Copertina

Solving the Clustering Reasoning Problems by Modeling a Deep-Learning-Based Probabilistic Model

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Song, Ruizhuo, Yuan, Beiming
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Triple-CFN: Separating Concepts and Features Enhances Machine Abstract Reasoning Ability
di: Song, Ruizhuo, et al.
Pubblicazione: (2024)

Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability
di: Song, Ruizhuo, et al.
Pubblicazione: (2024)

DIO: Refining Mutual Information and Causal Chain to Enhance Machine Abstract Reasoning Ability
di: Song, Ruizhuo, et al.
Pubblicazione: (2025)

D4C: Improving Negative Example Quality to Enhance Machine Abstract Reasoning Ability
di: Song, Ruizhuo, et al.
Pubblicazione: (2024)

Johnny: Structuring Representation Space to Enhance Machine Abstract Reasoning Ability
di: Song, Ruizhuo, et al.
Pubblicazione: (2025)

EiHi Net: Out-of-Distribution Generalization Paradigm
di: Wei, Qinglai, et al.
Pubblicazione: (2022)

Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
di: He, Haibin, et al.
Pubblicazione: (2025)

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
di: Song, Bowen, et al.
Pubblicazione: (2023)

Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems
di: Hu, Jason, et al.
Pubblicazione: (2024)

Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence
di: Xu, Ruizhuo, et al.
Pubblicazione: (2024)

Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
di: Zhang, Hongyuan, et al.
Pubblicazione: (2024)

Self-Learning Symmetric Multi-view Probabilistic Clustering
di: Liu, Junjie, et al.
Pubblicazione: (2023)

Deep Probabilistic Unfolding for Quantized Compressive Sensing
di: Qu, Gang, et al.
Pubblicazione: (2026)

Prototype Clustered Diffusion Models for Versatile Inverse Problems
di: Zhang, Jinghao, et al.
Pubblicazione: (2024)

Video Models Reason Early: Exploiting Plan Commitment for Maze Solving
di: Newman, Kaleb, et al.
Pubblicazione: (2026)

Deep Clustering via Probabilistic Ratio-Cut Optimization
di: Ghriss, Ayoub, et al.
Pubblicazione: (2025)

Deep Image Clustering Based on Curriculum Learning and Density Information
di: Zheng, Haiyang, et al.
Pubblicazione: (2026)

Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
di: Kong, Jingyu, et al.
Pubblicazione: (2024)

Solving Zero-Shot 3D Visual Grounding as Constraint Satisfaction Problems
di: Yuan, Qihao, et al.
Pubblicazione: (2024)

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
di: Małkiński, Mikołaj, et al.
Pubblicazione: (2023)

A Survey of Deep Learning for Geometry Problem Solving
di: Ma, Jianzhe, et al.
Pubblicazione: (2025)

Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
di: Wen, Zichen, et al.
Pubblicazione: (2025)

CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
di: Chen, Shuhang, et al.
Pubblicazione: (2026)

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems
di: Zhao, Jiankun, et al.
Pubblicazione: (2024)

Binary Diffusion Probabilistic Model
di: Kinakh, Vitaliy, et al.
Pubblicazione: (2025)

Large Vision Models Can Solve Mental Rotation Problems
di: Mason, Sebastian Ray, et al.
Pubblicazione: (2025)

TractoRC: A Unified Probabilistic Learning Framework for Joint Tractography Registration and Clustering
di: Li, Yijie, et al.
Pubblicazione: (2026)

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey
di: Cho, Seunghyuk, et al.
Pubblicazione: (2025)

Optimizing Few-Step Sampler for Diffusion Probabilistic Model
di: Huang, Jen-Yuan
Pubblicazione: (2024)

SchröMind: Mitigating Hallucinations in Multimodal Large Language Models via Solving the Schrödinger Bridge Problem
di: Shi, Ziqiang, et al.
Pubblicazione: (2026)

Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images
di: Li, Xianlu, et al.
Pubblicazione: (2025)

Deep Learning for Taxol Exposure Analysis: A New Cell Image Dataset and Attention-Based Baseline Model
di: Fletcher, Sean, et al.
Pubblicazione: (2025)

From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models
di: Zhu, Wenxin, et al.
Pubblicazione: (2025)

Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning
di: Cho, Wonwoo, et al.
Pubblicazione: (2024)

Deep Probabilistic Supervision for Image Classification
di: Adelöw, Anton, et al.
Pubblicazione: (2025)

You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
di: Li, Hanyang, et al.
Pubblicazione: (2025)

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
di: Wang, Hengkang, et al.
Pubblicazione: (2024)

Towards Geometry Problem Solving in the Large Model Era: A Survey
di: Zhao, Yurui, et al.
Pubblicazione: (2025)

Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
di: Tang, Zhicong, et al.
Pubblicazione: (2025)

FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
di: Yuan, Shengming, et al.
Pubblicazione: (2025)