:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jia, Huaiyu, Zhou, Luofeng, Zhang, Wentao, Cong, Lin William, Li, Siguang, Sun, Shuo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2604.20421
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Event-Aware Forecasting in DeFi: Insights from On-chain Automated Market Maker Protocols
by: Jia, Huaiyu, et al.
Published: (2026)

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
by: Jia, Yuxin, et al.
Published: (2024)

Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction
by: Wang, Junliang, et al.
Published: (2024)

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
by: Zhang, Yuanming, et al.
Published: (2025)

GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
by: Shang, Xinyi, et al.
Published: (2024)

MoTime: A Dataset Suite for Multimodal Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2025)

Unlocking the Power of LSTM for Long Term Time Series Forecasting
by: Kong, Yaxuan, et al.
Published: (2024)

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
by: Wen, Haomin, et al.
Published: (2023)

Benchmarking Hindi LLMs: A New Suite of Datasets and a Comparative Analysis
by: Kamath, Anusha, et al.
Published: (2025)

The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective
by: Lan, Haixiang, et al.
Published: (2025)

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
by: Wei, Tonglong, et al.
Published: (2025)

Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction
by: Bose, Avishek, et al.
Published: (2024)

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
by: Liao, Luofeng, et al.
Published: (2021)

AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
by: Zhang, Huanyao, et al.
Published: (2025)

Suite-IN: Aggregating Motion Features from Apple Suite for Robust Inertial Navigation
by: Sun, Lan, et al.
Published: (2024)

A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting
by: Yu, Runyao, et al.
Published: (2026)

A Component-Based Survey of Interactions between Large Language Models and Multi-Armed Bandits
by: Chen, Siguang, et al.
Published: (2026)

Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
by: Wang, Chengsen, et al.
Published: (2025)

PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
by: Wei, Tonglong, et al.
Published: (2024)

Forecast Sports Outcomes under Efficient Market Hypothesis: Theoretical and Experimental Analysis of Odds-Only and Generalised Linear Models
by: Goto, Kaito, et al.
Published: (2026)

TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
by: Liu, Yichen, et al.
Published: (2025)

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
by: Xia, Haochong, et al.
Published: (2023)

GENIUS: Generative Fluid Intelligence Evaluation Suite
by: An, Ruichuan, et al.
Published: (2026)

Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting
by: Choi, Seongjin, et al.
Published: (2022)

OceanForecastBench: A Benchmark Dataset for Data-Driven Global Ocean Forecasting
by: Jia, Haoming, et al.
Published: (2025)

Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
by: Wei, Tonglong, et al.
Published: (2024)

Discrete Tokenization Unlocks Transformers for Calibrated Tabular Forecasting
by: Elmatad, Yael S.
Published: (2026)

Integrative Analysis of Financial Market Sentiment Using CNN and GRU for Risk Prediction and Alert Systems
by: Wu, You, et al.
Published: (2024)

Distribution-informed Efficient Conformal Prediction for Full Ranking
by: Liao, Wenbo, et al.
Published: (2026)

Improve Cross-Architecture Generalization on Dataset Distillation
by: Zhou, Binglin, et al.
Published: (2024)

Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach
by: Jahani, Reza, et al.
Published: (2025)

EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
by: Gong, Chenghua, et al.
Published: (2025)

AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation
by: Parakh, Meenal, et al.
Published: (2025)

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
by: Xu, Yuanyuan, et al.
Published: (2025)

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
by: Zhang, Shuli, et al.
Published: (2025)

Embedding the MLOps Lifecycle into OT Reference Models
by: Schindler, Simon, et al.
Published: (2025)

A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
by: Lee, Kyungeun, et al.
Published: (2024)

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
by: Shen, Junhao, et al.
Published: (2026)

An Analysis of Linear Time Series Forecasting Models
by: Toner, William, et al.
Published: (2024)

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
by: Zhang, Jiawen, et al.
Published: (2023)