Cover Image

Transformer-based Drum-level Prediction in a Boiler Plant with Delayed Relations among Multivariates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Su, Gang, Yang, Sun, Li, Zhishuai
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)

Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
by: Liu, Zhishuai, et al.
Published: (2024)

Communication-Efficient Federated Group Distributionally Robust Optimization
by: Guo, Zhishuai, et al.
Published: (2024)

Airport Delay Prediction with Temporal Fusion Transformers
by: Liu, Ke, et al.
Published: (2024)

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)

WaterDrum: Watermarking for Data-centric Unlearning Metric
by: Lu, Xinyang, et al.
Published: (2025)

Transformer-based Multivariate Time Series Anomaly Localization
by: Shimillas, Charalampos, et al.
Published: (2025)

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)

Dynamic Relational Priming Improves Transformer in Multivariate Time Series
by: Lee, Hunjae, et al.
Published: (2025)

Univariate Skeleton Prediction in Multivariate Systems Using Transformers
by: Morales, Giorgio, et al.
Published: (2024)

Linear Mixture Distributionally Robust Markov Decision Processes
by: Liu, Zhishuai, et al.
Published: (2025)

Toward Deep Drum Source Separation
by: Mezza, Alessandro Ilic, et al.
Published: (2023)

Noise-to-Notes: Diffusion-based Generation and Refinement for Automatic Drum Transcription
by: Yeung, Michael, et al.
Published: (2025)

Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
by: Guo, Yiqing, et al.
Published: (2024)

Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization
by: Qin, Zhen, et al.
Published: (2023)

EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions
by: Chakraborty, Sanjay, et al.
Published: (2024)

Transformer Multivariate Forecasting: Less is More?
by: Xu, Jingjing, et al.
Published: (2023)

MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series
by: Chen, Zhicheng, et al.
Published: (2024)

RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
by: Chen, PengYu, et al.
Published: (2025)

PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
by: Yu, Yongbo, et al.
Published: (2024)

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
by: Jiang, Jiawei, et al.
Published: (2023)

Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning
by: Liu, Zhishuai, et al.
Published: (2024)

TraM : Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles
by: Kim, Jinjae, et al.
Published: (2024)

Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification
by: Ikeda, Sosei, et al.
Published: (2025)

DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
by: Liu, Qinshuo, et al.
Published: (2024)

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy
by: Cui, Peng, et al.
Published: (2024)

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

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
by: Wang, Zepu, et al.
Published: (2024)

Multivariate Conformal Prediction using Optimal Transport
by: Klein, Michal, et al.
Published: (2025)

GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series
by: Tu, Gang, et al.
Published: (2024)

Credal Prediction based on Relative Likelihood
by: Löhr, Timo, et al.
Published: (2025)

Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
by: Choromanski, Krzysztof Marcin, et al.
Published: (2023)

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

Distributed Lag Transformer based on Time-Variable-Aware Learning for Explainable Multivariate Time Series Forecasting
by: Kim, Younghwi, et al.
Published: (2024)

MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)

Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator
by: Guo, Zhishuai, et al.
Published: (2021)

Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
by: Lee, Hunjae, et al.
Published: (2025)

Multivariate Data Augmentation for Predictive Maintenance using Diffusion
by: Thompson, Andrew, et al.
Published: (2024)

Neural Optimal Transport Meets Multivariate Conformal Prediction
by: Kondratyev, Vladimir, et al.
Published: (2025)