TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Ankireddy, Sravan Kumar, Seleznev, Nikita, Nguyen, Nam H., Wu, Yulun, Kumar, Senthil, Huang, Furong, Bruss, C. Bayan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer
by: Wu, Yulun, et al.
Published: (2026)
by: Wu, Yulun, et al.
Published: (2026)
Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025)
by: Chen, Yuen, et al.
Published: (2025)
Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
by: Jayawardhana, Mayuka, et al.
Published: (2026)
by: Jayawardhana, Mayuka, et al.
Published: (2026)
LightCode: Light Analytical and Neural Codes for Channels with Feedback
by: Ankireddy, Sravan Kumar, et al.
Published: (2024)
by: Ankireddy, Sravan Kumar, et al.
Published: (2024)
BEDTime: A Unified Benchmark for Automatically Describing Time Series
by: Sen, Medhasweta, et al.
Published: (2025)
by: Sen, Medhasweta, et al.
Published: (2025)
Patch-Level Tokenization with CNN Encoders and Attention for Improved Transformer Time-Series Forecasting
by: Nagrath, Saurish, et al.
Published: (2026)
by: Nagrath, Saurish, et al.
Published: (2026)
Nested Construction of Polar Codes via Transformers
by: Ankireddy, Sravan Kumar, et al.
Published: (2024)
by: Ankireddy, Sravan Kumar, et al.
Published: (2024)
Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
by: Fathony, Rizal, et al.
Published: (2025)
by: Fathony, Rizal, et al.
Published: (2025)
PatchDecomp: Interpretable Patch-Based Time Series Forecasting
by: Tomioka, Hiroki, et al.
Published: (2026)
by: Tomioka, Hiroki, et al.
Published: (2026)
Exploring Explainability in Video Action Recognition
by: Saha, Avinab, et al.
Published: (2024)
by: Saha, Avinab, et al.
Published: (2024)
Expert System for Bitcoin Forecasting: Integrating Global Liquidity via TimeXer Transformers
by: T, Sravan Karthick
Published: (2025)
by: T, Sravan Karthick
Published: (2025)
Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)
by: Zheng, Wenqing, et al.
Published: (2026)
PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting
by: Niu, Yiming, et al.
Published: (2025)
by: Niu, Yiming, et al.
Published: (2025)
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
by: Tang, Peiwang, et al.
Published: (2024)
by: Tang, Peiwang, et al.
Published: (2024)
An Adversarial Learning Approach to Irregular Time-Series Forecasting
by: Nam, Heejeong, et al.
Published: (2024)
by: Nam, Heejeong, et al.
Published: (2024)
Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition
by: Bumb, Mayank, et al.
Published: (2025)
by: Bumb, Mayank, et al.
Published: (2025)
Entropy Guided Dynamic Patch Segmentation for Time Series Transformers
by: Abeywickrama, Sachith, et al.
Published: (2025)
by: Abeywickrama, Sachith, et al.
Published: (2025)
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
by: Li, Dongyuan, et al.
Published: (2026)
by: Li, Dongyuan, et al.
Published: (2026)
A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting
by: Caldas, Francisco, et al.
Published: (2026)
by: Caldas, Francisco, et al.
Published: (2026)
Unified Training of Universal Time Series Forecasting Transformers
by: Woo, Gerald, et al.
Published: (2024)
by: Woo, Gerald, et al.
Published: (2024)
Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare
by: Noroozizadeh, Shahriar, et al.
Published: (2025)
by: Noroozizadeh, Shahriar, et al.
Published: (2025)
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
by: Ekambaram, Vijay, et al.
Published: (2024)
by: Ekambaram, Vijay, et al.
Published: (2024)
PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback
by: Yuan, Dehao, et al.
Published: (2026)
by: Yuan, Dehao, et al.
Published: (2026)
Time Series Forecasting Through the Lens of Dynamics
by: Brachet, Alexis-Raja, et al.
Published: (2025)
by: Brachet, Alexis-Raja, et al.
Published: (2025)
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding
by: Shin, Donghwa, et al.
Published: (2025)
by: Shin, Donghwa, et al.
Published: (2025)
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
by: Stitsyuk, Artyom, et al.
Published: (2024)
by: Stitsyuk, Artyom, et al.
Published: (2024)
Residual Diffusion Models for Variable-Rate Joint Source Channel Coding of MIMO CSI
by: Ankireddy, Sravan Kumar, et al.
Published: (2025)
by: Ankireddy, Sravan Kumar, et al.
Published: (2025)
Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting
by: Medeiros, Heitor R., et al.
Published: (2025)
by: Medeiros, Heitor R., et al.
Published: (2025)
Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)
by: Wu, Haixiang
Published: (2024)
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding
by: Ding, Kuiye, et al.
Published: (2025)
by: Ding, Kuiye, et al.
Published: (2025)
Distilling Time Series Foundation Models for Efficient Forecasting
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
EnergyPatchTST: Multi-scale Time Series Transformers with Uncertainty Estimation for Energy Forecasting
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching
by: Wang, Meng, et al.
Published: (2025)
by: Wang, Meng, et al.
Published: (2025)
Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
Learning to Embed Time Series Patches Independently
by: Lee, Seunghan, et al.
Published: (2023)
by: Lee, Seunghan, et al.
Published: (2023)
DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
by: Mysore, Naveen
Published: (2026)
by: Mysore, Naveen
Published: (2026)
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
by: Nguyen, Thanh Son, et al.
Published: (2025)
by: Nguyen, Thanh Son, et al.
Published: (2025)
Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)
by: Nguyen, Huu Hiep, et al.
Published: (2026)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)
by: Lee, Jaehoon, et al.
Published: (2026)
Accelerating Object Detection with YOLOv4 for Real-Time Applications
by: Kumar, K. Senthil, et al.
Published: (2024)
by: Kumar, K. Senthil, et al.
Published: (2024)
Similar Items
-
Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer
by: Wu, Yulun, et al.
Published: (2026) -
Bridging the Divide: End-to-End Sequence-Graph Learning
by: Chen, Yuen, et al.
Published: (2025) -
Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
by: Jayawardhana, Mayuka, et al.
Published: (2026) -
LightCode: Light Analytical and Neural Codes for Channels with Feedback
by: Ankireddy, Sravan Kumar, et al.
Published: (2024) -
BEDTime: A Unified Benchmark for Automatically Describing Time Series
by: Sen, Medhasweta, et al.
Published: (2025)