hannah Rosa Friesacher
S. Winiwarter
Lewis H. Mervin
Adam Arany
Ola Engkvist
131
2
0
06 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation
  Using Estimated Accuracy
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
86
0
0
06 Sep 2024
Epistemic Uncertainty and Observation Noise with the Neural Tangent
  Kernel
Epistemic Uncertainty and Observation Noise with the Neural Tangent Kernel
Sergio Calvo-Ordoñez
Konstantina Palla
Kamil Ciosek
71
1
0
06 Sep 2024
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose
  Estimation
MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation
Philipp Quentin
Daniel Goehring
89
0
0
05 Sep 2024
Prediction Accuracy & Reliability: Classification and Object
  Localization under Distribution Shift
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Fabian Diet
Moussa Kassem Sbeyti
Michelle Karg
81
0
0
05 Sep 2024
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned
  Models
Hallucination Detection in LLMs: Fast and Memory-Efficient Finetuned Models
Gabriel Y. Arteaga
Thomas B. Schon
Nicolas Pielawski
115
9
0
04 Sep 2024
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable
  MedSAM
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM
N. Zhou
Ke Zou
Kai Ren
Mengting Luo
Linchao He
Ming Wang
Yidi Chen
Yi Zhang
Hu Chen
Huazhu Fu
MedIm
78
3
0
02 Sep 2024
Deep Probabilistic Traversability with Test-time Adaptation for
  Uncertainty-aware Planetary Rover Navigation
Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
Masafumi Endo
Tatsunori Taniai
Genya Ishigami
82
1
0
01 Sep 2024
chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics
chemtrain: Learning Deep Potential Models via Automatic Differentiation and Statistical Physics
Paul Fuchs
Stephan Thaler
Sebastien Röcken
Julija Zavadlav
DiffM
172
10
0
28 Aug 2024
Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
Saining Zhang
Baijun Ye
Xiaoxue Chen
Yuantao Chen
Zongzheng Zhang
Cheng Peng
Yongliang Shi
Hao Zhao
3DGS
123
6
0
27 Aug 2024
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Low-Budget Simulation-Based Inference with Bayesian Neural Networks
Arnaud Delaunoy
Maxence de la Brassinne Bonardeaux
S. Mishra-Sharma
Gilles Louppe
85
2
0
27 Aug 2024
Holistic Uncertainty Estimation For Open-Set Recognition
Holistic Uncertainty Estimation For Open-Set Recognition
Leonid Erlygin
Alexey Zaytsev
CVBMEDLUQCV
113
0
0
26 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in
  Node-Classification
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
S. Akansha
82
0
0
25 Aug 2024
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to
  Reinforcement Learning
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning
Dillon Davis
Huiji Gao
Weiwei Guo
Thomas Legrand
Malay Haldar
Alex Deng
Han Zhao
Liwei He
Sanjeev Katariya
86
0
0
23 Aug 2024
Evidential Deep Partial Multi-View Classification With Discount Fusion
Evidential Deep Partial Multi-View Classification With Discount Fusion
Haojian Huang
Zhe Liu
S. Letchmunan
Muhammet Deveci
Mingwei Lin
Weizhong Wang
111
4
0
23 Aug 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao
Yan Lin
Shengnan Guo
Yubin Chen
Xingyu Xian
Haomin Wen
Qisen Xu
Youfang Lin
Huaiyu Wan
122
1
0
23 Aug 2024
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
Chengjie Lu
Jiahui Wu
Shaukat Ali
Mikkel Labori Olsen
UQCV
68
3
0
22 Aug 2024
Measuring Uncertainty Disentanglement Error in Classification
Measuring Uncertainty Disentanglement Error in Classification
Ivo Pascal de Jong
A. Sburlea
Matthia Sabatelli
Matias Valdenegro-Toro
UQCVUDPER
94
4
0
22 Aug 2024
On the Potential of Open-Vocabulary Models for Object Detection in
  Unusual Street Scenes
On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes
Sadia Ilyas
Ido Freeman
Matthias Rottmann
ObjD
117
3
0
20 Aug 2024
Learning Randomized Algorithms with Transformers
Learning Randomized Algorithms with Transformers
J. Oswald
Seijin Kobayashi
Yassir Akram
Angelika Steger
AAML
88
1
0
20 Aug 2024
Unconditional Truthfulness: Learning Conditional Dependency for
  Uncertainty Quantification of Large Language Models
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models
Artem Vazhentsev
Ekaterina Fadeeva
Rui Xing
Alexander Panchenko
Preslav Nakov
Timothy Baldwin
Maxim Panov
Artem Shelmanov
HILM
66
3
0
20 Aug 2024
SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with
  Augmentation
SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation
Xiao Cao
Beibei Lin
Bo Wang
Zhiyong Huang
Robby T. Tan
74
1
0
17 Aug 2024
Learning to Explore for Stochastic Gradient MCMC
Learning to Explore for Stochastic Gradient MCMC
Seunghyun Kim
Seohyeon Jung
Seonghyeon Kim
Juho Lee
BDL
106
1
0
17 Aug 2024
Predictive uncertainty estimation in deep learning for lung carcinoma
  classification in digital pathology under real dataset shifts
Predictive uncertainty estimation in deep learning for lung carcinoma classification in digital pathology under real dataset shifts
A. Fayjie
Jutika Borah
F. Carbone
Jan Tack
Patrick Vandewalle
OODUQCV
80
2
0
15 Aug 2024
Decoder ensembling for learned latent geometries
Decoder ensembling for learned latent geometries
Stas Syrota
Pablo Moreno-Muñoz
Søren Hauberg
DRLAI4CE
73
2
0
14 Aug 2024
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection
UAHOI: Uncertainty-aware Robust Interaction Learning for HOI Detection
Mu Chen
Minghan Chen
Yi Yang
131
5
0
14 Aug 2024
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural
  Enhancement and Aggregation
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
Junyu Chen
Long Shi
Badong Chen
98
1
0
14 Aug 2024
Quantification of total uncertainty in the physics-informed
  reconstruction of CVSim-6 physiology
Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology
Mario De Florio
Zongren Zou
Daniele E. Schiavazzi
George Karniadakis
64
4
0
13 Aug 2024
Uncertainty Quantification in Alzheimer's Disease Progression Modeling
Uncertainty Quantification in Alzheimer's Disease Progression Modeling
Wael Mobeirek
Shirley Mao
OOD
39
0
0
13 Aug 2024
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
155
7
0
13 Aug 2024
Uncertainty-Informed Volume Visualization using Implicit Neural
  Representation
Uncertainty-Informed Volume Visualization using Implicit Neural Representation
Shanu Saklani
Chitwan Goel
Shrey Bansal
Zhe Wang
Soumya Dutta
Tushar M. Athawale
D. Pugmire
Christopher R. Johnson
104
0
0
12 Aug 2024
Ensemble everything everywhere: Multi-scale aggregation for adversarial
  robustness
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness
Stanislav Fort
Balaji Lakshminarayanan
OODAAML
76
7
0
08 Aug 2024
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion
  Posterior Sampling
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
Jian Xu
Zhiqi Lin
Shigui Li
Min Chen
Junmei Yang
Delu Zeng
John Paisley
BDL
75
0
0
07 Aug 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware
  Defense
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
Qilei Li
A. Abdelmoniem
FedMLAAML
89
0
0
05 Aug 2024
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