v1v2 (latest)

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

17 June 2020

Balaji Lakshminarayanan

UQCV

BDL

ArXiv (abs)PDF HTML

Papers citing "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness"

50 / 365 papers shown

Title
Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem Neslihan Kose Anthony Rhodes U. Ciftci Ilke Demir 0 0 0 22 Sep 2025
Flow-Induced Diagonal Gaussian Processes Moule Lin Andrea Patane Weipeng Jing Shuhao Guan Goetz Botterweck 4 0 0 21 Sep 2025
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning Zhizhong Zhao Ke Chen UQCV 46 0 0 16 Sep 2025
A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics Trusting Inekwe Emmanuel Agu Winnie Mkandawire Andres Colubri 20 0 0 01 Sep 2025
Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations Ha Min Son Zhe Zhao Shahbaz Rezaei Xin Liu 12 0 0 29 Aug 2025
Distance-informed Neural Processes Aishwarya Venkataramanan Joachim Denzler UQCV BDL 60 0 0 26 Aug 2025
Probability Density from Latent Diffusion Models for Out-of-Distribution Detection Joonas Järve Karl Kaspar Haavel Meelis Kull 48 0 0 21 Aug 2025
A Simple and Effective Method for Uncertainty Quantification and OOD Detection Yaxin Ma Benjamin Colburn José C. Príncipe UQCV BDL 71 0 0 01 Aug 2025
Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models Aaron Ho Lorenzo Zanisi Bram de Leeuw Vincent Galvan Pablo Rodriguez-Fernandez Nathaniel T. Howard 52 0 0 21 Jul 2025
Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks Kyung-Hwan Lee Kyung-Tae Kim 39 0 0 21 Jul 2025
Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning Maximilian Wendlinger Kilian Tscharke Pascal Debus UQCV AI4CE 59 0 0 20 Jul 2025
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning Rohit Mohan Julia Hindel F. Drews Claudius Gläser Daniele Cattaneo Abhinav Valada UQCV EDL 112 0 0 16 Jun 2025
Quantifying Adversarial Uncertainty in Evidential Deep Learning using Conflict Resolution Charmaine Barker Daniel Bethell Simos Gerasimou AAML 124 0 0 06 Jun 2025
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics Lorenzo Jaime Yu Flores Ori Ernst Jackie Chi Kit Cheung 120 0 0 31 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 96 0 0 28 May 2025
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents Michael Kirchhof Gjergji Kasneci Enkelejda Kasneci LLMAG 107 5 0 28 May 2025
Variational Deep Learning via Implicit Regularization Jonathan Wenger Beau Coker Juraj Marusic John P. Cunningham OOD UQCV BDL 114 0 0 26 May 2025
Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Debargha Ganguly Vikash Singh Sreehari Sankar Biyao Zhang Xuecen Zhang Srinivasan Iyengar Xiaotian Han Amit Sharma Shivkumar Kalyanaraman Vipin Chaudhary 155 0 0 26 May 2025
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 186 1 0 21 May 2025
Are vision language models robust to uncertain inputs? Xi Wang Eric Nalisnick AAML VLM 243 1 0 17 May 2025
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models Aishwarya Venkataramanan P. Bodesheim Joachim Denzler BDL VLM 174 2 0 08 May 2025
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Shireen Kudukkil Manchingal Andrew Bradley Julian F. P. Kooij Keivan K1 Shariatmadar Neil Yorke-Smith Fabio Cuzzolin 268 1 0 08 May 2025
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems Xizhuo Zhang AI4CE 155 1 0 26 Apr 2025
ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding Santosh Rajagopalan Jonathan Vronsky Songbai Yan S. Alireza Golestaneh Shubhra Chandra Min Zhou 146 0 0 26 Apr 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 203 1 0 18 Apr 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke J. Dietrich Nadja Klein 169 1 0 17 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation Sebastian Schmidt Julius Körner Dominik Fuchsgruber Stefano Gasperini F. Tombari Stephan Günnemann 129 1 0 07 Apr 2025
Outlook Towards Deployable Continual Learning for Particle Accelerators Kishansingh Rajput Sen Lin Auralee Edelen Willem Blokland Malachi Schram 97 1 0 04 Apr 2025
Offline Model-Based Optimization: Comprehensive Review Minsu Kim Jiayao Gu Ye Yuan Taeyoung Yun Ziqiang Liu Yoshua Bengio Can Chen OffRL 171 6 0 21 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 119 1 0 13 Mar 2025
LiDAR-enhanced 3D Gaussian Splatting Mapping Jian Shen Huai Yu Ji Wu Wen Yang Gui-Song Xia 3DGS 156 0 0 07 Mar 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation Long Minh Bui Tho Tran Huu Duy-Tung Dinh T. Nguyen Trong Nghia Hoang 168 2 0 27 Feb 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk Tianyu Zhao Mahmoud Srewa Salma Elmalaki 196 2 0 25 Feb 2025
Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models Hannah Rosa Friesacher Emma Svensson S. Winiwarter Lewis H. Mervin Adam Arany Ola Engkvist OOD 109 0 0 06 Feb 2025
Learning Hyperparameters via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 162 0 0 03 Feb 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 358 17 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 316 15 0 28 Jan 2025
On the challenges of detecting MCI using EEG in the wild Aayush Mishra David Joffe Sankara Surendra Telidevara David S Oakley Anqi Liu 131 0 0 15 Jan 2025
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation S. Landgraf Rongjun Qin Markus Ulrich UQCV 155 2 0 14 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection Amol Khanna Chenyi Ling Derek Everett Edward Raff Nathan Inkawhich OODD 163 1 0 05 Jan 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Wei Song Yuan Ma Yiu-ming Cheung Sricharan Kumar MedIm 507 0 0 03 Jan 2025
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 431 1 0 25 Nov 2024
Data-Driven Gradient Optimization for Field Emission Management in a Superconducting Radio-Frequency Linac Steven Goldenberg Kawser Ahammed A. Carpenter Jiang Li Riad Suleiman C. Tennant AI4CE 87 0 0 11 Nov 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous Qinxun Bai Fuxin Li BDL 145 1 0 31 Oct 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 244 2 0 30 Oct 2024
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice Hsiu-Yuan Huang Yutong Yang Zhaoxi Zhang Sanwoo Lee Yunfang Wu 165 30 0 20 Oct 2024
Normalizing self-supervised learning for provably reliable Change Point Detection Alexandra Bazarova Evgenia Romanenkova Alexey Zaytsev 91 2 0 17 Oct 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 137 7 0 14 Oct 2024
Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation Hanieh Shojaei Qianqian Zou Max Mehltretter UQCV 106 0 0 11 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 149 7 0 11 Oct 2024