Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

5 December 2016

Balaji Lakshminarayanan

Alexander Pritzel

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

50 / 141 papers shown

Title
Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation Siddharth Ancha Sunshine Jiang Travis Manderson Laura Brandt Yilun Du Philip R. Osteen Nicholas Roy 242 0 0 28 May 2025
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors Baraa Hikal Mohamed Basem Islam Oshallah Ali Hamdi LRM 97 0 0 24 May 2025
Bayesian Deep Learning for Discrete Choice Daniel F. Villarraga Ricardo A. Daziano BDL AI4CE 153 0 0 23 May 2025
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning Junhong Lin Xinyue Zeng Jie Zhu Song Wang Julian Shun Jun Wu Dawei Zhou LRM 148 0 0 22 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 218 1 0 22 May 2025
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Panagiotis Lymperopoulos Vasanth Sarathy 94 0 0 22 May 2025
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 200 2 0 16 May 2025
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 116 0 0 16 May 2025
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model Timo Kaiser Thomas Norrenbrock Bodo Rosenhahn 131 0 0 08 May 2025
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 173 0 0 23 Apr 2025
Adversarial Training of Reward Models Alexander Bukharin Haifeng Qian Shengyang Sun Adithya Renduchintala Soumye Singhal Ziyi Wang Oleksii Kuchaiev Olivier Delalleau T. Zhao AAML 149 2 0 08 Apr 2025
Probabilistic Uncertain Reward Model Wangtao Sun Xiang Cheng Xing Yu Haotian Xu Zhao Yang Shizhu He Jun Zhao Kang Liu 133 0 0 28 Mar 2025
Uncertainty Weighted Gradients for Model Calibration Jinxu Lin Linwei Tao Minjing Dong Chang Xu UQCV 126 0 0 26 Mar 2025
Semi-Decision-Focused Learning with Deep Ensembles: A Practical Framework for Robust Portfolio Optimization Juhyeong Kim 139 0 0 16 Mar 2025
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model Moritz A. Zanger Pascal R. van der Vaart Wendelin Bohmer M. Spaan UQCV BDL 458 2 0 14 Mar 2025
Self-Ensembling Gaussian Splatting for Few-Shot Novel View Synthesis Chen Zhao Xuan Wang Tong Zhang Saqib Javed Mathieu Salzmann 3DGS 515 0 0 13 Mar 2025
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies Chen Xu Tony Nguyen Emma Dixon Christopher Rodriguez Patrick Miller Robert Lee Paarth Shah Rares Andrei Ambrus Haruki Nishimura Masha Itkina OffRL 236 3 0 11 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 446 5 0 10 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 233 2 0 04 Mar 2025
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 510 0 0 27 Feb 2025
Towards Robust Probabilistic Modeling on SO(3) via Rotation Laplace Distribution Yingda Yin Jiangran Lyu Yang Wang Heru Wang Hongan Wang Bin Chen OOD 223 4 0 24 Feb 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 Giulia Di Teodoro F. Siciliano V. Guarrasi A. Vandamme Valeria Ghisetti Anders Sönnerborg Maurizio Zazzi Fabrizio Silvestri L. Palagi 180 8 0 24 Feb 2025
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 212 5 0 21 Feb 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 196 0 0 19 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 512 1 0 17 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 150 5 0 16 Feb 2025
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 163 0 0 11 Feb 2025
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Sanket Jantre Tianle Wang Gilchan Park Kriti Chopra Nicholas Jeon Xiaoning Qian Nathan M. Urban Byung-Jun Yoon 146 0 0 10 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 157 1 0 05 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Wenlin Yao 183 0 0 01 Feb 2025
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning Jiang Chang Deekshith Basvoju Aleksandar Vakanski Indrajit Charit Min Xian AI4CE 101 0 0 28 Jan 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks Kaizheng Wang Keivan K1 Shariatmadar Shireen Kudukkil Manchingal Fabio Cuzzolin David Moens Hans Hallez UQCV BDL 235 13 0 28 Jan 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 203 9 0 28 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 126 0 0 27 Jan 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 117 0 0 21 Jan 2025
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing David Perera Victor Letzelter Théo Mariotte Adrien Cortés Mickaël Chen S. Essid Ga¨el Richard 143 3 0 20 Jan 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification Jordan Thompson Ronald Koe Anthony Le Gabriella Goodman Daniel S. Brown Alan Kuntz 137 2 0 17 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 190 0 0 17 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 203 2 0 03 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 226 3 0 03 Jan 2025
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration D. Wolf Alexander Braun Markus Ulrich 250 0 0 18 Dec 2024
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models Boyang Xue Fei Mi Qi Zhu Hongru Wang Rui Wang Sheng Wang Erxin Yu Xuming Hu Kam-Fai Wong HILM 185 2 0 16 Dec 2024
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Haizhou Shi Yibin Wang Ligong Han Huatian Zhang Hao Wang UQCV 196 2 0 07 Dec 2024
Streamlining Prediction in Bayesian Deep Learning Marcus Klasson Talal Alrawajfeh Mikko Heikkilä Martin Trapp UQCV BDL 203 2 0 27 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 258 1 0 25 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 172 1 0 22 Nov 2024
vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter Yitian Shi Edgar Welte Maximilian Gilles Rania Rayyes 131 5 0 06 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 251 11 0 31 Oct 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 137 0 0 30 Oct 2024
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Han Zhou Jordy Van Landeghem Teodora Popordanoska Matthew B. Blaschko 118 3 0 20 Oct 2024