:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Yan-Ting, Chen, Hao-Wei, Hsiao, Tsu-Ching, Lee, Chun-Yi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2507.10347
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Landscape-Awareness for Geometric View Diffusion Model
di: Chen, Yan-Ting, et al.
Pubblicazione: (2026)

Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
di: Hsiao, Tsu-Ching, et al.
Pubblicazione: (2023)

Virtual Guidance as a Mid-level Representation for Navigation with Augmented Reality
di: Yang, Hsuan-Kung, et al.
Pubblicazione: (2023)

Accelerating Parallel Sampling of Diffusion Models
di: Tang, Zhiwei, et al.
Pubblicazione: (2024)

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
di: Chao, Chen-Hao, et al.
Pubblicazione: (2025)

Investigation of Factorized Optical Flows as Mid-Level Representations
di: Yang, Hsuan-Kung, et al.
Pubblicazione: (2022)

Precise Pick-and-Place using Score-Based Diffusion Networks
di: Guo, Shih-Wei, et al.
Pubblicazione: (2024)

EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
di: Lee, Jia-Hua, et al.
Pubblicazione: (2025)

Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
di: Gupta, Shivam, et al.
Pubblicazione: (2024)

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
di: Luan, Hao, et al.
Pubblicazione: (2025)

Taming Outlier Tokens in Diffusion Transformers
di: Wu, Xiaoyu, et al.
Pubblicazione: (2026)

Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
di: Chen, Haoxuan, et al.
Pubblicazione: (2024)

Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
di: Huang, Lin-Chun, et al.
Pubblicazione: (2025)

Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
di: Chen, Li, et al.
Pubblicazione: (2026)

SceneFoundry: Generating Interactive Infinite 3D Worlds
di: Chen, ChunTeng, et al.
Pubblicazione: (2026)

Diffusion Language Models are Provably Optimal Parallel Samplers
di: Jiang, Haozhe, et al.
Pubblicazione: (2025)

AEGIS : Automated Co-Evolutionary Framework for Guarding Prompt Injections Schema
di: Liu, Ting-Chun, et al.
Pubblicazione: (2025)

Retraining-Free Merging of Sparse MoE via Hierarchical Clustering
di: Chen, I-Chun, et al.
Pubblicazione: (2024)

Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs
di: Chen, Hao Mark, et al.
Pubblicazione: (2026)

UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior
di: Chen, I-Hsiang, et al.
Pubblicazione: (2025)

Diffusion Model-Augmented Behavioral Cloning
di: Chen, Shang-Fu, et al.
Pubblicazione: (2023)

ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
di: Kang, Wonjun, et al.
Pubblicazione: (2025)

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
di: Azangulov, Iskander, et al.
Pubblicazione: (2025)

Dynamical Regimes of Multimodal Diffusion Models
di: Albrychiewicz, Emil, et al.
Pubblicazione: (2026)

Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
di: Chao, Chen-Hao, et al.
Pubblicazione: (2024)

Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
di: Chen, Yen-Ju, et al.
Pubblicazione: (2023)

Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution
di: Yuan, Yutao, et al.
Pubblicazione: (2024)

Multi-modal Heart Failure Risk Estimation based on Short ECG and Sampled Long-Term HRV
di: González, Sergio, et al.
Pubblicazione: (2024)

Safety Alignment Depth in Large Language Models: A Markov Chain Perspective
di: Kao, Ching-Chia, et al.
Pubblicazione: (2025)

The Great Contradiction Showdown: How Jailbreak and Stealth Wrestle in Vision-Language Models?
di: Kao, Ching-Chia, et al.
Pubblicazione: (2024)

A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling
di: Chen, Yi-Ping, et al.
Pubblicazione: (2023)

Projected Coupled Diffusion for Test-Time Constrained Joint Generation
di: Luan, Hao, et al.
Pubblicazione: (2025)

MENTOR: Multilingual tExt detectioN TOward leaRning by analogy
di: Lin, Hsin-Ju, et al.
Pubblicazione: (2024)

Towards Large-scale Chemical Reaction Image Parsing via a Multimodal Large Language Model
di: Chen, Yufan, et al.
Pubblicazione: (2025)

Training-free Diffusion Model Alignment with Sampling Demons
di: Yeh, Po-Hung, et al.
Pubblicazione: (2024)

DRL-Based Beam Positioning for LEO Satellite Constellations with Weighted Least Squares
di: Chou, Po-Heng, et al.
Pubblicazione: (2025)

Towards General-Purpose Text-Instruction-Guided Voice Conversion
di: Kuan, Chun-Yi, et al.
Pubblicazione: (2023)

ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
di: Lian, Long, et al.
Pubblicazione: (2025)

Diffusive Gibbs Sampling
di: Chen, Wenlin, et al.
Pubblicazione: (2024)

Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning
di: Chen, Yan-Chen, et al.
Pubblicazione: (2026)