Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhao, Yanjun, Zhou, Tian, Chen, Chao, Sun, Liang, Qian, Yi, Jin, Rong |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
par: Chen, Chao, et autres
Publié: (2023)
par: Chen, Chao, et autres
Publié: (2023)
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting
par: Ma, Ziqing, et autres
Publié: (2024)
par: Ma, Ziqing, et autres
Publié: (2024)
Attention as Robust Representation for Time Series Forecasting
par: Niu, PeiSong, et autres
Publié: (2024)
par: Niu, PeiSong, et autres
Publié: (2024)
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
par: Wang, Weiyan, et autres
Publié: (2025)
par: Wang, Weiyan, et autres
Publié: (2025)
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
par: Sun, Tian, et autres
Publié: (2025)
par: Sun, Tian, et autres
Publié: (2025)
Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
par: Hu, Yifan, et autres
Publié: (2025)
par: Hu, Yifan, et autres
Publié: (2025)
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
par: Deng, Juncan, et autres
Publié: (2024)
par: Deng, Juncan, et autres
Publié: (2024)
Transformer-VQ: Linear-Time Transformers via Vector Quantization
par: Lingle, Lucas D.
Publié: (2023)
par: Lingle, Lucas D.
Publié: (2023)
CommVQ: Commutative Vector Quantization for KV Cache Compression
par: Li, Junyan, et autres
Publié: (2025)
par: Li, Junyan, et autres
Publié: (2025)
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT
par: Ling, Tianheng, et autres
Publié: (2024)
par: Ling, Tianheng, et autres
Publié: (2024)
VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation
par: Noravesh, Farshad, et autres
Publié: (2026)
par: Noravesh, Farshad, et autres
Publié: (2026)
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
par: Liu, Peiyuan, et autres
Publié: (2024)
par: Liu, Peiyuan, et autres
Publié: (2024)
ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
par: Kim, Jaeyung, et autres
Publié: (2026)
par: Kim, Jaeyung, et autres
Publié: (2026)
Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates
par: Yang, Linxiao, et autres
Publié: (2026)
par: Yang, Linxiao, et autres
Publié: (2026)
VARMA-Enhanced Transformer for Time Series Forecasting
par: Song, Jiajun, et autres
Publié: (2025)
par: Song, Jiajun, et autres
Publié: (2025)
LATST: Are Transformers Necessarily Complex for Time-Series Forecasting
par: Liang, Dizhen
Publié: (2024)
par: Liang, Dizhen
Publié: (2024)
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
par: Xu, Xiongxiao, et autres
Publié: (2024)
par: Xu, Xiongxiao, et autres
Publié: (2024)
VQ-DeepISC: Vector Quantized-Enabled Digital Semantic Communication with Channel Adaptive Image Transmission
par: Chen, Jianqiao, et autres
Publié: (2025)
par: Chen, Jianqiao, et autres
Publié: (2025)
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization
par: Zhang, Yiwei, et autres
Publié: (2024)
par: Zhang, Yiwei, et autres
Publié: (2024)
Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs
par: Zhao, Taibiao, et autres
Publié: (2025)
par: Zhao, Taibiao, et autres
Publié: (2025)
Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting
par: Guo, Yangyang, et autres
Publié: (2024)
par: Guo, Yangyang, et autres
Publié: (2024)
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting
par: Ouyang, Pengpeng, et autres
Publié: (2025)
par: Ouyang, Pengpeng, et autres
Publié: (2025)
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
par: Li, Siyuan, et autres
Publié: (2025)
par: Li, Siyuan, et autres
Publié: (2025)
Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Workloads
par: Song, Chendong, et autres
Publié: (2026)
par: Song, Chendong, et autres
Publié: (2026)
Accurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
par: Gao, Lei, et autres
Publié: (2026)
par: Gao, Lei, et autres
Publié: (2026)
SEDformer: Event-Synchronous Spiking Transformers for Irregular Telemetry Time Series Forecasting
par: Zhou, Ziyu, et autres
Publié: (2026)
par: Zhou, Ziyu, et autres
Publié: (2026)
Breaking the Context Bottleneck on Long Time Series Forecasting
par: Ma, Chao, et autres
Publié: (2024)
par: Ma, Chao, et autres
Publié: (2024)
Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN
par: Xu, Yao, et autres
Publié: (2025)
par: Xu, Yao, et autres
Publié: (2025)
SDMixer: Sparse Dual-Mixer for Time Series Forecasting
par: Ao, Xiang
Publié: (2026)
par: Ao, Xiang
Publié: (2026)
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View
par: Niu, Peisong, et autres
Publié: (2023)
par: Niu, Peisong, et autres
Publié: (2023)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
par: Jin, Ming, et autres
Publié: (2023)
par: Jin, Ming, et autres
Publié: (2023)
FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
par: Yue, Wenzhen, et autres
Publié: (2025)
par: Yue, Wenzhen, et autres
Publié: (2025)
Enhancing Large Language Models for Time-Series Forecasting via Vector-Injected In-Context Learning
par: Zhang, Jianqi, et autres
Publié: (2026)
par: Zhang, Jianqi, et autres
Publié: (2026)
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
par: Zhou, Hanzhang, et autres
Publié: (2024)
par: Zhou, Hanzhang, et autres
Publié: (2024)
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
par: Piao, Xihao, et autres
Publié: (2024)
par: Piao, Xihao, et autres
Publié: (2024)
Why Do Transformers Fail to Forecast Time Series In-Context?
par: Zhou, Yufa, et autres
Publié: (2025)
par: Zhou, Yufa, et autres
Publié: (2025)
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
par: Lu, Jiecheng, et autres
Publié: (2024)
par: Lu, Jiecheng, et autres
Publié: (2024)
HAS-VQ: Hessian-Adaptive Sparse Vector Quantization for High-Fidelity LLM Compression
par: Khasia, Vladimer
Publié: (2026)
par: Khasia, Vladimer
Publié: (2026)
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
par: Feng, Shibo, et autres
Publié: (2025)
par: Feng, Shibo, et autres
Publié: (2025)
Nexus : An Agentic Framework for Time Series Forecasting
par: Das, Sarkar Snigdha Sarathi, et autres
Publié: (2026)
par: Das, Sarkar Snigdha Sarathi, et autres
Publié: (2026)
Documents similaires
-
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
par: Chen, Chao, et autres
Publié: (2023) -
FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting
par: Ma, Ziqing, et autres
Publié: (2024) -
Attention as Robust Representation for Time Series Forecasting
par: Niu, PeiSong, et autres
Publié: (2024) -
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
par: Wang, Weiyan, et autres
Publié: (2025) -
PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
par: Sun, Tian, et autres
Publié: (2025)