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A Simple Baseline for Bayesian Uncertainty in Deep Learning
v1v2 (latest)

A Simple Baseline for Bayesian Uncertainty in Deep Learning

7 February 2019
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

50 / 577 papers shown
Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks
Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks
Alfredo Reichlin
Miguel Vasco
Danica Kragic
BDLUQCV
270
0
0
01 Dec 2025
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
Xiaoqing Wang
Keman Huang
Bin Liang
Hongyu Li
Xiaoyong Du
LLMAGAAML
267
1
0
23 Nov 2025
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
Wei-Kai Chang
Rajiv Khanna
230
0
0
21 Nov 2025
MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support
Elias Hossain
Md Mehedi Hasan Nipu
Maleeha Sheikh
R. Rana
Subash Neupane
Niloofar Yousefi
MULM&MAMedIm
212
0
0
20 Nov 2025
ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
Jingwei Ni
Ekaterina Fadeeva
Tianyi Wu
Mubashara Akhtar
Jiaheng Zhang
...
Markus Leippold
Timothy Baldwin
See-Kiong Ng
Artem Shelmanov
Mrinmaya Sachan
ReLMLRM
309
0
0
09 Nov 2025
Distillation-Accelerated Uncertainty Modeling for Multi-Objective RTA Interception
Distillation-Accelerated Uncertainty Modeling for Multi-Objective RTA Interception
Gaoxiang Zhao
Ruina Qiu
Pengpeng Zhao
Rongjin Wang
Zhangang Lin
Xiaoqiang Wang
116
0
0
05 Nov 2025
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging
I Detect What I Don't Know: Incremental Anomaly Learning with Stochastic Weight Averaging-Gaussian for Oracle-Free Medical Imaging
Nand Kumar Yadav
Rodrigue Rizk
William CW Chen
KC Santosh
MedIm
311
0
0
05 Nov 2025
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
Ferhat Ozgur Catak
Jungwon Seo
Umit Cali
136
1
0
04 Nov 2025
Efficiently Training A Flat Neural Network Before It has been Quantizated
Efficiently Training A Flat Neural Network Before It has been Quantizated
Peng Xia
Junbiao Pang
Tianyang Cai
MQ
168
0
0
03 Nov 2025
VIKING: Deep variational inference with stochastic projections
VIKING: Deep variational inference with stochastic projections
Samuel G. Fadel
Hrittik Roy
Nicholas Krämer
Yevgen Zainchkovskyy
Stas Syrota
Alejandro Valverde Mahou
Carl Henrik Ek
Søren Hauberg
BDLOOD
370
0
0
27 Oct 2025
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
S. Yu
Dongjun Nam
Dina Katabi
Jeany Son
174
1
0
26 Oct 2025
Functional Distribution Networks (FDN)
Functional Distribution Networks (FDN)
Omer Haq
UQCV
356
0
0
20 Oct 2025
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
D. Bhattacharjya
Balaji Ganesan
Junkyu Lee
Radu Marinescu
Katsiaryna Mirylenka
Michael R. Glass
Xiao Shou
161
0
0
10 Oct 2025
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
A Median Perspective on Unlabeled Data for Out-of-Distribution Detection
Momin Abbas
Ali Falahati
Hossein Goli
Mohammad Mohammadi Amiri
202
2
0
07 Oct 2025
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Kevin Raina
T. Schmah
BDL
189
0
0
07 Oct 2025
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
Koen Vellenga
H. Steinhauer
Jonas Andersson
Anders Sjögren
175
1
0
06 Oct 2025
The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters
The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters
Scott Koermer
Natalie Klein
205
0
0
24 Sep 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
Zhizhong Zhao
Ke Chen
UQCV
329
0
0
16 Sep 2025
Kalman Bayesian Transformer
Kalman Bayesian Transformer
Haoming Jing
Oren Wright
J. M. F. Moura
Yorie Nakahira
BDL
233
0
0
12 Sep 2025
Does Calibration Affect Human Actions?
Does Calibration Affect Human Actions?
Meir Nizri
A. Azaria
Chirag Gupta
Noam Hazon
HAI
122
2
0
23 Aug 2025
Uncertainty Tube Visualization of Particle Trajectories
Uncertainty Tube Visualization of Particle Trajectories
Jixian Li
Timbwaoga Aime Judicael Ouermi
Mengjiao Han
C. R. Johnson
135
0
0
19 Aug 2025
PEdger++: Practical Edge Detection via Assembling Cross Information
PEdger++: Practical Edge Detection via Assembling Cross Information
Yuanbin Fu
Liang Li
Xiaojie Guo
238
0
0
16 Aug 2025
Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
Zihan Fang
Zheng Lin
Senkang Hu
Yihang Tao
Yiqin Deng
Xianhao Chen
Yuguang Fang
243
15
0
12 Aug 2025
Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
Simon Baur
Wojciech Samek
Jackie Ma
UQCV
317
1
0
06 Aug 2025
Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
Anna M. Wundram
Christian F. Baumgartner
239
0
0
04 Aug 2025
OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS
Han Ling
Xian Xu
Yinghui Sun
Quansen Sun
164
1
0
02 Aug 2025
A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
Yidong Chai
Yang Liu
Yonghang Zhou
Jiaheng Xie
Daniel Zeng
212
0
0
31 Jul 2025
Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations
Sofianos Panagiotis Fotias
Vassilis Gaganis
276
0
0
29 Jul 2025
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
Kyung-Hwan Lee
Kyung-Tae Kim
250
0
0
21 Jul 2025
Better Training Data Attribution via Better Inverse Hessian-Vector Products
Better Training Data Attribution via Better Inverse Hessian-Vector Products
Andrew Wang
Elisa Nguyen
Runshi Yang
Juhan Bae
Sheila A. McIlraith
Roger C. Grosse
TDI
408
6
0
19 Jul 2025
Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency Alignment
Cross-Resolution SAR Target Detection Using Structural Hierarchy Adaptation and Reliable Adjacency AlignmentIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Jiang Qin
B. Zou
Haolin Li
Lamei Zhang
230
2
0
11 Jul 2025
Where are we with calibration under dataset shift in image classification?
Where are we with calibration under dataset shift in image classification?
Mélanie Roschewitz
Raghav Mehta
Fabio De Sousa Ribeiro
Ben Glocker
321
4
0
10 Jul 2025
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging
Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
307
0
0
01 Jul 2025
Low-rank variational dropout: Rank selection and uncertainty in adapters
Low-rank variational dropout: Rank selection and uncertainty in adapters
Cooper Doyle
Rebecca Chan
Andy Hu
Anna Leontjeva
UQCVBDL
240
0
0
28 Jun 2025
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
Lennart Bramlage
Cristóbal Curio
UQCV
312
1
0
01 Jun 2025
Variational Deep Learning via Implicit Regularization
Variational Deep Learning via Implicit Regularization
Jonathan Wenger
Beau Coker
Juraj Marusic
John P. Cunningham
OODUQCVFedML
363
1
0
26 May 2025
RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks
RADEP: A Resilient Adaptive Defense Framework Against Model Extraction AttacksInternational Conference on Wireless Communications and Mobile Computing (IWCMC), 2025
Amit Chakraborty
Sayyed Farid Ahamed
Sandip Roy
S. Banerjee
Kevin Choi
A. Rahman
Alison Hu
Edward Bowen
Sachin Shetty
AAML
278
0
0
25 May 2025
Bayesian Deep Learning for Discrete Choice
Bayesian Deep Learning for Discrete Choice
Daniel F. Villarraga
Ricardo A. Daziano
BDLAI4CE
634
0
0
23 May 2025
Generative AI for Autonomous Driving: A Review
Generative AI for Autonomous Driving: A Review
Katharina Winter
Abhishek Vivekanandan
Rupert Polley
Yinzhe Shen
Christian Schlauch
...
J. Dietrich
Omer Sahin Tas
Nadja Klein
Fabian B. Flohr
Hanno Gottschalk
499
4
0
21 May 2025
Are vision language models robust to uncertain inputs?
Are vision language models robust to uncertain inputs?
Xi Wang
Eric Nalisnick
AAMLVLM
457
1
0
17 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles
Andrew Millard
Zheng Zhao
Joshua Murphy
Simon Maskell
UQCVBDL
359
0
0
16 May 2025
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
Andrew Millard
Joshua Murphy
Simon Maskell
Zheng Zhao
BDL
315
0
0
01 May 2025
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
William R. Keely
Otto Lamminpää
Steffen Mauceri
Sean M. R. Crowell
Christopher W. O'Dell
Gregory R. McGarragh
536
0
0
23 Apr 2025
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
Duy Nguyen
Quan Huu Do
Khoa D. Doan
Minh N. Do
321
0
0
18 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
J. Dietrich
Nadja Klein
436
6
0
17 Apr 2025
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile RegressionMeasurement and Modeling of Computer Systems (SIGMETRICS), 2025
Yixuan Zhang
Dongyan
Yudong Chen
Qiaomin Xie
361
2
0
11 Apr 2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCVMedIm
426
5
0
10 Apr 2025
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
Jonas Teufel
Annika Leinweber
Pascal Friederich
465
4
0
03 Apr 2025
Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning
Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning
Robert Chew
Matthew R. Williams
Elan A. Segarra
Alexander J. Preiss
Amanda Konet
T. Savitsky
282
0
0
27 Mar 2025
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing
Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing
Fabian Denoodt
José Oramas
UQCV
426
0
0
19 Mar 2025
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