:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Dayin, Shi, Xiaodan, Jiang, Mingkun, Zhang, Haoran, Zhang, Dongxiao, Chen, Yuntian, Yan, Jinyue
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.00601
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Phone-based Distributed Ambient Temperature Measurement System with An Efficient Label-free Automated Training Strategy
by: Chen, Dayin, et al.
Published: (2024)

CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation
by: Zhu, Shibo, et al.
Published: (2026)

Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data
by: Hu, Yuxiao, et al.
Published: (2023)

Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series
by: Hu, Yuxiao, et al.
Published: (2025)

Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting
by: Gao, Jiaxin, et al.
Published: (2024)

LLM4ED: Large Language Models for Automatic Equation Discovery
by: Du, Mengge, et al.
Published: (2024)

Auto-Regressive Moving Diffusion Models for Time Series Forecasting
by: Gao, Jiaxin, et al.
Published: (2024)

Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning
by: Wang, Zhongzheng, et al.
Published: (2024)

Beyond empirical models: Discovering new constitutive laws in solids with graph-based equation discovery
by: Xu, Hao, et al.
Published: (2025)

BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
by: Liu, Yongzheng, et al.
Published: (2025)

Physics-constrained robust learning of open-form partial differential equations from limited and noisy data
by: Du, Mengge, et al.
Published: (2023)

A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM
by: Zhang, Yongan, et al.
Published: (2024)

CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)

Interpretable AI-Driven Discovery of Terrain-Precipitation Relationships for Enhanced Climate Insights
by: Xu, Hao, et al.
Published: (2023)

Cloud-Edge Collaborative Large Models for Robust Photovoltaic Power Forecasting
by: Qiao, Nan, et al.
Published: (2026)

Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling
by: Chen, Jiadong, et al.
Published: (2025)

Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
by: Lou, Siyu, et al.
Published: (2024)

When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
by: Xu, Lei, et al.
Published: (2024)

Capturing Unseen Spatial Heat Extremes Through Dependence-Aware Generative Modeling
by: Liu, Xinyue, et al.
Published: (2025)

Measuring Time Series Forecast Stability for Demand Planning
by: Klee, Steven, et al.
Published: (2025)

Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions
by: Wu, Guang, et al.
Published: (2024)

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
by: Cao, Qinglong, et al.
Published: (2024)

Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework
by: Zhang, Dashan, et al.
Published: (2023)

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
by: Li, Peiran, et al.
Published: (2026)

Generative Discovery of Partial Differential Equations by Learning from Math Handbooks
by: Xu, Hao, et al.
Published: (2025)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025)

AS‐XAI: Self‐Supervised Automatic Semantic Interpretation for CNN
by: Changqi Sun, et al.
Published: (2024)

AS‐XAI: Self‐Supervised Automatic Semantic Interpretation for CNN
by: Changqi Sun, et al.
Published: (2024)

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
by: Miao, Changhao, et al.
Published: (2026)

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
by: Fan, Xu, et al.
Published: (2025)

2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
by: Zhang, Yajuan, et al.
Published: (2025)

SolarBoost: Distributed Photovoltaic Power Forecasting Amid Time-varying Grid Capacity
by: Geng, Linyuan, et al.
Published: (2025)

Towards Differentiable Multilevel Optimization: A Gradient-Based Approach
by: Gu, Yuntian, et al.
Published: (2024)

AutoGMM: Automatic Gaussian Mixture Modeling in Python
by: Liu, Tingshan, et al.
Published: (2019)

Data-driven Progressive Discovery of Physical Laws
by: Xia, Mingkun, et al.
Published: (2026)

Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation
by: Xie, Senwei, et al.
Published: (2026)

AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs
by: Zeng, Zihao, et al.
Published: (2025)

Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients
by: Li, Yan, et al.
Published: (2024)

Forecasting Intraday Power Output by a Set of PV Systems using Recurrent Neural Networks and Physical Covariates
by: Bruneau, Pierrick, et al.
Published: (2023)

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting
by: Fan, Hang, et al.
Published: (2025)