:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Zheng, Zhang, Allen, Nelson, Ruth, Ascoli, Giorgio, Zhao, Liang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2408.08799
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow
di: Ma, Jicheng, et al.
Pubblicazione: (2026)

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models
di: Zhang, Yuanyun, et al.
Pubblicazione: (2026)

A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning
di: Liang, Zhiyu, et al.
Pubblicazione: (2023)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
di: Liang, Chen, et al.
Pubblicazione: (2023)

Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
di: Zhang, Ziwei, et al.
Pubblicazione: (2021)

PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
di: Yu, Dazhou, et al.
Pubblicazione: (2025)

JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning
di: Aghababaei-Harandi, Ali, et al.
Pubblicazione: (2026)

Toward Better Geometric Representations for Molecule Generative Models
di: Yan, Shaoheng, et al.
Pubblicazione: (2026)

Improve Representation for Imbalanced Regression through Geometric Constraints
di: Dong, Zijian, et al.
Pubblicazione: (2025)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
di: Liang, Zhiyu, et al.
Pubblicazione: (2023)

NPSVC++: Nonparallel Classifiers Encounter Representation Learning
di: Zhang, Junhong, et al.
Pubblicazione: (2024)

Causal Representation Learning with Optimal Compression under Complex Treatments
di: Liang, Wanting, et al.
Pubblicazione: (2026)

Geometric Representation Condition Improves Equivariant Molecule Generation
di: Li, Zian, et al.
Pubblicazione: (2024)

ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
di: Zheng, Qi, et al.
Pubblicazione: (2024)

GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
di: Chen, Tianlang, et al.
Pubblicazione: (2024)

DeepVekua: Geometric-Spectral Representation Learning for Physics-Informed Fields
di: Khasia, Vladimer
Pubblicazione: (2025)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
di: Ke, Songyu, et al.
Pubblicazione: (2025)

COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
di: Ciranni, Ruben, et al.
Pubblicazione: (2024)

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction
di: d'Ascoli, Stéphane, et al.
Pubblicazione: (2025)

Relative Representations: Topological and Geometric Perspectives
di: García-Castellanos, Alejandro, et al.
Pubblicazione: (2024)

LGL-BCI: A Motor-Imagery-Based Brain-Computer Interface with Geometric Learning
di: Lu, Jianchao, et al.
Pubblicazione: (2023)

Causal Representation Learning from Multiple Distributions: A General Setting
di: Zhang, Kun, et al.
Pubblicazione: (2024)

Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
di: Gao, Hang, et al.
Pubblicazione: (2025)

Distilling Large Language Models for Text-Attributed Graph Learning
di: Pan, Bo, et al.
Pubblicazione: (2024)

CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs
di: Hu, Yuntong, et al.
Pubblicazione: (2025)

Non-Euclidean Spatial Graph Neural Network
di: Zhang, Zheng, et al.
Pubblicazione: (2023)

Rhomboid Tiling for Geometric Graph Deep Learning
di: Zhang, Yipeng, et al.
Pubblicazione: (2025)

SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
di: Amouzouvi, Kossi, et al.
Pubblicazione: (2025)

Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
di: Morteza, Peyman
Pubblicazione: (2023)

Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
di: Yu, Dazhou, et al.
Pubblicazione: (2024)

Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning
di: Peng, Yuhan, et al.
Pubblicazione: (2026)

Fair Graph Representation Learning via Sensitive Attribute Disentanglement
di: Zhu, Yuchang, et al.
Pubblicazione: (2024)

Deep Learning of Multivariate Extremes via a Geometric Representation
di: Murphy-Barltrop, Callum J. R., et al.
Pubblicazione: (2024)

Causal Temporal Representation Learning with Nonstationary Sparse Transition
di: Song, Xiangchen, et al.
Pubblicazione: (2024)

SMEC: Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
di: Zhang, Biao, et al.
Pubblicazione: (2025)

Dueling Deep Reinforcement Learning for Financial Time Series
di: Giorgio, Bruno
Pubblicazione: (2025)

Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
di: Jiang, Wei-Bang, et al.
Pubblicazione: (2024)

VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
di: Cencillo, Alberto D., et al.
Pubblicazione: (2026)

Multimodal Representation Learning Conditioned on Semantic Relations
di: Qiao, Yang, et al.
Pubblicazione: (2025)

Auxiliary Reward Generation with Transition Distance Representation Learning
di: Li, Siyuan, et al.
Pubblicazione: (2024)