A Multi-Task Learning Approach to Linear Multivariate Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Nochumsohn, Liran, Zisling, Hedi, Azencot, Omri |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
by: Nochumsohn, Liran, et al.
Published: (2025)
by: Nochumsohn, Liran, et al.
Published: (2025)
Data Augmentation Policy Search for Long-Term Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024)
by: Nochumsohn, Liran, et al.
Published: (2024)
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024)
by: Nochumsohn, Liran, et al.
Published: (2024)
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
by: Berman, Nimrod, et al.
Published: (2025)
by: Berman, Nimrod, et al.
Published: (2025)
FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video
by: Ezra, Rotem, et al.
Published: (2025)
by: Ezra, Rotem, et al.
Published: (2025)
DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
by: Zisling, Hedi, et al.
Published: (2025)
by: Zisling, Hedi, et al.
Published: (2025)
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning
by: Kaufman, Ilya, et al.
Published: (2024)
by: Kaufman, Ilya, et al.
Published: (2024)
Unraveling Hidden Representations: A Multi-Modal Layer Analysis for Better Synthetic Content Forensics
by: Or, Tom, et al.
Published: (2025)
by: Or, Tom, et al.
Published: (2025)
vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2026)
by: Yue, Wenzhen, et al.
Published: (2026)
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes
by: Berman, Nimrod, et al.
Published: (2024)
by: Berman, Nimrod, et al.
Published: (2024)
Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)
by: Cao, Fanpu, et al.
Published: (2024)
Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
by: Zubair, Md, et al.
Published: (2024)
by: Zubair, Md, et al.
Published: (2024)
Bridging Efficiency and Safety: Formal Verification of Neural Networks with Early Exits
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)
by: Elboher, Yizhak Yisrael, et al.
Published: (2025)
FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems
by: Erichson, N. Benjamin, et al.
Published: (2025)
by: Erichson, N. Benjamin, et al.
Published: (2025)
First-Order Manifold Data Augmentation for Regression Learning
by: Kaufman, Ilya, et al.
Published: (2024)
by: Kaufman, Ilya, et al.
Published: (2024)
Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
by: Berman, Nimrod, et al.
Published: (2025)
by: Berman, Nimrod, et al.
Published: (2025)
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
by: Yu, Chengqing, et al.
Published: (2025)
by: Yu, Chengqing, et al.
Published: (2025)
Transformer Multivariate Forecasting: Less is More?
by: Xu, Jingjing, et al.
Published: (2023)
by: Xu, Jingjing, et al.
Published: (2023)
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
by: Chatzigeorgakidis, Georgios, et al.
Published: (2024)
by: Chatzigeorgakidis, Georgios, et al.
Published: (2024)
SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
by: Wang, Shaoxun, et al.
Published: (2025)
by: Wang, Shaoxun, et al.
Published: (2025)
Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)
by: Wu, Haixiang
Published: (2024)
Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
XCTFormer: Leveraging Cross-Channel and Cross-Time Dependencies for Enhanced Time-Series Analysis
by: Zexer, Israel, et al.
Published: (2026)
by: Zexer, Israel, et al.
Published: (2026)
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
by: Faez, Faezeh, et al.
Published: (2024)
by: Faez, Faezeh, et al.
Published: (2024)
CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting
by: Hang, Renlong, et al.
Published: (2026)
by: Hang, Renlong, et al.
Published: (2026)
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
by: Zhao, Lifan, et al.
Published: (2024)
by: Zhao, Lifan, et al.
Published: (2024)
Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)
by: Yi, Kun, et al.
Published: (2024)
Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks
by: Raj, Joseph Arul, et al.
Published: (2024)
by: Raj, Joseph Arul, et al.
Published: (2024)
EnTransformer: A Deep Generative Transformer for Multivariate Probabilistic Forecasting
by: Pathak, Rajdeep, et al.
Published: (2026)
by: Pathak, Rajdeep, et al.
Published: (2026)
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)
by: Feng, Shibo, et al.
Published: (2025)
Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
by: Cortés, Adrien, et al.
Published: (2025)
by: Cortés, Adrien, et al.
Published: (2025)
Spatio-temporal Multivariate Time Series Forecast with Chosen Variables
by: Liu, Zibo, et al.
Published: (2025)
by: Liu, Zibo, et al.
Published: (2025)
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)
by: Wang, Tan, et al.
Published: (2025)
Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
by: Luo, Yuchen, et al.
Published: (2025)
by: Luo, Yuchen, et al.
Published: (2025)
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)
by: Hu, Jiaxi, et al.
Published: (2024)
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
by: Gong, Aicheng, et al.
Published: (2024)
by: Gong, Aicheng, et al.
Published: (2024)
Similar Items
-
Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting
by: Nochumsohn, Liran, et al.
Published: (2025) -
Data Augmentation Policy Search for Long-Term Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024) -
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
by: Nochumsohn, Liran, et al.
Published: (2024) -
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
by: Berman, Nimrod, et al.
Published: (2025) -
FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video
by: Ezra, Rotem, et al.
Published: (2025)