Image de couverture de livre

Event Fields: Learning Latent Event Structure for Waveform Foundation Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Na, Li, Zhang, Yuanyun, Li, Shi
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling
par: Zhang, Yuanyun, et autres
Publié: (2025)

WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records
par: Dong, Ruan, et autres
Publié: (2026)

AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models
par: Zhang, Yuanyun, et autres
Publié: (2026)

From Observations to Events: Event-Aware World Model for Reinforcement Learning
par: Peng, Zhao-Han, et autres
Publié: (2026)

ExEBench: Benchmarking Foundation Models on Extreme Earth Events
par: Zhao, Shan, et autres
Publié: (2025)

LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
par: Feng, Yicheng, et autres
Publié: (2026)

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
par: Liu, Yuequn, et autres
Publié: (2023)

Event-Aware Prompt Learning for Dynamic Graphs
par: Yu, Xingtong, et autres
Publié: (2025)

Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation
par: Kuang, Yiling, et autres
Publié: (2024)

Uncertainty-Aware Foundation Models for Clinical Data
par: Zhou, Qian, et autres
Publié: (2026)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting
par: Ge, Yunfeng, et autres
Publié: (2025)

Statistical and Machine Learning Models for Predicting Fire and Other Emergency Events
par: Sharma, Dilli Prasad, et autres
Publié: (2024)

Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
par: Zhang, Jinchuan, et autres
Publié: (2024)

Capture Timing-Attention of Events in Clinical Time Series
par: Li, Jia, et autres
Publié: (2026)

Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study
par: Han, Liying, et autres
Publié: (2025)

Learning Clinical Representations Under Systematic Distribution Shift
par: Zhang, Yuanyun, et autres
Publié: (2026)

EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models
par: Zhou, Xinxing, et autres
Publié: (2026)

Foundations of Structural Causal Models with Latent Selection
par: Chen, Leihao, et autres
Publié: (2024)

time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models
par: Sanyal, Debdeep, et autres
Publié: (2025)

Local Causal Structure Learning in the Presence of Latent Variables
par: Xie, Feng, et autres
Publié: (2024)

JTreeformer: Graph-Transformer via Latent-Diffusion Model for Molecular Generation
par: Shi, Ji, et autres
Publié: (2025)

A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
par: Li, Zheng, et autres
Publié: (2026)

Neural Point Process for Learning Spatiotemporal Event Dynamics
par: Zhou, Zihao, et autres
Publié: (2021)

FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
par: Li, Xiang, et autres
Publié: (2025)

PFM-VEPAR: Prompting Foundation Models for RGB-Event Camera based Pedestrian Attribute Recognition
par: Xu, Minghe, et autres
Publié: (2026)

What Do Latent Action Models Actually Learn?
par: Zhang, Chuheng, et autres
Publié: (2025)

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
par: Li, Dianzhao, et autres
Publié: (2025)

FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
par: Yu, Chenyang, et autres
Publié: (2025)

Learning to Predict, Discover, and Reason in High-Dimensional Event Sequences
par: Math, Hugo
Publié: (2026)

MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
par: Moskvoretskii, Viktor, et autres
Publié: (2024)

LEAF: A Living Benchmark for Event-Augmented Forecasting
par: Tan, Mingtian, et autres
Publié: (2026)

The Complexity of Extreme Climate Events on the New Zealand's Kiwifruit Industry
par: Zheng, Boyuan, et autres
Publié: (2025)

OmniArch: Building Foundation Model For Scientific Computing
par: Chen, Tianyu, et autres
Publié: (2024)

Latent Domain Prompt Learning for Vision-Language Models
par: Li, Zhixing, et autres
Publié: (2025)

LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
par: Ipas, Oroel, et autres
Publié: (2026)

Learning Latent Graph Structures and their Uncertainty
par: Manenti, Alessandro, et autres
Publié: (2024)

DeLF: Designing Learning Environments with Foundation Models
par: Afshar, Aida, et autres
Publié: (2024)

Accelerating Full Waveform Inversion By Transfer Learning
par: Singh, Divya Shyam, et autres
Publié: (2024)

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
par: Song, Zhenghang, et autres
Publié: (2026)

Learning Latent Dynamic Robust Representations for World Models
par: Sun, Ruixiang, et autres
Publié: (2024)