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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 / 3,224 papers shown

Title
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 552 0 0 27 Feb 2025
Physics-Based Hybrid Machine Learning for Critical Heat Flux Prediction with Uncertainty Quantification Aidan Furlong Xingang Zhao Robert Salko Xu Wu AI4CE 95 0 0 26 Feb 2025
Uncertainty Quantification in Retrieval Augmented Question Answering Laura Perez-Beltrachini Mirella Lapata RALM 157 0 0 25 Feb 2025
Multi-label out-of-distribution detection via evidential learning Eduardo Aguilar Bogdan Raducanu Petia Radeva OODD 101 1 0 25 Feb 2025
Uncertainty-aware abstention in medical diagnosis based on medical texts Artem Vazhentsev Ivan Sviridov Alvard Barseghyan Gleb Kuzmin Alexander Panchenko A. Nesterov Artem Shelmanov Maxim Panov 137 0 0 25 Feb 2025
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets B. Sun P. Liò 110 0 0 25 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 252 4 0 24 Feb 2025
Predicting gene essentiality and drug response from perturbation screens in preclinical cancer models with LEAP: Layered Ensemble of Autoencoders and Predictors Barbara Bodinier Gaetan Dissez Linus Bleistein Antonin Dauvin 93 0 0 24 Feb 2025
Robust Confinement State Classification with Uncertainty Quantification through Ensembled Data-Driven Methods Y. Poels Cristina Venturini Alessandro Pau Olivier Sauter Vlado Menkovski TCV Team WPTE team 150 2 0 24 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 167 0 0 24 Feb 2025
The Empirical Impact of Reducing Symmetries on the Performance of Deep Ensembles and MoE Andrei Chernov Oleg Novitskij 146 0 0 24 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 117 2 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 199 9 0 24 Feb 2025
A calibration test for evaluating set-based epistemic uncertainty representations Mira Jürgens Thomas Mortier Eyke Hüllermeier Viktor Bengs Willem Waegeman 103 1 0 22 Feb 2025
Mixup Regularization: A Probabilistic Perspective Yousef El-Laham Niccolò Dalmasso Svitlana Vyetrenko Vamsi K. Potluru Manuela Veloso 108 0 0 19 Feb 2025
CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models Nikolaos Dionelis Jente Bosmans Nicolas Longépé 218 0 0 19 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 529 2 0 17 Feb 2025
AI Generations: From AI 1.0 to AI 4.0 Jiahao Wu Hengxu You Jing Du AI4TS 52 0 0 16 Feb 2025
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 167 5 0 16 Feb 2025
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression Megh Shukla Aziz Shameem Mathieu Salzmann Alexandre Alahi 100 1 0 14 Feb 2025
Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection Zhiyong Yang Kehan Wang Yuhang Ming Yong Peng Han Yang Qiong Chen Wanzeng Kong 135 0 0 12 Feb 2025
DeepVL: Dynamics and Inertial Measurements-based Deep Velocity Learning for Underwater Odometry Mohit Singh Kostas Alexis 145 0 0 11 Feb 2025
Conditional Distribution Quantization in Machine Learning Blaise Delattre Sylvain Delattre Alexandre Verine Alexandre Allauzen 204 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 191 1 0 10 Feb 2025
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks Emanuel Sommer Jakob Robnik Giorgi Nozadze U. Seljak David Rügamer BDL UQCV 139 2 0 10 Feb 2025
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Amir El-Ghoussani Vasileios Belagiannis UQCV 88 0 0 09 Feb 2025
(GG) MoE vs. MLP on Tabular Data Andrei Chernov BDL MoE 145 1 0 05 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 174 2 0 05 Feb 2025
Optimal Subspace Inference for the Laplace Approximation of Bayesian Neural Networks Josua Faller Jörg Martin BDL 153 0 0 04 Feb 2025
Bayesian Approximation-Based Trajectory Prediction and Tracking with 4D Radar Dong-In Kim Dong-Hee Paek Seung-Hyun Song Seung-Hyun Kong 95 0 0 03 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Wenlin Yao 212 1 0 01 Feb 2025
Ensembles of Low-Rank Expert Adapters Yinghao Li Vianne Gao Chao Zhang MohamadAli Torkamani 162 0 0 31 Jan 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 219 0 0 30 Jan 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 132 1 0 30 Jan 2025
Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios Ciaran Bench Emir Ahmed Spencer A. Thomas MedIm 96 0 0 29 Jan 2025
A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal Muhammad Mubashar Kaizheng Wang Fabio Cuzzolin UQCV 116 3 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 226 13 0 28 Jan 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 113 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 264 14 0 28 Jan 2025
HopCast: Calibration of Autoregressive Dynamics Models Muhammad Bilal Shahid Cody H. Fleming UQCV 155 0 0 27 Jan 2025
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation Estanislao Claucich Sara Hooker Diego H. Milone Enzo Ferrante Rodrigo Echeveste FedML 103 0 0 24 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 455 0 0 23 Jan 2025
Boosting MCTS with Free Energy Minimization Mawaba Pascal Dao Adrian Peter 148 0 0 22 Jan 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 118 0 0 21 Jan 2025
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective Xueqiong Yuan Jipeng Li E. Kuruoglu UQCV BDL 151 0 0 21 Jan 2025
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification Michael Schulze Nikolas Ebert Laurenz Reichardt Oliver Wasenmüller UQCV 107 0 0 20 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 165 4 0 20 Jan 2025
Reliable Text-to-SQL with Adaptive Abstention Kaiwen Chen Yueting Chen Xiaohui Yu Nick Koudas RALM 86 2 0 18 Jan 2025
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation Yannik Frisch Christina Bornberg Moritz Fuchs Anirban Mukhopadhyay MedIm 72 0 0 18 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 155 2 0 17 Jan 2025