:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Gokhman, Ruslan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.10866
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)

2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
by: Zhang, Yajuan, et al.
Published: (2025)

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables
by: Zhou, Pengfei, et al.
Published: (2025)

Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
by: Dalal, Murtaza, et al.
Published: (2024)

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2025)

AI-Driven Forecasting and Monitoring of Urban Water System
by: Guo, Qiming, et al.
Published: (2025)

Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
by: Smyl, Slawek, et al.
Published: (2025)

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
by: Li, Zhengyu, et al.
Published: (2026)

Disentangled Parameter-Efficient Linear Model for Long-Term Time Series Forecasting
by: Zhao, Yuang, et al.
Published: (2024)

An Adaptive Horizon-Aware Model Selection Framework for Demand Forecasting under Horizon-Induced Degradation
by: González, Adolfo, et al.
Published: (2026)

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
by: Lu, Jiecheng, et al.
Published: (2025)

Mixture-of-Linear-Experts for Long-term Time Series Forecasting
by: Ni, Ronghao, et al.
Published: (2023)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)

On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
by: Kim, Sunghwan, et al.
Published: (2026)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
by: Li, Zhe, et al.
Published: (2023)

Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models
by: Mousakhan, Arian, et al.
Published: (2025)

CATS-Linear: Classification Auxiliary Linear Model for Time Series Forecasting
by: Jibao, Zipo, et al.
Published: (2025)

FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
by: Zhao, Yiji, et al.
Published: (2026)

Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
by: Clinton, Joseph, et al.
Published: (2024)

Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
by: Kakde, Shubham Tanaji, et al.
Published: (2024)

Assessing Electricity Demand Forecasting with Exogenous Data in Time Series Foundation Models
by: Cheong, Wei Soon, et al.
Published: (2026)

Reinforcement Learning with Exogenous States and Rewards
by: Trimponias, George, et al.
Published: (2023)

LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning
by: Motwani, Sumeet Ramesh, et al.
Published: (2026)

Revolutionizing Long-Term Memory in AI: New Horizons with High-Capacity and High-Speed Storage
by: Yamanaka, Hiroaki, et al.
Published: (2026)

Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
by: Punati, Santhi Bharath, et al.
Published: (2025)

vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting
by: Yue, Wenzhen, et al.
Published: (2026)

Intrinsic Credit Assignment for Long Horizon Interaction
by: Auzina, Ilze Amanda, et al.
Published: (2026)

ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables
by: Arango, Sebastian Pineda, et al.
Published: (2025)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System
by: Kumar, Priyanka
Published: (2024)

A Unified Framework for Next-Gen Urban Forecasting via LLM-driven Dependency Retrieval and GeoTransformer
by: Jia, Yuhao, et al.
Published: (2024)

Thinking While Listening: Fast-Slow Recurrence for Long-Horizon Sequential Modeling
by: Takashiro, Shota, et al.
Published: (2026)

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
by: Tang, Dahao, et al.
Published: (2025)

FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
by: Li, Ruiqi, et al.
Published: (2024)

Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
by: Karpukhin, Ivan, et al.
Published: (2024)

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
by: Cheng, Xin, et al.
Published: (2024)

ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers
by: Weyrauch, Arvid, et al.
Published: (2024)

Reinforcement Learning for Long-Horizon Interactive LLM Agents
by: Chen, Kevin, et al.
Published: (2025)

Hindsight Credit Assignment for Long-Horizon LLM Agents
by: Tan, Hui-Ze, et al.
Published: (2026)