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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
Quantifying Uncertainty in Motion Prediction with Variational Bayesian
  Mixture
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
Juanwu Lu
Can Cui
Yunsheng Ma
Aniket Bera
Ziran Wang
80
3
0
04 Apr 2024
Mitigating LLM Hallucinations via Conformal Abstention
Mitigating LLM Hallucinations via Conformal Abstention
Yasin Abbasi-Yadkori
Ilja Kuzborskij
David Stutz
András György
Adam Fisch
...
Wei-Hung Weng
Yao-Yuan Yang
Csaba Szepesvári
A. Cemgil
Nenad Tomašev
HILM
88
19
0
04 Apr 2024
Uncertainty in Language Models: Assessment through Rank-Calibration
Uncertainty in Language Models: Assessment through Rank-Calibration
Xinmeng Huang
Shuo Li
Mengxin Yu
Matteo Sesia
Hamed Hassani
Insup Lee
Osbert Bastani
Yan Sun
97
20
0
04 Apr 2024
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural
  Epistemic Operator Networks
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks
Leonardo Ferreira Guilhoto
P. Perdikaris
BDL
90
2
0
03 Apr 2024
On-line conformalized neural networks ensembles for probabilistic
  forecasting of day-ahead electricity prices
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
A. Brusaferri
A. Ballarino
Luigi Grossi
F. Laurini
AI4TS
93
3
0
03 Apr 2024
On the Importance of Uncertainty in Decision-Making with Large Language
  Models
On the Importance of Uncertainty in Decision-Making with Large Language Models
Nicolò Felicioni
Lucas Maystre
Sina Ghiassian
K. Ciosek
LLMAG
107
2
0
03 Apr 2024
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction
A. Young
Fei Wang
D. Wishart
Bo Wang
Hannes L. Röst
Russell Greiner
84
5
0
02 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for
  Robot Manipulation
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou
Ana C. Murillo
Ruben Martinez-Cantin
OffRL
95
0
0
02 Apr 2024
EventSleep: Sleep Activity Recognition with Event Cameras
EventSleep: Sleep Activity Recognition with Event Cameras
Carlos Plou
Nerea Gallego
Alberto Sabater
Eduardo Montijano
Pablo Urcola
Luis Montesano
Ruben Martinez-Cantin
Ana C. Murillo
68
1
0
02 Apr 2024
NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented
  Camera Pose Regressor and Uncertainty Quantification
NVINS: Robust Visual Inertial Navigation Fused with NeRF-augmented Camera Pose Regressor and Uncertainty Quantification
Juyeop Han
Lukas Lao Beyer
G. V. Cavalheiro
S. Karaman
113
2
0
01 Apr 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud
  Semantic Segmentation
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
Jinfeng Xu
Siyuan Yang
Xianzhi Li
Yuan Tang
Yixue Hao
Long Hu
Min Chen
3DPC3DV
61
3
0
01 Apr 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
97
0
0
31 Mar 2024
Neural Radiance Field-based Visual Rendering: A Comprehensive Review
Neural Radiance Field-based Visual Rendering: A Comprehensive Review
Mingyuan Yao
Yukang Huo
Yang Ran
Qingbin Tian
Ruifeng Wang
Haihua Wang
AI4CE
84
9
0
31 Mar 2024
LUQ: Long-text Uncertainty Quantification for LLMs
LUQ: Long-text Uncertainty Quantification for LLMs
Caiqi Zhang
Fangyu Liu
Marco Basaldella
Nigel Collier
HILM
86
40
0
29 Mar 2024
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Qi Bi
Shaodi You
Theo Gevers
98
1
0
29 Mar 2024
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
On Uncertainty Quantification for Near-Bayes Optimal Algorithms
Ziyu Wang
Chris Holmes
UQCV
105
3
0
28 Mar 2024
Uncertainty-Aware Deep Video Compression with Ensembles
Uncertainty-Aware Deep Video Compression with Ensembles
Wufei Ma
Jiahao Li
Bin Li
Yan Lu
61
10
0
28 Mar 2024
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep
  Learning: A Bayesian Deep Learning Approach
Improving Cancer Imaging Diagnosis with Bayesian Networks and Deep Learning: A Bayesian Deep Learning Approach
Pei Xi Lin
Lin
MedIm
23
0
0
28 Mar 2024
Modeling uncertainty for Gaussian Splatting
Modeling uncertainty for Gaussian Splatting
L. S. Aira
D. Valsesia
E. Magli
UQCV3DGS
87
5
0
27 Mar 2024
Road Obstacle Detection based on Unknown Objectness Scores
Road Obstacle Detection based on Unknown Objectness Scores
Chihiro Noguchi
T. Ohgushi
Masao Yamanaka
51
2
0
27 Mar 2024
Sanity Checks for Explanation Uncertainty
Sanity Checks for Explanation Uncertainty
Matias Valdenegro-Toro
Mihir Mulye
FAtt
93
0
0
25 Mar 2024
Bridging the Sim-to-Real Gap with Bayesian Inference
Bridging the Sim-to-Real Gap with Bayesian Inference
Jonas Rothfuss
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
AI4CE
98
4
0
25 Mar 2024
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
Busra Asan
Abdullah Akgul
Alper Unal
M. Kandemir
Gözde B. Ünal
BDLAI4TS
89
0
0
25 Mar 2024
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for
  Medical Image Segmentation
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation
Kudaibergen Abutalip
Numan Saeed
I. Sobirov
Vincent Andrearczyk
Adrien Depeursinge
Mohammad Yaqub
UQCV
52
0
0
25 Mar 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks
Uncertainty Quantification for Gradient-based Explanations in Neural Networks
Mihir Mulye
Matias Valdenegro-Toro
UQCVFAtt
120
0
0
25 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
125
7
0
25 Mar 2024
Enabling Uncertainty Estimation in Iterative Neural Networks
Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov
Doruk Öner
Jonathan Donier
Hieu M. Le
Pascal Fua
UQCV
240
9
0
25 Mar 2024
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Chenhui Xu
Fuxun Yu
Zirui Xu
Nathan Inkawhich
Xiang Chen
OODD
86
6
0
24 Mar 2024
Deep Gaussian Covariance Network with Trajectory Sampling for
  Data-Efficient Policy Search
Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search
Can Bogoclu
Robert Vosshall
K. Cremanns
Dirk Roos
BDL
54
1
0
23 Mar 2024
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based
  Adaptive Cruise Control
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control
Xiao Li
H. E. Tseng
Anouck Girard
Ilya Kolmanovsky
74
2
0
22 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
Marc Pouly
Alexander A. Navarini
85
2
0
22 Mar 2024
Evidential Semantic Mapping in Off-road Environments with
  Uncertainty-aware Bayesian Kernel Inference
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference
Junyoung Kim
Junwon Seo
Jihong Min
UQCV
96
5
0
21 Mar 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers
Anh-Vu Bui
Vy Vo
Tung Pham
Dinh Q. Phung
Trung Le
FedMLUQCV
72
1
0
19 Mar 2024
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy
  Segmentation
Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation
Rachaell Nihalaani
Tushar Kataria
Jadie Adams
Shireen Y. Elhabian
69
1
0
18 Mar 2024
Posterior Uncertainty Quantification in Neural Networks using Data
  Augmentation
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
Luhuan Wu
Sinead Williamson
UQCV
91
7
0
18 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression
Probabilistic Calibration by Design for Neural Network Regression
Victor Dheur
Souhaib Ben Taieb
187
4
0
18 Mar 2024
Function-space Parameterization of Neural Networks for Sequential
  Learning
Function-space Parameterization of Neural Networks for Sequential Learning
Aidan Scannell
Riccardo Mereu
Paul E. Chang
Ella Tamir
Joni Pajarinen
Arno Solin
BDL
92
5
0
16 Mar 2024
Enhancing Out-of-Distribution Detection with Multitesting-based
  Layer-wise Feature Fusion
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
Jiawei Li
Sitong Li
Shanshan Wang
Yicheng Zeng
Falong Tan
Chuanlong Xie
OODD
108
1
0
16 Mar 2024
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data
  in Text-Image Encoders
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
Andrew Geng
Pin-Yu Chen
OODD
87
1
0
16 Mar 2024
Using Uncertainty Quantification to Characterize and Improve
  Out-of-Domain Learning for PDEs
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
S. C. Mouli
Danielle C. Maddix
S. Alizadeh
Gaurav Gupta
Andrew Stuart
Michael W. Mahoney
Yuyang Wang
UQCVAI4CE
74
5
0
15 Mar 2024
Explainability through uncertainty: Trustworthy decision-making with
  neural networks
Explainability through uncertainty: Trustworthy decision-making with neural networks
Arthur Thuy
Dries F. Benoit
98
15
0
15 Mar 2024
Uncertainty Quantification for cross-subject Motor Imagery
  classification
Uncertainty Quantification for cross-subject Motor Imagery classification
Prithviraj Manivannan
Ivo Pascal de Jong
Matias Valdenegro-Toro
A. Sburlea
UQCV
77
1
0
14 Mar 2024
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
Feras A. Saad
Jacob Burnim
Colin Carroll
Brian Patton
Urs Köster
Rif A. Saurous
Matthew Hoffman
BDLAI4TSAI4CE
66
9
0
12 Mar 2024
Open-World Semantic Segmentation Including Class Similarity
Open-World Semantic Segmentation Including Class Similarity
Matteo Sodano
Federico Magistri
Lucas Nunes
Jens Behley
C. Stachniss
VLM
71
8
0
12 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Alexander Timans
C. Straehle
K. Sakmann
Eric T. Nalisnick
83
10
0
12 Mar 2024
Koopman Ensembles for Probabilistic Time Series Forecasting
Koopman Ensembles for Probabilistic Time Series Forecasting
Anthony Frion
Lucas Drumetz
Guillaume Tochon
M. Dalla Mura
Albdeldjalil Aissa El Bey
AI4TS
50
0
0
11 Mar 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
141
10
0
11 Mar 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep
  Variational Bayes Approach
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
Juanwu Lu
Wei Zhan
Masayoshi Tomizuka
Yeping Hu
OODBDL
85
3
0
10 Mar 2024
Detectors for Safe and Reliable LLMs: Implementations, Uses, and
  Limitations
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations
Swapnaja Achintalwar
Adriana Alvarado Garcia
Ateret Anaby-Tavor
Ioana Baldini
Sara E. Berger
...
Aashka Trivedi
Kush R. Varshney
Dennis L. Wei
Shalisha Witherspooon
Marcel Zalmanovici
96
11
0
09 Mar 2024
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Unified Uncertainty Estimation for Cognitive Diagnosis Models
Fei-Yue Wang
Qi Liu
Enhong Chen
Chuanren Liu
Zhenya Huang
Jinze Wu
Shijin Wang
111
4
0
09 Mar 2024
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