Saved in:
| Main Authors: | Jiang, Qian, Sun, Liping |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.17091 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025)
by: Peng, Ziheng, et al.
Published: (2025)
From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search
by: Deng, Liping, et al.
Published: (2026)
by: Deng, Liping, et al.
Published: (2026)
ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning
by: Zhang, Qin, et al.
Published: (2024)
by: Zhang, Qin, et al.
Published: (2024)
APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift
by: Li, Yujie, et al.
Published: (2025)
by: Li, Yujie, et al.
Published: (2025)
Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications
by: Ghorbanian, Javad, et al.
Published: (2024)
by: Ghorbanian, Javad, et al.
Published: (2024)
Inference Privacy: Properties and Mechanisms
by: Tian, Fengwei, et al.
Published: (2024)
by: Tian, Fengwei, et al.
Published: (2024)
Decision-focused Sensing and Forecasting for Adaptive and Rapid Flood Response: An Implicit Learning Approach
by: Sun, Qian, et al.
Published: (2025)
by: Sun, Qian, et al.
Published: (2025)
Beyond Distribution Estimation: Simplex Anchored Structural Inference Towards Universal Semi-Supervised Learning
by: Hou, Yaxin, et al.
Published: (2026)
by: Hou, Yaxin, et al.
Published: (2026)
Pre-training Epidemic Time Series Forecasters with Compartmental Prototypes
by: Liu, Zewen, et al.
Published: (2025)
by: Liu, Zewen, et al.
Published: (2025)
Time-series Forecast for Indoor Zone Air Temperature with Long Horizons: A Case Study with Sensor-based Data from a Smart Building
by: Sun, Liping, et al.
Published: (2025)
by: Sun, Liping, et al.
Published: (2025)
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
Interpretable Water Level Forecaster with Spatiotemporal Causal Attention Mechanisms
by: Hong, Sungchul, et al.
Published: (2023)
by: Hong, Sungchul, et al.
Published: (2023)
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism
by: Froehlich, Philipp, et al.
Published: (2024)
by: Froehlich, Philipp, et al.
Published: (2024)
Auditing Privacy Mechanisms via Label Inference Attacks
by: Busa-Fekete, Róbert István, et al.
Published: (2024)
by: Busa-Fekete, Róbert István, et al.
Published: (2024)
Anchored Variational Inference for Personalized Sequential Latent-State Models
by: Guo, Xingche
Published: (2026)
by: Guo, Xingche
Published: (2026)
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
by: Arazzi, Marco, et al.
Published: (2024)
by: Arazzi, Marco, et al.
Published: (2024)
Forecasting Foreign Exchange Market Prices Using Technical Indicators with Deep Learning and Attention Mechanism
by: Saadati, Sahabeh, et al.
Published: (2024)
by: Saadati, Sahabeh, et al.
Published: (2024)
Forecasting GPU Performance for Deep Learning Training and Inference
by: Lee, Seonho, et al.
Published: (2024)
by: Lee, Seonho, et al.
Published: (2024)
Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning
by: Ling, Chih Wei, et al.
Published: (2025)
by: Ling, Chih Wei, et al.
Published: (2025)
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
by: Freiesleben, Timo, et al.
Published: (2022)
by: Freiesleben, Timo, et al.
Published: (2022)
CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
by: Wang, Ruiyu, et al.
Published: (2025)
by: Wang, Ruiyu, et al.
Published: (2025)
Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
by: Pal, Arka, et al.
Published: (2026)
by: Pal, Arka, et al.
Published: (2026)
Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026)
by: Ahuja, Rishi, et al.
Published: (2026)
Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism
by: Yan, Jiaming, et al.
Published: (2025)
by: Yan, Jiaming, et al.
Published: (2025)
PeriodNet: Boosting the Potential of Attention Mechanism for Time Series Forecasting
by: Zhao, Bowen, et al.
Published: (2025)
by: Zhao, Bowen, et al.
Published: (2025)
Driving Mechanisms and Forecasting of China's Pet Population-An ARIMA-RF-HW Hybrid Approach
by: Chang, Shengjia, et al.
Published: (2025)
by: Chang, Shengjia, et al.
Published: (2025)
Non-Stationary Time Series Forecasting Based on Fourier Analysis and Cross Attention Mechanism
by: Xiong, Yuqi, et al.
Published: (2025)
by: Xiong, Yuqi, et al.
Published: (2025)
Great GATsBi: Hybrid, Multimodal, Trajectory Forecasting for Bicycles using Anticipation Mechanism
by: Riehl, Kevin, et al.
Published: (2025)
by: Riehl, Kevin, et al.
Published: (2025)
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting
by: Aguilera-Martos, Ignacio, et al.
Published: (2024)
by: Aguilera-Martos, Ignacio, et al.
Published: (2024)
Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time
by: Zhao, Mingkuan, et al.
Published: (2026)
by: Zhao, Mingkuan, et al.
Published: (2026)
From Residuals to Reasons: LLM-Guided Mechanism Inference from Tabular Data
by: Rezaei, Mohammad R., et al.
Published: (2026)
by: Rezaei, Mohammad R., et al.
Published: (2026)
Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
by: Song, Xianhao, et al.
Published: (2026)
by: Song, Xianhao, et al.
Published: (2026)
Sim-Anchored Learning for On-the-Fly Adaptation
by: Mabsout, Bassel El, et al.
Published: (2023)
by: Mabsout, Bassel El, et al.
Published: (2023)
A Framework for Inference Inspired by Human Memory Mechanisms
by: Zeng, Xiangyu, et al.
Published: (2023)
by: Zeng, Xiangyu, et al.
Published: (2023)
ProteinPNet: Prototypical Part Networks for Concept Learning in Spatial Proteomics
by: McConnell, Louis, et al.
Published: (2025)
by: McConnell, Louis, et al.
Published: (2025)
Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges
by: Ramachandran, Adithya, et al.
Published: (2025)
by: Ramachandran, Adithya, et al.
Published: (2025)
Deep Stochastic Mechanics
by: Orlova, Elena, et al.
Published: (2023)
by: Orlova, Elena, et al.
Published: (2023)
Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
by: Filter, Björn, et al.
Published: (2024)
by: Filter, Björn, et al.
Published: (2024)
Node-Level Financial Optimization in Demand Forecasting Through Dynamic Cost Asymmetry and Feedback Mechanism
by: Casadei, Alessandro, et al.
Published: (2025)
by: Casadei, Alessandro, et al.
Published: (2025)
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
by: Murgai, Sharv, et al.
Published: (2024)
by: Murgai, Sharv, et al.
Published: (2024)
Similar Items
-
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025) -
From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search
by: Deng, Liping, et al.
Published: (2026) -
ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning
by: Zhang, Qin, et al.
Published: (2024) -
APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift
by: Li, Yujie, et al.
Published: (2025) -
Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications
by: Ghorbanian, Javad, et al.
Published: (2024)