:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Yuan, Yang
Format:	Preprint
Published:	2022
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2211.16327
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PowerPM: Foundation Model for Power Systems
by: Tu, Shihao, et al.
Published: (2024)

Diffusion Transformers as Open-World Spatiotemporal Foundation Models
by: Yuan, Yuan, et al.
Published: (2024)

Transformers and Their Roles as Time Series Foundation Models
by: Wu, Dennis, et al.
Published: (2025)

Graph Foundation Models: Bridging Language Model Paradigms and Graph Optimization
by: Liang, Yunhao, et al.
Published: (2025)

Synergies between Federated Foundation Models and Smart Power Grids
by: Hosseinalipour, Seyyedali, et al.
Published: (2025)

Foundation Model in Biomedicine
by: Liu, Xiangrui, et al.
Published: (2025)

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting
by: Zhou, Xinxing, et al.
Published: (2024)

OSF: On Pre-training and Scaling of Sleep Foundation Models
by: Shuai, Zitao, et al.
Published: (2026)

CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT
by: Hu, Yi, et al.
Published: (2024)

Towards Physics-Guided Foundation Models
by: Farhadloo, Majid, et al.
Published: (2025)

LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model
by: Lin, Tianqianjin, et al.
Published: (2024)

Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)

Diversified Scaling Inference in Time Series Foundation Models
by: Hua, Ruijin, et al.
Published: (2026)

Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
by: Ran, Dezhi, et al.
Published: (2024)

A Mamba Foundation Model for Time Series Forecasting
by: Ma, Haoyu, et al.
Published: (2024)

IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation
by: Yin, Yuan, et al.
Published: (2025)

Ten Challenging Problems in Federated Foundation Models
by: Fan, Tao, et al.
Published: (2025)

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling
by: Yang, Wei, et al.
Published: (2025)

Axial Neural Networks for Dimension-Free Foundation Models
by: Kim, Hyunsu, et al.
Published: (2025)

Hyperbolic Deep Learning for Foundation Models: A Survey
by: He, Neil, et al.
Published: (2025)

Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
by: Yuan, Haonan, et al.
Published: (2026)

On the Opportunities of (Re)-Exploring Atmospheric Science by Foundation Models: A Case Study
by: Zhang, Lujia, et al.
Published: (2024)

Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)

EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models
by: Zhou, Xinxing, et al.
Published: (2026)

ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
by: Yang, Luoxiao, et al.
Published: (2024)

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
by: Liu, Zhangdaihong, et al.
Published: (2026)

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
by: Yuan, Haonan, et al.
Published: (2026)

Advances and Open Challenges in Federated Foundation Models
by: Ren, Chao, et al.
Published: (2024)

Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
by: Dharna, Aaron, et al.
Published: (2025)

Transferable and Forecastable User Targeting Foundation Model
by: Dou, Bin, et al.
Published: (2024)

A Weather Foundation Model for the Power Grid
by: Bodnar, Cristian, et al.
Published: (2025)

Character-level Tokenizations as Powerful Inductive Biases for RNA Foundational Models
by: Morales-Pastor, Adrián, et al.
Published: (2024)

Model Merging: Foundations and Algorithms
by: Crisostomi, Donato
Published: (2026)

Robust Tabular Foundation Models
by: Peroni, Matthew, et al.
Published: (2025)

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules
by: He, Neil, et al.
Published: (2025)

Foundation Models for the Electric Power Grid
by: Hamann, Hendrik F., et al.
Published: (2024)

Towards Neural Scaling Laws for Time Series Foundation Models
by: Yao, Qingren, et al.
Published: (2024)

SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
by: Muñoz, Juan Pablo, et al.
Published: (2024)

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling
by: Liu, Yiding, et al.
Published: (2026)

Benchmarking Foundation Models with Multimodal Public Electronic Health Records
by: Yu, Kunyu, et al.
Published: (2025)