Cover Image

Enhancing Time Series Forecasting via Logic-Inspired Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jianqi, Wang, Jingyao, Shen, Xingchen, Qiang, Wenwen
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning
by: Zhang, Jianqi, et al.
Published: (2026)

Understanding Token-level Topological Structures in Transformer-based Time Series Forecasting
by: Zhang, Jianqi, et al.
Published: (2024)

Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
by: Wang, Zheng, et al.
Published: (2025)

On the Regularization of Learnable Embeddings for Time Series Forecasting
by: Butera, Luca, et al.
Published: (2024)

T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
by: Guo, Suhan, et al.
Published: (2026)

On the Universality of Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
by: Masserano, Luca, et al.
Published: (2024)

Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix
by: Zhang, Zhicheng, et al.
Published: (2024)

Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding
by: Shin, Donghwa, et al.
Published: (2025)

VARMA-Enhanced Transformer for Time Series Forecasting
by: Song, Jiajun, et al.
Published: (2025)

Ellipsoidal Time Series Forecasting
by: Wang, Qilin
Published: (2025)

FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
by: Xiao, Jingge, et al.
Published: (2024)

Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)

Time Series Forecastability Measures
by: Wang, Rui, et al.
Published: (2025)

ISMRNN: An Implicitly Segmented RNN Method with Mamba for Long-Term Time Series Forecasting
by: Zhao, GaoXiang, et al.
Published: (2024)

Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)

Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025)

The Forecast After the Forecast: A Post-Processing Shift in Time Series
by: Liang, Daojun, et al.
Published: (2026)

Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
by: Yin, Tianyi, et al.
Published: (2024)

Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)

IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
by: Wang, Hua, et al.
Published: (2025)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting
by: Shen, ChengAo, et al.
Published: (2025)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
by: Niu, Yiming, et al.
Published: (2025)

Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)

StretchTime: Adaptive Time Series Forecasting via Symplectic Attention
by: Kim, Yubin, et al.
Published: (2026)

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)

LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting
by: Zhang, Lingzheng, et al.
Published: (2024)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
by: Wang, Shiyu, et al.
Published: (2024)

Performative Time-Series Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2023)

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
by: Chi, Jinjin, et al.
Published: (2026)

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting
by: Wang, Yijun, et al.
Published: (2026)

FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2025)

FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model
by: Li, Chu, et al.
Published: (2024)

Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning
by: Gao, Haozhi, et al.
Published: (2024)

PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
by: Zhou, Yingbo, et al.
Published: (2026)

Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling
by: Zhao, Sinong, et al.
Published: (2024)