Saved in:
| Main Authors: | Wang, Wei, Yang, Weidong, Wang, Lei, Wang, Guihua, Lei, Ruibo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.10665 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
by: Xu, Jingyi, et al.
Published: (2026)
by: Xu, Jingyi, et al.
Published: (2026)
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
by: Xu, Jingyi, et al.
Published: (2024)
by: Xu, Jingyi, et al.
Published: (2024)
TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization
by: Liu, Lei, et al.
Published: (2026)
by: Liu, Lei, et al.
Published: (2026)
SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting
by: Xu, Jingyi, et al.
Published: (2024)
by: Xu, Jingyi, et al.
Published: (2024)
Knowledge-Guided Time-Varying Causal Inference for Arctic Sea Ice Dynamics
by: Sampath, Akila, et al.
Published: (2026)
by: Sampath, Akila, et al.
Published: (2026)
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging
by: Li, Guan, et al.
Published: (2024)
by: Li, Guan, et al.
Published: (2024)
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
by: Cai, Xiuding, et al.
Published: (2024)
by: Cai, Xiuding, et al.
Published: (2024)
Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
by: Hossain, Emam, et al.
Published: (2025)
by: Hossain, Emam, et al.
Published: (2025)
VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025)
by: Cao, Lingxiao, et al.
Published: (2025)
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
by: Shao, Wei, et al.
Published: (2024)
by: Shao, Wei, et al.
Published: (2024)
A Decomposition Modeling Framework for Seasonal Time-Series Forecasting
by: Pang, Yining, et al.
Published: (2024)
by: Pang, Yining, et al.
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)
KAIROS: Unified Training for Universal Non-Autoregressive Time Series Forecasting
by: Ding, Kuiye, et al.
Published: (2025)
by: Ding, Kuiye, et al.
Published: (2025)
Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
by: Zhan, Zheng, et al.
Published: (2025)
by: Zhan, Zheng, et al.
Published: (2025)
Exploring Large Language Models for Climate Forecasting
by: Wang, Yang, et al.
Published: (2024)
by: Wang, Yang, et al.
Published: (2024)
State Space Models over Directed Graphs
by: She, Junzhi, et al.
Published: (2025)
by: She, Junzhi, et al.
Published: (2025)
Exploring State Space and Reasoning by Elimination in Tsetlin Machines
by: Kadhim, Ahmed K., et al.
Published: (2024)
by: Kadhim, Ahmed K., et al.
Published: (2024)
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting
by: Hu, Jiaxi, et al.
Published: (2024)
by: Hu, Jiaxi, et al.
Published: (2024)
GROW: Aligning GRPO with State-Action Modeling for Open-World VLM Agents
by: Wu, Xiongbin, et al.
Published: (2026)
by: Wu, Xiongbin, et al.
Published: (2026)
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
by: Wang, Chloe, et al.
Published: (2024)
by: Wang, Chloe, et al.
Published: (2024)
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
by: Ren, Lei, et al.
Published: (2024)
by: Ren, Lei, et al.
Published: (2024)
BeamVQ: Aligning Space-Time Forecasting Model via Self-training on Physics-aware Metrics
by: Wu, Hao, et al.
Published: (2024)
by: Wu, Hao, et al.
Published: (2024)
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
by: Danish, Muhammad Umair, et al.
Published: (2025)
by: Danish, Muhammad Umair, et al.
Published: (2025)
Adaptive Regime-Switching Forecasts with Distribution-Free Uncertainty: Deep Switching State-Space Models Meet Conformal Prediction
by: LU, Echo Diyun, et al.
Published: (2025)
by: LU, Echo Diyun, et al.
Published: (2025)
Monte Carlo Tree Search based Space Transfer for Black-box Optimization
by: Wang, Shukuan, et al.
Published: (2024)
by: Wang, Shukuan, et al.
Published: (2024)
LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning
by: Huang, Wei, et al.
Published: (2026)
by: Huang, Wei, et al.
Published: (2026)
Chemical Language Models for Natural Products: A State-Space Model Approach
by: Wang, Ho-Hsuan, et al.
Published: (2026)
by: Wang, Ho-Hsuan, et al.
Published: (2026)
Recognizing Dementia from Neuropsychological Tests with State Space Models
by: Wang, Liming, et al.
Published: (2025)
by: Wang, Liming, et al.
Published: (2025)
FACTS: A Factored State-Space Framework For World Modelling
by: Nanbo, Li, et al.
Published: (2024)
by: Nanbo, Li, et al.
Published: (2024)
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)
by: Wang, Tan, et al.
Published: (2025)
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models
by: Bhethanabhotla, Sathya Kamesh, et al.
Published: (2024)
by: Bhethanabhotla, Sathya Kamesh, et al.
Published: (2024)
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)
by: Ma, Le, et al.
Published: (2025)
WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
by: Gong, Junchao, et al.
Published: (2024)
by: Gong, Junchao, et al.
Published: (2024)
Prediction of Sea Ice Velocity and Concentration in the Arctic Ocean using Physics-informed Neural Network
by: Koo, Younghyun, et al.
Published: (2025)
by: Koo, Younghyun, et al.
Published: (2025)
Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning
by: He, Qianxi, et al.
Published: (2025)
by: He, Qianxi, et al.
Published: (2025)
Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting
by: Seo, Hyunwoo, et al.
Published: (2025)
by: Seo, Hyunwoo, et al.
Published: (2025)
Scaling Law for Time Series Forecasting
by: Shi, Jingzhe, et al.
Published: (2024)
by: Shi, Jingzhe, et al.
Published: (2024)
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
by: Yin, Tianyi, et al.
Published: (2024)
by: Yin, Tianyi, et al.
Published: (2024)
Similar Items
-
IceBench-S2S: A Benchmark of Deep Learning for Challenging Subseasonal-to-Seasonal Daily Arctic Sea Ice Forecasting in Deep Latent Space
by: Xu, Jingyi, et al.
Published: (2026) -
IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior
by: Xu, Jingyi, et al.
Published: (2024) -
TimeGMM: Single-Pass Probabilistic Forecasting via Adaptive Gaussian Mixture Models with Reversible Normalization
by: Liu, Lei, et al.
Published: (2026) -
SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting
by: Xu, Jingyi, et al.
Published: (2024) -
Knowledge-Guided Time-Varying Causal Inference for Arctic Sea Ice Dynamics
by: Sampath, Akila, et al.
Published: (2026)