Imagen de Portada

Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Xu, Wang, Peng, Li, Yichen, Wang, Wei
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Lightweight Sparse Interaction Network for Time Series Forecasting
por: Zhang, Xu, et al.
Publicado: (2026)

Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification
por: Zhang, Xu, et al.
Publicado: (2025)

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting
por: Zhang, Xu, et al.
Publicado: (2026)

Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting
por: Liu, Haoxin, et al.
Publicado: (2026)

ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting
por: Ma, Xiang, et al.
Publicado: (2025)

LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
por: Chang, Ching, et al.
Publicado: (2023)

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
por: Tao, Xiaoyu, et al.
Publicado: (2025)

Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
por: Lyu, Fuyuan, et al.
Publicado: (2025)

Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
por: Wang, Jiacheng, et al.
Publicado: (2026)

AWEMixer: Adaptive Wavelet-Enhanced Mixer Network for Long-Term Time Series Forecasting
por: Li, Qianyang, et al.
Publicado: (2025)

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
por: Chen, Xiwen, et al.
Publicado: (2024)

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
por: Dong, Jiaxiang, et al.
Publicado: (2024)

ScatterFusion: A Hierarchical Scattering Transform Framework for Enhanced Time Series Forecasting
por: Li, Wei
Publicado: (2026)

Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling
por: Yuan, Haochen, et al.
Publicado: (2026)

KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
por: Ding, Kuiye, et al.
Publicado: (2025)

Selective Learning for Deep Time Series Forecasting
por: Fu, Yisong, et al.
Publicado: (2025)

Multi-period Learning for Financial Time Series Forecasting
por: Zhang, Xu, et al.
Publicado: (2025)

Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
por: Li, Siyang, et al.
Publicado: (2024)

Is Mamba Effective for Time Series Forecasting?
por: Wang, Zihan, et al.
Publicado: (2024)

DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification
por: Chen, Jian, et al.
Publicado: (2026)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
por: Hu, Yifan, et al.
Publicado: (2024)

PAR: Plausibility-aware Amortized Recourse Generation
por: Sabu, Anagha, et al.
Publicado: (2026)

Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
por: Han, Yudong, et al.
Publicado: (2024)

Amortized Neural Clustering of Time Series based on Statistical Features
por: López-Oriona, Ángel, et al.
Publicado: (2026)

Nexus : An Agentic Framework for Time Series Forecasting
por: Das, Sarkar Snigdha Sarathi, et al.
Publicado: (2026)

Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
por: Wang, Hao, et al.
Publicado: (2025)

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

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

RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
por: Wang, Jieting, et al.
Publicado: (2025)

DPANet: Dual Pyramid Attention Network for Multivariate Time Series Forecasting
por: Li, Qianyang, et al.
Publicado: (2025)

Hierarchical Classification Auxiliary Network for Time Series Forecasting
por: Sun, Yanru, et al.
Publicado: (2024)

Ellipsoidal Time Series Forecasting
por: Wang, Qilin
Publicado: (2025)

QuitoBench: A High-Quality Open Time Series Forecasting Benchmark
por: Xue, Siqiao, et al.
Publicado: (2026)

Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification
por: M, Nivedita, et al.
Publicado: (2025)

Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
por: Wu, Wenfa, et al.
Publicado: (2025)

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

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

DPWMixer: Dual-Path Wavelet Mixer for Long-Term Time Series Forecasting
por: Qianyang, Li, et al.
Publicado: (2025)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
por: Park, Young-Jin, et al.
Publicado: (2024)

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
por: Zhang, Huanyu, et al.
Publicado: (2024)