Cost-effective Reduced-Order Modeling via Bayesian Active Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Rahmati, Amir Hossein, Urban, Nathan M., Yoon, Byung-Jun, Qian, Xiaoning |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Understanding Uncertainty-based Active Learning Under Model Mismatch
por: Rahmati, Amir Hossein, et al.
Publicado: (2024)
por: Rahmati, Amir Hossein, et al.
Publicado: (2024)
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
por: Rahmati, Amir Hossein, et al.
Publicado: (2025)
por: Rahmati, Amir Hossein, et al.
Publicado: (2025)
Epidemiological Model Calibration via Graybox Bayesian Optimization
por: Niu, Puhua, et al.
Publicado: (2024)
por: Niu, Puhua, et al.
Publicado: (2024)
Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty
por: Go, Jinwoo, et al.
Publicado: (2026)
por: Go, Jinwoo, et al.
Publicado: (2026)
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design
por: Abeer, A N M Nafiz, et al.
Publicado: (2024)
por: Abeer, A N M Nafiz, et al.
Publicado: (2024)
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
por: Jantre, Sanket, et al.
Publicado: (2025)
por: Jantre, Sanket, et al.
Publicado: (2025)
Sequential Bayesian Neural Subnetwork Ensembles
por: Jantre, Sanket, et al.
Publicado: (2022)
por: Jantre, Sanket, et al.
Publicado: (2022)
Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders
por: Abeer, A N M Nafiz, et al.
Publicado: (2024)
por: Abeer, A N M Nafiz, et al.
Publicado: (2024)
LoRA-BERT: a Natural Language Processing Model for Robust and Accurate Prediction of long non-coding RNAs
por: Jeon, Nicholas, et al.
Publicado: (2024)
por: Jeon, Nicholas, et al.
Publicado: (2024)
Causal Bayesian Optimization via Exogenous Distribution Learning
por: Ren, Shaogang, et al.
Publicado: (2024)
por: Ren, Shaogang, et al.
Publicado: (2024)
Multi-Objective Latent Space Optimization of Generative Molecular Design Models
por: Abeer, A N M Nafiz, et al.
Publicado: (2022)
por: Abeer, A N M Nafiz, et al.
Publicado: (2022)
Data-Augmented Few-Shot Neural Emulator for Computer-Model System Identification
por: Jantre, Sanket, et al.
Publicado: (2025)
por: Jantre, Sanket, et al.
Publicado: (2025)
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)
Predictive Maintenance of Electric Motors Using Supervised Learning Models: A Comparative Analysis
por: Baradaran, Amir Hossein
Publicado: (2025)
por: Baradaran, Amir Hossein
Publicado: (2025)
Learning U-Statistics with Active Inference
por: Wang, Xiaoning, et al.
Publicado: (2026)
por: Wang, Xiaoning, et al.
Publicado: (2026)
Byzantine-Robust Federated Learning Framework with Post-Quantum Secure Aggregation for Real-Time Threat Intelligence Sharing in Critical IoT Infrastructure
por: Rahmati, Milad, et al.
Publicado: (2026)
por: Rahmati, Milad, et al.
Publicado: (2026)
Reduced Order Modeling for Tsunami Forecasting with Bayesian Hierarchical Pooling
por: Coffing, Shane X., et al.
Publicado: (2025)
por: Coffing, Shane X., et al.
Publicado: (2025)
Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement Learning
por: Ayoub, Alex, et al.
Publicado: (2024)
por: Ayoub, Alex, et al.
Publicado: (2024)
Automated Manifold Learning for Reduced Order Modeling
por: Nasim, Imran, et al.
Publicado: (2025)
por: Nasim, Imran, et al.
Publicado: (2025)
Reduced Order Modeling with Shallow Recurrent Decoder Networks
por: Tomasetto, Matteo, et al.
Publicado: (2025)
por: Tomasetto, Matteo, et al.
Publicado: (2025)
The Cost of Replicability in Active Learning
por: Hira, Rupkatha, et al.
Publicado: (2024)
por: Hira, Rupkatha, et al.
Publicado: (2024)
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
por: Xie, Qian, et al.
Publicado: (2024)
por: Xie, Qian, et al.
Publicado: (2024)
Robust OOD Graph Learning via Mean Constraints and Noise Reduction
por: Zhou, Yang, et al.
Publicado: (2025)
por: Zhou, Yang, et al.
Publicado: (2025)
Dynamic Incremental Optimization for Best Subset Selection
por: Ren, Shaogang, et al.
Publicado: (2024)
por: Ren, Shaogang, et al.
Publicado: (2024)
Cost-aware Stopping for Bayesian Optimization
por: Xie, Qian, et al.
Publicado: (2025)
por: Xie, Qian, et al.
Publicado: (2025)
Active Learning of Model Discrepancy with Bayesian Experimental Design
por: Yang, Huchen, et al.
Publicado: (2025)
por: Yang, Huchen, et al.
Publicado: (2025)
Formal Bayesian Transfer Learning via the Total Risk Prior
por: Wycoff, Nathan, et al.
Publicado: (2025)
por: Wycoff, Nathan, et al.
Publicado: (2025)
The Role of Higher-Order Cognitive Models in Active Learning
por: Keurulainen, Oskar, et al.
Publicado: (2024)
por: Keurulainen, Oskar, et al.
Publicado: (2024)
Enhancing Performance and User Engagement in Everyday Stress Monitoring: A Context-Aware Active Reinforcement Learning Approach
por: Aqajari, Seyed Amir Hossein, et al.
Publicado: (2024)
por: Aqajari, Seyed Amir Hossein, et al.
Publicado: (2024)
Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations
por: Huseljic, Denis, et al.
Publicado: (2022)
por: Huseljic, Denis, et al.
Publicado: (2022)
Bayesian Active Learning By Distribution Disagreement
por: Werner, Thorben, et al.
Publicado: (2025)
por: Werner, Thorben, et al.
Publicado: (2025)
Position: Explainable AI is Causality in Disguise
por: Karimi, Amir-Hossein
Publicado: (2026)
por: Karimi, Amir-Hossein
Publicado: (2026)
Bayesian Active Learning for Censored Regression
por: Hüttel, Frederik Boe, et al.
Publicado: (2024)
por: Hüttel, Frederik Boe, et al.
Publicado: (2024)
Loss-Driven Bayesian Active Learning
por: Huang, Zhuoyue, et al.
Publicado: (2026)
por: Huang, Zhuoyue, et al.
Publicado: (2026)
Cost-Aware Learning
por: Mohri, Clara, et al.
Publicado: (2026)
por: Mohri, Clara, et al.
Publicado: (2026)
Self-Correcting Bayesian Optimization through Bayesian Active Learning
por: Hvarfner, Carl, et al.
Publicado: (2023)
por: Hvarfner, Carl, et al.
Publicado: (2023)
Offline Reinforcement Learning with Penalized Action Noise Injection
por: Oh, JunHyeok, et al.
Publicado: (2025)
por: Oh, JunHyeok, et al.
Publicado: (2025)
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
por: Zakerinia, Hossein, et al.
Publicado: (2024)
por: Zakerinia, Hossein, et al.
Publicado: (2024)
Ejemplares similares
-
Understanding Uncertainty-based Active Learning Under Model Mismatch
por: Rahmati, Amir Hossein, et al.
Publicado: (2024) -
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
por: Rahmati, Amir Hossein, et al.
Publicado: (2025) -
Epidemiological Model Calibration via Graybox Bayesian Optimization
por: Niu, Puhua, et al.
Publicado: (2024) -
Goal-driven Bayesian Optimal Experimental Design for Robust Decision-Making Under Model Uncertainty
por: Go, Jinwoo, et al.
Publicado: (2026) -
Multi-modal Representation Learning for Cross-modal Prediction of Continuous Weather Patterns from Discrete Low-Dimensional Data
por: Qayyum, Alif Bin Abdul, et al.
Publicado: (2024)