From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Wang, Tianyang, Wang, Yunze, Zhou, Jun, Peng, Benji, Song, Xinyuan, Zhang, Charles, Sun, Xintian, Niu, Qian, Liu, Junyu, Chen, Silin, Chen, Keyu, Li, Ming, Feng, Pohsun, Bi, Ziqian, Liu, Ming, Zhang, Yichao, Fei, Cheng, Yin, Caitlyn Heqi, Yan, Lawrence KQ |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models
par: Zhang, Charles, et autres
Publié: (2024)
par: Zhang, Charles, et autres
Publié: (2024)
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
par: Niu, Qian, et autres
Publié: (2024)
par: Niu, Qian, et autres
Publié: (2024)
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
par: Niu, Qian, et autres
Publié: (2024)
par: Niu, Qian, et autres
Publié: (2024)
From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development
par: Wang, Tianyang, et autres
Publié: (2024)
par: Wang, Tianyang, et autres
Publié: (2024)
From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings
par: Wang, Tianyang, et autres
Publié: (2025)
par: Wang, Tianyang, et autres
Publié: (2025)
Large Language Model Benchmarks in Medical Tasks
par: Yan, Lawrence K. Q., et autres
Publié: (2024)
par: Yan, Lawrence K. Q., et autres
Publié: (2024)
From Noise to Nuance: Advances in Deep Generative Image Models
par: Peng, Benji, et autres
Publié: (2024)
par: Peng, Benji, et autres
Publié: (2024)
Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- AutoML from Basics to State-of-the-Art Techniques
par: Feng, Pohsun, et autres
Publié: (2024)
par: Feng, Pohsun, et autres
Publié: (2024)
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing
par: Sun, Xintian, et autres
Publié: (2024)
par: Sun, Xintian, et autres
Publié: (2024)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
par: Feng, Pohsun, et autres
Publié: (2024)
par: Feng, Pohsun, et autres
Publié: (2024)
Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks
par: Peng, Benji, et autres
Publié: (2024)
par: Peng, Benji, et autres
Publié: (2024)
Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
par: Chen, Silin, et autres
Publié: (2024)
par: Chen, Silin, et autres
Publié: (2024)
Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
par: Peng, Benji, et autres
Publié: (2024)
par: Peng, Benji, et autres
Publié: (2024)
Deep Learning, Machine Learning -- Digital Signal and Image Processing: From Theory to Application
par: Hsieh, Weiche, et autres
Publié: (2024)
par: Hsieh, Weiche, et autres
Publié: (2024)
Deep Learning and Machine Learning -- Object Detection and Semantic Segmentation: From Theory to Applications
par: Ren, Jintao, et autres
Publié: (2024)
par: Ren, Jintao, et autres
Publié: (2024)
Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications
par: Feng, Pohsun, et autres
Publié: (2024)
par: Feng, Pohsun, et autres
Publié: (2024)
Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
par: Li, Ming, et autres
Publié: (2024)
par: Li, Ming, et autres
Publié: (2024)
Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
par: Chen, Keyu, et autres
Publié: (2024)
par: Chen, Keyu, et autres
Publié: (2024)
Surveying the MLLM Landscape: A Meta-Review of Current Surveys
par: Li, Ming, et autres
Publié: (2024)
par: Li, Ming, et autres
Publié: (2024)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming
par: Wang, Tianyang, et autres
Publié: (2024)
par: Wang, Tianyang, et autres
Publié: (2024)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
par: Chen, Keyu, et autres
Publié: (2024)
par: Chen, Keyu, et autres
Publié: (2024)
Deep Learning and Machine Learning -- Natural Language Processing: From Theory to Application
par: Chen, Keyu, et autres
Publié: (2024)
par: Chen, Keyu, et autres
Publié: (2024)
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
par: Hsieh, Weiche, et autres
Publié: (2024)
par: Hsieh, Weiche, et autres
Publié: (2024)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
par: Peng, Benji, et autres
Publié: (2024)
par: Peng, Benji, et autres
Publié: (2024)
AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys
par: Wu, Siyi, et autres
Publié: (2025)
par: Wu, Siyi, et autres
Publié: (2025)
Advanced Deep Learning Methods for Protein Structure Prediction and Design
par: Zhang, Yichao, et autres
Publié: (2025)
par: Zhang, Yichao, et autres
Publié: (2025)
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs
par: Hsieh, Weiche, et autres
Publié: (2024)
par: Hsieh, Weiche, et autres
Publié: (2024)
Deep Learning Model Security: Threats and Defenses
par: Wang, Tianyang, et autres
Publié: (2024)
par: Wang, Tianyang, et autres
Publié: (2024)
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
par: Yang, Junjie, et autres
Publié: (2025)
par: Yang, Junjie, et autres
Publié: (2025)
A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks
par: Liang, Chia Xin, et autres
Publié: (2024)
par: Liang, Chia Xin, et autres
Publié: (2024)
CoT-X: An Adaptive Framework for Cross-Model Chain-of-Thought Transfer and Optimization
par: Bi, Ziqian, et autres
Publié: (2025)
par: Bi, Ziqian, et autres
Publié: (2025)
Generative Adversarial Networks Bridging Art and Machine Intelligence
par: Song, Junhao, et autres
Publié: (2025)
par: Song, Junhao, et autres
Publié: (2025)
FMCW Radar Principles and Human Activity Recognition Systems: Foundations, Techniques, and Applications
par: Bi, Ziqian, et autres
Publié: (2024)
par: Bi, Ziqian, et autres
Publié: (2024)
Label-wise Aleatoric and Epistemic Uncertainty Quantification
par: Sale, Yusuf, et autres
Publié: (2024)
par: Sale, Yusuf, et autres
Publié: (2024)
Epistemic and Aleatoric Uncertainty Quantification in Weather and Climate Models
par: Mansfield, Laura A., et autres
Publié: (2025)
par: Mansfield, Laura A., et autres
Publié: (2025)
Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement
par: Tseng, Chiung-Yi, et autres
Publié: (2025)
par: Tseng, Chiung-Yi, et autres
Publié: (2025)
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
par: Van Katwyk, Peter, et autres
Publié: (2025)
par: Van Katwyk, Peter, et autres
Publié: (2025)
Rethinking Aleatoric and Epistemic Uncertainty
par: Smith, Freddie Bickford, et autres
Publié: (2024)
par: Smith, Freddie Bickford, et autres
Publié: (2024)
Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning
par: Zhao, Zhizhong, et autres
Publié: (2025)
par: Zhao, Zhizhong, et autres
Publié: (2025)
Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
par: Qiao, Dan, et autres
Publié: (2026)
par: Qiao, Dan, et autres
Publié: (2026)
Documents similaires
-
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models
par: Zhang, Charles, et autres
Publié: (2024) -
From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice
par: Niu, Qian, et autres
Publié: (2024) -
Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
par: Niu, Qian, et autres
Publié: (2024) -
From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development
par: Wang, Tianyang, et autres
Publié: (2024) -
From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings
par: Wang, Tianyang, et autres
Publié: (2025)