Cover Image

Towards Controllable Time Series Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bao, Yifan, Ang, Yihao, Huang, Qiang, Tung, Anthony K. H., Huang, Zhiyong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CTBench: Cryptocurrency Time Series Generation Benchmark
by: Ang, Yihao, et al.
Published: (2025)

RFOD: Random Forest-based Outlier Detection for Tabular Data
by: Ang, Yihao, et al.
Published: (2025)

Dive into Time-Series Anomaly Detection: A Decade Review
by: Boniol, Paul, et al.
Published: (2024)

From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying
by: Wu, Biao, et al.
Published: (2023)

A Survey on Time-Series Distance Measures
by: Paparrizos, John, et al.
Published: (2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

Raising the ClaSS of Streaming Time Series Segmentation
by: Ermshaus, Arik, et al.
Published: (2023)

CLaP -- State Detection from Time Series
by: Ermshaus, Arik, et al.
Published: (2025)

Bridging the Gap: A Decade Review of Time-Series Clustering Methods
by: Paparrizos, John, et al.
Published: (2024)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections
by: Zhang, Hengrui, et al.
Published: (2025)

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
by: Lai, Zhichen, et al.
Published: (2024)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
by: Dwivedi, Vijay Prakash, et al.
Published: (2025)

Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series
by: Rattanakornphan, Thanadej, et al.
Published: (2025)

Data Collection and Labeling Techniques for Machine Learning
by: Huang, Qianyu, et al.
Published: (2024)

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
by: Phan, Hong-Phuc, et al.
Published: (2026)

DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
by: Wang, Yifan, et al.
Published: (2026)

MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
by: Ge, Congcong, et al.
Published: (2025)

Motiflets -- Simple and Accurate Detection of Motifs in Time Series
by: Schäfer, Patrick, et al.
Published: (2022)

Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)

Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
by: Li, Zuqing, et al.
Published: (2025)

Griffin: Towards a Graph-Centric Relational Database Foundation Model
by: Wang, Yanbo, et al.
Published: (2025)

Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
by: Ranjan, Rishabh, et al.
Published: (2025)

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
by: Yin, Jun, et al.
Published: (2026)

Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
by: Luttermann, Malte, et al.
Published: (2024)

Generating the Traces You Need: A Conditional Generative Model for Process Mining Data
by: Graziosi, Riccardo, et al.
Published: (2024)

MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
by: Liu, Qinghua, et al.
Published: (2025)

A Survey of Pipeline Tools for Data Engineering
by: Mbata, Anthony, et al.
Published: (2024)

OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
by: Zhou, Xuanhe, et al.
Published: (2025)

Robo-DM: Data Management For Large Robot Datasets
by: Chen, Kaiyuan, et al.
Published: (2025)

TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
by: Khatiwada, Aamod, et al.
Published: (2024)

KGpipe: Generation and Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2025)

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition
by: Bao, Yifan, et al.
Published: (2026)

Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
by: Cui, Lingxi, et al.
Published: (2024)

RelBench: A Benchmark for Deep Learning on Relational Databases
by: Robinson, Joshua, et al.
Published: (2024)

Text-Based Product Matching -- Semi-Supervised Clustering Approach
by: Martinek, Alicja, et al.
Published: (2024)

Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback
by: Ang, Yihao, et al.
Published: (2025)

MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs
by: Siragusa, Irene, et al.
Published: (2024)

A General Framework for Producing Interpretable Semantic Text Embeddings
by: Sun, Yiqun, et al.
Published: (2024)