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Sampling-free Epistemic Uncertainty Estimation Using Approximated
  Variance Propagation
v1v2v3 (latest)

Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

1 August 2019
Janis Postels
Francesco Ferroni
Huseyin Coskun
Nassir Navab
Federico Tombari
    UQCVUDPERBDL
ArXiv (abs)PDFHTML

Papers citing "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

47 / 47 papers shown
Title
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
238
9
0
25 Mar 2024
A Framework for Variational Inference of Lightweight Bayesian Neural
  Networks with Heteroscedastic Uncertainties
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
D. Schodt
Ryan Brown
Michael Merritt
Samuel Park
Delsin Menolascino
M. Peot
BDLUQCVUD
96
1
0
22 Feb 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation
  in Semantic Segmentation
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
Kim-Celine Kahl
Carsten T. Lüth
M. Zenk
Klaus Maier-Hein
Paul F. Jaeger
UQCV
116
17
0
16 Jan 2024
Favour: FAst Variance Operator for Uncertainty Rating
Favour: FAst Variance Operator for Uncertainty Rating
Thomas Dybdahl Ahle
Sahar Karimi
Peter Tak Peter Tang
BDL
57
0
0
21 Nov 2023
Uncertainty Quantification for Image-based Traffic Prediction across
  Cities
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
91
1
0
11 Aug 2023
Multi-view 3D Object Reconstruction and Uncertainty Modelling with
  Neural Shape Prior
Multi-view 3D Object Reconstruction and Uncertainty Modelling with Neural Shape Prior
Ziwei Liao
Steven L. Waslander
116
8
0
17 Jun 2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed
  Data
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data
Youlong Ding
Xueyang Wu
Hongya Wang
Weike Pan
109
1
0
28 May 2023
Detection of out-of-distribution samples using binary neuron activation
  patterns
Detection of out-of-distribution samples using binary neuron activation patterns
Bartlomiej Olber
Krystian Radlak
A. Popowicz
Michal Szczepankiewicz
K. Chachula
OODD
60
17
0
29 Dec 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
Nikita Durasov
Nik Dorndorf
Pascal Fua
VLM
69
5
0
21 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for
  Autonomous Driving
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng
Boqi Li
Wen-Hui Yu
Kailiang Yang
Wenbo Shao
Hong Wang
AAML
67
26
0
08 Nov 2022
Unsupervised confidence for LiDAR depth maps and applications
Unsupervised confidence for LiDAR depth maps and applications
Andrea Conti
Matteo Poggi
Filippo Aleotti
S. Mattoccia
3DV
93
12
0
06 Oct 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
Feng Yu
TTA
127
161
0
16 Jun 2022
Tailored Uncertainty Estimation for Deep Learning Systems
Tailored Uncertainty Estimation for Deep Learning Systems
Joachim Sicking
Maram Akila
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Wirtz
Stefan Wrobel
UQCV
79
2
0
29 Apr 2022
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing
  Environments
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments
Shreshth Tuli
G. Casale
N. Jennings
81
21
0
16 Dec 2021
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent
  Variable Model
Dense Uncertainty Estimation via an Ensemble-based Conditional Latent Variable Model
Jing Zhang
Yuchao Dai
Mehrtash Harandi
Yiran Zhong
Nick Barnes
Leonid Sigal
UQCV
65
1
0
22 Nov 2021
Deep Probability Estimation
Deep Probability Estimation
Sheng Liu
Aakash Kaku
Weicheng Zhu
M. Leibovich
S. Mohan
...
Haoxiang Huang
L. Zanna
N. Razavian
Jonathan Niles-Weed
C. Fernandez‐Granda
UQCVOOD
97
14
0
21 Nov 2021
Dense Uncertainty Estimation
Dense Uncertainty Estimation
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
UQCVBDL
139
11
0
13 Oct 2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection
CertainNet: Sampling-free Uncertainty Estimation for Object Detection
Stefano Gasperini
Johannes Haug
M. N. Mahani
Alvaro Marcos-Ramiro
Nassir Navab
Benjamin Busam
F. Tombari
UQCV
44
24
0
04 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization
DEBOSH: Deep Bayesian Shape Optimization
Nikita Durasov
Artem Lukoyanov
Jonathan Donier
Pascal Fua
UQCVAI4CE
105
15
0
28 Sep 2021
Improving Uncertainty of Deep Learning-based Object Classification on
  Radar Spectra using Label Smoothing
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
Kanil Patel
William H. Beluch
K. Rambach
Michael Pfeiffer
B. Yang
UQCV
107
9
0
27 Sep 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks
  with Sparse Gaussian Processes
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseo Lee
Jianxiang Feng
Matthias Humt
M. Müller
Rudolph Triebel
UQCV
92
21
0
20 Sep 2021
Triggering Failures: Out-Of-Distribution detection by learning from
  local adversarial attacks in Semantic Segmentation
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
88
47
0
03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
87
23
0
02 Aug 2021
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic
  Aleatoric Uncertainty Modeling
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling
N. Khanzhina
Alexey Lapenok
Andrey Filchenkov
UQCV
48
4
0
02 Aug 2021
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
Maryam Habibpour
Hassan Gharoun
M. Mehdipour
AmirReza Tajally
Hamzeh Asgharnezhad
Afshar Shamsi Jokandan
Abbas Khosravi
M. Shafie‐khah
S. Nahavandi
J. Catalão
83
49
0
28 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
128
70
0
26 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
242
1,179
0
07 Jul 2021
On the Practicality of Deterministic Epistemic Uncertainty
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels
Mattia Segu
Tao Sun
Luca Sieber
Luc Van Gool
Feng Yu
Federico Tombari
UQCV
109
61
0
01 Jul 2021
Investigation of Uncertainty of Deep Learning-based Object
  Classification on Radar Spectra
Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra
Kanil Patel
William H. Beluch
K. Rambach
Adriana-Eliza Cozma
Michael Pfeiffer
Bin Yang
EDLUQCV
78
5
0
01 Jun 2021
Learning Uncertainty For Safety-Oriented Semantic Segmentation In
  Autonomous Driving
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
Victor Besnier
David Picard
Alexandre Briot
UQCV
55
11
0
28 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
130
58
0
29 Apr 2021
Sampling-free Variational Inference for Neural Networks with
  Multiplicative Activation Noise
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
Jannik Schmitt
Stefan Roth
UQCV
66
6
0
15 Mar 2021
STUaNet: Understanding uncertainty in spatiotemporal collective human
  mobility
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility
Zhengyang Zhou
Yang Wang
Xike Xie
Lei Qiao
Yuantao Li
59
23
0
09 Feb 2021
The Hidden Uncertainty in a Neural Networks Activations
The Hidden Uncertainty in a Neural Networks Activations
Janis Postels
Hermann Blum
Yannick Strümpler
Cesar Cadena
Roland Siegwart
Luc Van Gool
Federico Tombari
UQCV
187
22
0
05 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAMLUQCVEDL
128
227
0
20 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
382
1,952
0
12 Nov 2020
The Aleatoric Uncertainty Estimation Using a Separate Formulation with
  Virtual Residuals
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
Takumi Kawashima
Qing Yu
Akari Asai
Daiki Ikami
Kiyoharu Aizawa
42
6
0
03 Nov 2020
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Perceiving Humans: from Monocular 3D Localization to Social Distancing
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
78
32
0
01 Sep 2020
Survey of XAI in digital pathology
Survey of XAI in digital pathology
Milda Pocevičiūtė
Gabriel Eilertsen
Claes Lundström
80
56
0
14 Aug 2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19
  Diagnosis
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
Afshar Shamsi
Hamzeh Asgharnezhad
Shirin Shamsi Jokandan
Abbas Khosravi
P. Kebria
D. Nahavandi
S. Nahavandi
D. Srinivasan
OOD
131
135
0
26 Jul 2020
Multi-Class Uncertainty Calibration via Mutual Information
  Maximization-based Binning
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning
Kanil Patel
William H. Beluch
Binh Yang
Michael Pfeiffer
Dan Zhang
UQCV
113
34
0
23 Jun 2020
Depth Uncertainty in Neural Networks
Depth Uncertainty in Neural Networks
Javier Antorán
J. Allingham
José Miguel Hernández-Lobato
UQCVOODBDL
125
103
0
15 Jun 2020
Strategy to Increase the Safety of a DNN-based Perception for HAD
  Systems
Strategy to Increase the Safety of a DNN-based Perception for HAD Systems
Timo Sämann
Peter Schlicht
Fabian Hüger
50
15
0
20 Feb 2020
Leveraging Uncertainties for Deep Multi-modal Object Detection in
  Autonomous Driving
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving
Di Feng
Yifan Cao
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
UQCV3DPC
74
23
0
01 Feb 2020
A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance
Luca Della Libera
BDLUQCV
48
1
0
14 Nov 2019
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity
  as a Surrogate
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi
Hao Wang
Yonglong Tian
Hao He
Nir Shavit
UQCV
62
32
0
28 Sep 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
192
1,014
0
21 Feb 2019
1