Cover Image

Diffusion-Inspired Reconfiguration of Transformers for Uncertainty Calibration

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dao, Manh Cuong, Pham, Quang Hung, Nguyen, Phi Le, Truong, Thao Nguyen, Low, Bryan Kian Hsiang, Hoang, Trong Nghia
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
by: Dao, Manh Cuong, et al.
Published: (2025)

Boosting Offline Optimizers with Surrogate Sensitivity
by: Dao, Manh Cuong, et al.
Published: (2025)

ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
by: Dao, Manh Cuong, et al.
Published: (2025)

Rethinking Cross-Modal Fine-Tuning: Optimizing the Interaction Between Feature Alignment and Target Fitting
by: Tran, Trong Khiem, et al.
Published: (2026)

Causal Graph Learning via Distributional Invariance of Cause-Effect Relationship
by: Nguyen, Nang Hung, et al.
Published: (2026)

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)

FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization
by: Nguyen, Manh Duong, et al.
Published: (2024)

Incentives in Private Collaborative Machine Learning
by: Sim, Rachael Hwee Ling, et al.
Published: (2024)

Efficient Deep Learning for Medical Imaging: Bridging the Gap Between High-Performance AI and Clinical Deployment
by: Nguyen, Cuong Manh, et al.
Published: (2026)

DUPRE: Data Utility Prediction for Efficient Data Valuation
by: Pham, Kieu Thao Nguyen, et al.
Published: (2025)

Expressive and Scalable Quantum Fusion for Multimodal Learning
by: Nguyen, Tuyen, et al.
Published: (2025)

Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Self-Interested Agents in Collaborative Machine Learning: An Incentivized Adaptive Data-Centric Framework
by: Vijayan, Nithia, et al.
Published: (2024)

Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing
by: Nguyen, Trung Thanh, et al.
Published: (2024)

SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion
by: Nguyen, Trong-Tung, et al.
Published: (2024)

Decentralized Sum-of-Nonconvex Optimization
by: Liu, Zhuanghua, et al.
Published: (2024)

A mathematical model describing the trajectory of the bearing in an internal gear pump
by: Nguyen, Hung Manh, et al.
Published: (2024)

BILBO: BILevel Bayesian Optimization
by: Chew, Ruth Wan Theng, et al.
Published: (2025)

Understanding Domain Generalization: A Noise Robustness Perspective
by: Qiao, Rui, et al.
Published: (2024)

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
by: Nguyen, Quang-Huy, et al.
Published: (2026)

Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Real-time stress detection on social network posts using big data technology
by: Nguyen, Hai-Yen Phan, et al.
Published: (2024)

Accelerated Sinkhorn Algorithms for Partial Optimal Transport
by: Truong, Nghia Thu, et al.
Published: (2026)

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
by: Lau, Gregory Kang Ruey, et al.
Published: (2026)

A study of Vietnamese readability assessing through semantic and statistical features
by: Le, Hung Tuan, et al.
Published: (2024)

ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source
by: Le, Hung Tuan, et al.
Published: (2024)

Analyzing the Burden of Midface Fractures Due to Road Traffic Accidents in Vietnam: An Epidemiological Approach
by: Chon Thanh Ho Nguyen, et al.
Published: (2024)

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees
by: Li, Weida, et al.
Published: (2026)

Provably Adaptive Linear Approximation for the Shapley Value and Beyond
by: Li, Weida, et al.
Published: (2026)

Leveraging Large Language Models for Information Verification -- an Engineering Approach
by: Hung, Nguyen Nang, et al.
Published: (2025)

Incentivizing Time-Aware Fairness in Data Sharing
by: Chen, Jiangwei, et al.
Published: (2025)

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
by: Zhang, Ze Yu, et al.
Published: (2024)

Sharpness-Aware Teleportation on Riemannian Manifolds
by: Truong, Tuan, et al.
Published: (2023)

A Mixture of Experts Vision Transformer for High-Fidelity Surface Code Decoding
by: Nguyen, Hoang Viet, et al.
Published: (2026)

Global-to-Local Support Spectrums for Language Model Explainability
by: Agussurja, Lucas, et al.
Published: (2024)

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
by: Liu, Zhuanghua, et al.
Published: (2024)

CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
by: Nguyen, Dac Thai, et al.
Published: (2024)

Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation
by: Nguyen, Manh, et al.
Published: (2025)