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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
DADEE: Well-calibrated uncertainty quantification in neural networks for
  barriers-based robot safety
DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety
Masoud Ataei
Vikas Dhiman
62
0
0
30 Jun 2024
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
D. Wu
Nikki Lijing Kuang
Ruijia Niu
Yi-An Ma
Rose Yu
107
0
0
30 Jun 2024
Pairwise Difference Learning for Classification
Pairwise Difference Learning for Classification
Mohamed Karim Belaid
Maximilian Rabus
Eyke Hüllermeier
80
2
0
28 Jun 2024
Unified Uncertainties: Combining Input, Data and Model Uncertainty into
  a Single Formulation
Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation
Matias Valdenegro-Toro
Ivo Pascal de Jong
Marco Zullich
UD
65
3
0
26 Jun 2024
Conformalized Link Prediction on Graph Neural Networks
Conformalized Link Prediction on Graph Neural Networks
Tianyi Zhao
Jian Kang
Lu Cheng
207
8
0
26 Jun 2024
Preference Elicitation for Offline Reinforcement Learning
Preference Elicitation for Offline Reinforcement Learning
Alizée Pace
Bernhard Schölkopf
Gunnar Rätsch
Giorgia Ramponi
OffRL
140
1
0
26 Jun 2024
Domain Adaptation of Echocardiography Segmentation Via Reinforcement
  Learning
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning
Arnaud Judge
Thierry Judge
Nicolas Duchateau
Roman A. Sandler
Joseph Z. Sokol
Olivier Bernard
Pierre-Marc Jodoin
OOD
61
0
0
25 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
136
23
0
24 Jun 2024
Improving robustness to corruptions with multiplicative weight
  perturbations
Improving robustness to corruptions with multiplicative weight perturbations
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
83
0
0
24 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and
  Out-of-Distribution Detection
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
106
0
0
23 Jun 2024
Bayesian neural networks for predicting uncertainty in full-field
  material response
Bayesian neural networks for predicting uncertainty in full-field material response
G. Pasparakis
Lori Graham-Brady
Michael D. Shields
AI4CE
90
4
0
21 Jun 2024
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA
Hao Mark Chen
Liam Castelli
Martin Ferianc
Hongyu Zhou
Shuanglong Liu
Wayne Luk
Hongxiang Fan
80
0
0
20 Jun 2024
Trusting Semantic Segmentation Networks
Trusting Semantic Segmentation Networks
Samik Some
Vinay P. Namboodiri
UQCV
91
0
0
20 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve
  pseudo-labeling
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Nabeel Seedat
Nicolas Huynh
F. Imrie
Mihaela van der Schaar
82
3
0
19 Jun 2024
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
Md. Ibrahim Ibne Alam
Parikshit Ram
Soham Dan
Horst Samulowitz
Koushik Kar
75
0
0
19 Jun 2024
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning
Wei Xiao
Tsun-Hsuan Wang
Daniela Rus
OffRL
89
1
0
18 Jun 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
170
2
0
17 Jun 2024
Exploiting Diffusion Prior for Out-of-Distribution Detection
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu
Jiabei Liu
Keqin Li
Shuying Dai
Bo Hong
Peng Zhao
Changsong Wei
119
9
0
16 Jun 2024
Evidential Uncertainty Sets in Deep Classifiers Using Conformal
  Prediction
Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction
Hamed Karimi
Reza Samavi
BDLEDLUQCV
63
2
0
16 Jun 2024
A Rate-Distortion View of Uncertainty Quantification
A Rate-Distortion View of Uncertainty Quantification
Ifigeneia Apostolopoulou
Benjamin Eysenbach
Frank Nielsen
Artur Dubrawski
UQCV
107
2
0
16 Jun 2024
Deep Bayesian Active Learning for Preference Modeling in Large Language
  Models
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano C. Melo
P. Tigas
Alessandro Abate
Yarin Gal
122
11
0
14 Jun 2024
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal
  Data
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data
Grigor Bezirganyan
Sana Sellami
Laure Berti-Équille
Sébastien Fournier
81
3
0
14 Jun 2024
Assessment of Uncertainty Quantification in Universal Differential
  Equations
Assessment of Uncertainty Quantification in Universal Differential Equations
Nina Schmid
David Fernandes del Pozo
Willem Waegeman
Jan Hasenauer
AI4CE
133
1
0
13 Jun 2024
Personalized Product Assortment with Real-time 3D Perception and
  Bayesian Payoff Estimation
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
Porter Jenkins
Michael Selander
J. S. Jenkins
Andrew Merrill
Kyle Armstrong
49
1
0
11 Jun 2024
Conformalized Teleoperation: Confidently Mapping Human Inputs to
  High-Dimensional Robot Actions
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
Michelle Zhao
Reid G. Simmons
H. Admoni
Andrea Bajcsy
88
4
0
11 Jun 2024
Treeffuser: Probabilistic Predictions via Conditional Diffusions with
  Gradient-Boosted Trees
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees
Nicolas Beltran-Velez
Alessandro Antonio Grande
Achille Nazaret
A. Kucukelbir
David M. Blei
95
3
0
11 Jun 2024
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver
Daniel Lersch
Malachi Schram
Zhenyu Dai
Kishansingh Rajput
Xingfu Wu
Nobuo Sato
J. T. Childers
74
0
0
11 Jun 2024
Merging Improves Self-Critique Against Jailbreak Attacks
Merging Improves Self-Critique Against Jailbreak Attacks
Victor Gallego
AAMLMoMe
93
4
0
11 Jun 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
Beyond the Norms: Detecting Prediction Errors in Regression Models
A. Altieri
Marco Romanelli
Georg Pichler
F. Alberge
Pablo Piantanida
87
0
0
11 Jun 2024
Sparse Bayesian Networks: Efficient Uncertainty Quantification in
  Medical Image Analysis
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis
Zeinab Abboud
Herve Lombaert
Samuel Kadoury
UQCV
143
1
0
11 Jun 2024
Robust quantum dots charge autotuning using neural networks uncertainty
Robust quantum dots charge autotuning using neural networks uncertainty
Victor Yon
Bastien Galaup
Claude Rohrbacher
J. Rivard
Clément Godfrin
...
Louis Gaudreau
Eva Dupont-Ferrier
Y. Beilliard
R. Melko
Dominique Drouin
121
1
0
07 Jun 2024
Uncertainty Aware Learning for Language Model Alignment
Uncertainty Aware Learning for Language Model Alignment
Yikun Wang
Rui Zheng
Liang Ding
Qi Zhang
Dahua Lin
Dacheng Tao
118
5
0
07 Jun 2024
Predictive Dynamic Fusion
Predictive Dynamic Fusion
Bing Cao
Yinan Xia
Yi Ding
Changqing Zhang
Qinghua Hu
83
11
0
07 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification
Confidence-aware Contrastive Learning for Selective Classification
Yu-Chang Wu
Shen-Huan Lyu
Haopu Shang
Xiangyu Wang
Chao Qian
82
3
0
07 Jun 2024
Winner-takes-all learners are geometry-aware conditional density
  estimators
Winner-takes-all learners are geometry-aware conditional density estimators
Victor Letzelter
David Perera
Cédric Rommel
Mathieu Fontaine
S. Essid
Gael Richard
Patrick Pérez
57
4
0
07 Jun 2024
MeGA: Merging Multiple Independently Trained Neural Networks Based on
  Genetic Algorithm
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
Daniel Yun
FedMLMoMe
63
1
0
07 Jun 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with
  Short-Range FMCW Radar
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
79
3
0
06 Jun 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
F. V. Massoli
Tim Bakker
Thomas M. Hehn
Tribhuvanesh Orekondy
Arash Behboodi
110
0
0
06 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image
  Segmentation: Unveiling the Role of Confidence Aggregation
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
M. Zenk
David Zimmerer
Hyunjin Park
Jeremias Traub
T. Norajitra
Paul F. Jäger
Klaus H. Maier-Hein
110
4
0
05 Jun 2024
Shedding Light on Large Generative Networks: Estimating Epistemic
  Uncertainty in Diffusion Models
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models
Lucas Berry
Axel Brando
David Meger
109
7
0
05 Jun 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of
  LLMs
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Shuang Ao
Stefan Rueger
Advaith Siddharthan
67
2
0
05 Jun 2024
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
T. Pouplin
Alan Jeffares
Nabeel Seedat
Mihaela van der Schaar
476
3
0
05 Jun 2024
Reparameterization invariance in approximate Bayesian inference
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy
M. Miani
Carl Henrik Ek
Philipp Hennig
Marvin Pfortner
Lukas Tatzel
Søren Hauberg
BDL
135
9
0
05 Jun 2024
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Ng
Roger C. Grosse
Marzyeh Ghassemi
75
0
0
04 Jun 2024
To Believe or Not to Believe Your LLM
To Believe or Not to Believe Your LLM
Yasin Abbasi-Yadkori
Ilja Kuzborskij
András György
Csaba Szepesvári
UQCV
173
62
0
04 Jun 2024
Decoupling of neural network calibration measures
Decoupling of neural network calibration measures
D. Wolf
Prasannavenkatesh Balaji
Alexander Braun
Markus Ulrich
UQCV
91
4
0
04 Jun 2024
Composite Quantile Regression With XGBoost Using the Novel Arctan
  Pinball Loss
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss
Laurens Sluijterman
Frank Kreuwel
Eric Cator
Tom Heskes
MQ
86
2
0
04 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with
  Temporal Imputation
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Min-man Wu
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTAAI4TS
120
3
0
04 Jun 2024
Orthogonal Causal Calibration
Orthogonal Causal Calibration
Justin Whitehouse
Christopher Jung
Vasilis Syrgkanis
Bryan Wilder
Zhiwei Steven Wu
CML
185
1
0
04 Jun 2024
Diffusion Boosted Trees
Diffusion Boosted Trees
Xizewen Han
Mingyuan Zhou
AI4CE
121
0
0
03 Jun 2024
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