Cover Image

Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meskin, Asal, Mirrokni, Alireza, Najar, Ali, Behrouz, Ali
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Titans: Learning to Memorize at Test Time
by: Behrouz, Ali, et al.
Published: (2024)

Trellis: Learning to Compress Key-Value Memory in Attention Models
by: Karami, Mahdi, et al.
Published: (2025)

Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
by: Behrouz, Ali, et al.
Published: (2024)

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
by: Behrouz, Ali, et al.
Published: (2025)

Memory Caching: RNNs with Growing Memory
by: Behrouz, Ali, et al.
Published: (2026)

Nested Learning: The Illusion of Deep Learning Architectures
by: Behrouz, Ali, et al.
Published: (2025)

MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling
by: Karami, Mahdi, et al.
Published: (2025)

Eye-Q: A Multilingual Benchmark for Visual Word Puzzle Solving and Image-to-Phrase Reasoning
by: Najar, Ali, et al.
Published: (2026)

Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
by: Behrouz, Ali, et al.
Published: (2024)

TNT: Improving Chunkwise Training for Test-Time Memorization
by: Li, Zeman, et al.
Published: (2025)

Relational Graph Convolutional Networks for Sentiment Analysis
by: Khosravi, Asal, et al.
Published: (2024)

Graph Mamba: Towards Learning on Graphs with State Space Models
by: Behrouz, Ali, et al.
Published: (2024)

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
by: Middlehurst, Matthew, et al.
Published: (2026)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)

Optimal Regularization for Performative Learning
by: Cyffers, Edwige, et al.
Published: (2025)

MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
by: Behrouz, Ali, et al.
Published: (2024)

Deep Learning For Time Series Analysis With Application On Human Motion
by: Ismail-Fawaz, Ali
Published: (2025)

Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series
by: Mortezanejad, Seyedeh Azadeh Fallah, et al.
Published: (2025)

MTS-UNMixers: Multivariate Time Series Forecasting via Channel-Time Dual Unmixing
by: Zhu, Xuanbing, et al.
Published: (2024)

MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
by: Kim, Minha, et al.
Published: (2024)

The Meta-Learning Gap: Combining Hydra and Quant for Large-Scale Time Series Classification
by: Maniar, Urav
Published: (2025)

Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies
by: Xie, Yongzheng, et al.
Published: (2025)

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis
by: An, Rui, et al.
Published: (2026)

Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series
by: Wang, Muyao, et al.
Published: (2024)

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

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
by: Yu, Lingrui
Published: (2023)

On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025)

Lattice: Learning to Efficiently Compress the Memory
by: Karami, Mahdi, et al.
Published: (2025)

SubGen: Token Generation in Sublinear Time and Memory
by: Zandieh, Amir, et al.
Published: (2024)

HydraViT: Stacking Heads for a Scalable ViT
by: Haberer, Janek, et al.
Published: (2024)

xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
by: Stitsyuk, Artyom, et al.
Published: (2024)

Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
by: Huang, Xiaoyu, et al.
Published: (2024)

Stationarity Exploration for Multivariate Time Series Forecasting
by: Liu, Hao, et al.
Published: (2025)

Algorithmic Recourse in Abnormal Multivariate Time Series
by: Han, Xiao, et al.
Published: (2023)

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
by: Liu, Jiexi, et al.
Published: (2024)

Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
by: Du, Mingsen, et al.
Published: (2024)

HIERVAR: A Hierarchical Feature Selection Method for Time Series Analysis
by: Keshavarzian, Alireza, et al.
Published: (2024)

Spectral Differential Network Analysis for High-Dimensional Time Series
by: Hellstern, Michael, et al.
Published: (2024)

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
by: Han, Lu, et al.
Published: (2024)

xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
by: Kraus, Maurice, et al.
Published: (2024)