Cover Image

DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yuqi, Ding, Kuiye, Yang, Chuanguang, Wang, Hao, Wang, Haoxuan, Duan, Huiran, Liu, Junming, Tian, Yingli
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
by: Li, Yuqi, et al.
Published: (2025)

GaitKD: A Universal Decoupled Distillation Framework for Efficient Gait Recognition
by: Li, Yuqi, et al.
Published: (2026)

TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
by: Ding, Kuiye, et al.
Published: (2025)

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

Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
by: Wang, Hao, et al.
Published: (2025)

DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework
by: Ding, Kuiye, et al.
Published: (2025)

Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)

DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
by: Wang, Hao, et al.
Published: (2025)

RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models
by: Wu, Hao, et al.
Published: (2026)

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting
by: Pan, Licheng, et al.
Published: (2025)

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

Breaking the Context Bottleneck on Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling
by: Sun, Yifei, et al.
Published: (2025)

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting
by: Zeng, Chen, et al.
Published: (2026)

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
by: Yu, Chengqing, et al.
Published: (2025)

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
by: Sun, Tian, et al.
Published: (2025)

SepPrune: Structured Pruning for Efficient Deep Speech Separation
by: Li, Yuqi, et al.
Published: (2025)

DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation
by: Peng, Hao, et al.
Published: (2020)

Deep Time-series Forecasting Needs Kernelized Moment Balancing
by: Pan, Licheng, et al.
Published: (2026)

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models
by: Liu, Yiwen, et al.
Published: (2025)

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
by: Ding, Jianrong, et al.
Published: (2024)

Prioritize Alignment in Dataset Distillation
by: Li, Zekai, et al.
Published: (2024)

SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
by: Ding, Hang, et al.
Published: (2025)

Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics
by: Zhang, Wenqing, et al.
Published: (2024)

ASGMamba: Adaptive Spectral Gating Mamba for Multivariate Time Series Forecasting
by: Li, Qianyang, et al.
Published: (2026)

GaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization
by: Duan, Huiran, et al.
Published: (2026)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
by: Liu, Chenxi, et al.
Published: (2024)

Hit-RAG: Learning to Reason with Long Contexts via Preference Alignment
by: Liu, Junming, et al.
Published: (2026)

DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
by: Ding, Ruixin, et al.
Published: (2024)

AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models
by: Li, Yuqi, et al.
Published: (2025)

MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models
by: Li, Yuqi, et al.
Published: (2025)

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026)

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
by: Wang, Siyuan, et al.
Published: (2026)

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

Towards Principled Dataset Distillation: A Spectral Distribution Perspective
by: Wu, Ruixi, et al.
Published: (2026)

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

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)