Imagen de Portada

Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Kinjo, Keita
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence 68T05, 62M10, 62P20 I.2.6; I.5.1; I.5.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
por: Tirumala, Aditya Puttaparthi
Publicado: (2025)

Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
por: Hallak, Khaled, et al.
Publicado: (2025)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
por: Alagöz, Celal, et al.
Publicado: (2026)

Less is More: Strategic Expert Selection Outperforms Ensemble Complexity in Traffic Forecasting
por: Guettala, Walid, et al.
Publicado: (2025)

Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
por: González, Adolfo, et al.
Publicado: (2025)

Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
por: Abedinia, Aydin, et al.
Publicado: (2025)

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood
por: Damato, Stefano, et al.
Publicado: (2025)

Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
por: Manoj, Midhun
Publicado: (2025)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
por: Ferdous, Muhammad Hasan, et al.
Publicado: (2025)

Temporal Functional Circuits: From Spline Plots to Faithful Explanations in KAN Forecasting
por: Mysore, Naveen
Publicado: (2026)

Multivariate Time Series Anomaly Detection via Dual-Branch Reconstruction and Autoregressive Flow-based Residual Density Estimation
por: Liu, Jun, et al.
Publicado: (2026)

Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models
por: Moradi, Mehrdad, et al.
Publicado: (2025)

Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES
por: Foulon, Chris, et al.
Publicado: (2024)

Randomized Spline Trees for Functional Data Classification: Theory and Application to Environmental Time Series
por: Riccio, Donato, et al.
Publicado: (2024)

Forecasting Source Stability in Scientific Experiments using Temporal Learning Models: A Case Study from Tritium Monitoring
por: Jerome, Nicholas Tan, et al.
Publicado: (2026)

From Data Acquisition to Lag Modeling: Quantitative Exploration of A-Share Market with Low-Coupling System Design
por: Fang, Jianyong, et al.
Publicado: (2025)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
por: Cabral, Rafael, et al.
Publicado: (2024)

Forecasting Anomaly Precursors via Uncertainty-Aware Time-Series Ensembles
por: Kang, Hyeongwon, et al.
Publicado: (2026)

Is Causality Necessary for Efficient Portfolios? A Computational Perspective on Predictive Validity and Model Misspecification
por: Dominguez, Alejandro Rodriguez
Publicado: (2025)

Contract-Governed Training for Earth Observation: Observed Service Agreement Graphs and Coverage-Accuracy Trade-offs
por: Du, Wenzhang
Publicado: (2025)

Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
por: Ali, Mohammad Wazed, et al.
Publicado: (2024)

A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data
por: Moradi, Mehrdad, et al.
Publicado: (2025)

Retrieval-Augmented Memory for Online Learning
por: Du, Wenzhang
Publicado: (2025)

TerraSeg: Self-Supervised Ground Segmentation for Any LiDAR
por: Lentsch, Ted, et al.
Publicado: (2026)

UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
por: Lentsch, Ted, et al.
Publicado: (2024)

Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
por: Luzio, Emanuele, et al.
Publicado: (2025)

From Point to probabilistic gradient boosting for claim frequency and severity prediction
por: Chevalier, Dominik, et al.
Publicado: (2024)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
por: Ojeda, Sebastian, et al.
Publicado: (2025)

Can Agentic AI Match the Performance of Human Data Scientists?
por: Luo, An, et al.
Publicado: (2025)

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
por: Luo, An, et al.
Publicado: (2026)

Analyzing the Impact of Multimodal Perception on Sample Complexity and Optimization Landscapes in Imitation Learning
por: Abuelsamen, Luai, et al.
Publicado: (2025)

Neural Velocity for hyperparameter tuning
por: Dalmasso, Gianluca, et al.
Publicado: (2025)

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples
por: Wang, Yin, et al.
Publicado: (2025)

PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
por: Imanov, Olaf Yunus Laitinen, et al.
Publicado: (2026)

Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
por: López, Francisco, et al.
Publicado: (2025)

Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning
por: Agrahari, Gyaneshwar, et al.
Publicado: (2025)

Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
por: Du, Wenzhang
Publicado: (2025)

Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies
por: Novák, Vojtěch, et al.
Publicado: (2025)

SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
por: Kurbucz, Marcell T., et al.
Publicado: (2025)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
por: Mukherjee, Debdeep, et al.
Publicado: (2025)