Towards Synthesizing High-Dimensional Tabular Data with Limited Samples
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Zuqing, Gan, Junhao, Qi, Jianzhong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
by: Zhou, Youran, et al.
Published: (2025)
by: Zhou, Youran, et al.
Published: (2025)
Towards Question Answering over Large Semi-structured Tables
by: Wang, Yuxiang, et al.
Published: (2025)
by: Wang, Yuxiang, et al.
Published: (2025)
TableGPT2: A Large Multimodal Model with Tabular Data Integration
by: Su, Aofeng, et al.
Published: (2024)
by: Su, Aofeng, et al.
Published: (2024)
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
by: Cui, Lingxi, et al.
Published: (2024)
by: Cui, Lingxi, et al.
Published: (2024)
Robust Detection of Synthetic Tabular Data under Schema Variability
by: Kindji, G. Charbel N., et al.
Published: (2025)
by: Kindji, G. Charbel N., et al.
Published: (2025)
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model
by: Wen, Yizhu, et al.
Published: (2024)
by: Wen, Yizhu, et al.
Published: (2024)
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data
by: Qi, Danrui, et al.
Published: (2023)
by: Qi, Danrui, et al.
Published: (2023)
Position: Foundation Models for Tabular Data within Systemic Contexts Need Grounding
by: Klein, Tassilo, et al.
Published: (2025)
by: Klein, Tassilo, et al.
Published: (2025)
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
by: Khatiwada, Aamod, et al.
Published: (2024)
by: Khatiwada, Aamod, et al.
Published: (2024)
Learning from Anonymized and Incomplete Tabular Data
by: Lange, Lucas, et al.
Published: (2026)
by: Lange, Lucas, et al.
Published: (2026)
Boosting Relational Deep Learning with Pretrained Tabular Models
by: Lachi, Veronica, et al.
Published: (2025)
by: Lachi, Veronica, et al.
Published: (2025)
Tabular Foundation Models Can Learn Association Rules
by: Karabulut, Erkan, et al.
Published: (2026)
by: Karabulut, Erkan, et al.
Published: (2026)
Synthetic Tabular Data Detection In the Wild
by: Kindji, G. Charbel N., et al.
Published: (2025)
by: Kindji, G. Charbel N., et al.
Published: (2025)
Griffin: Towards a Graph-Centric Relational Database Foundation Model
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
SimClone: Detecting Tabular Data Clones using Value Similarity
by: Yang, Xu, et al.
Published: (2024)
by: Yang, Xu, et al.
Published: (2024)
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
by: Kindji, G. Charbel N., et al.
Published: (2025)
by: Kindji, G. Charbel N., et al.
Published: (2025)
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
by: Ranjan, Rishabh, et al.
Published: (2025)
by: Ranjan, Rishabh, et al.
Published: (2025)
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
by: Luttermann, Malte, et al.
Published: (2024)
by: Luttermann, Malte, et al.
Published: (2024)
UrbanVerse: Learning Urban Region Representation Across Cities and Tasks
by: Sun, Fengze, et al.
Published: (2026)
by: Sun, Fengze, et al.
Published: (2026)
Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)
by: Bai, Jiaxin, et al.
Published: (2025)
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
by: Lin, Xiaotian, et al.
Published: (2025)
by: Lin, Xiaotian, et al.
Published: (2025)
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML
by: Zhou, Xuanhe, et al.
Published: (2025)
by: Zhou, Xuanhe, et al.
Published: (2025)
RDBLearn: Simple In-Context Prediction Over Relational Databases
by: Zhang, Yanlin, et al.
Published: (2026)
by: Zhang, Yanlin, et al.
Published: (2026)
No Need to Train Your RDB Foundation Model
by: Xu, Linjie, et al.
Published: (2026)
by: Xu, Linjie, et al.
Published: (2026)
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
Towards Controllable Time Series Generation
by: Bao, Yifan, et al.
Published: (2024)
by: Bao, Yifan, et al.
Published: (2024)
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration
by: Kayali, Moe, et al.
Published: (2024)
by: Kayali, Moe, et al.
Published: (2024)
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
by: Yin, Jun, et al.
Published: (2026)
by: Yin, Jun, et al.
Published: (2026)
Cortex AISQL: A Production SQL Engine for Unstructured Data
by: Liskowski, Paweł, et al.
Published: (2025)
by: Liskowski, Paweł, et al.
Published: (2025)
MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
by: Ge, Congcong, et al.
Published: (2025)
by: Ge, Congcong, et al.
Published: (2025)
Data Science: a Natural Ecosystem
by: Porcu, Emilio, et al.
Published: (2025)
by: Porcu, Emilio, et al.
Published: (2025)
Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)
by: Hofer, Marvin, et al.
Published: (2026)
Data Collection and Labeling Techniques for Machine Learning
by: Huang, Qianyu, et al.
Published: (2024)
by: Huang, Qianyu, et al.
Published: (2024)
Making LLMs Work for Enterprise Data Tasks
by: Demiralp, Çağatay, et al.
Published: (2024)
by: Demiralp, Çağatay, et al.
Published: (2024)
Towards Data-centric Machine Learning on Directed Graphs: a Survey
by: Sun, Henan, et al.
Published: (2024)
by: Sun, Henan, et al.
Published: (2024)
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation
by: He, Chaowei, et al.
Published: (2025)
by: He, Chaowei, et al.
Published: (2025)
Mixtera: A Data Plane for Foundation Model Training
by: Böther, Maximilian, et al.
Published: (2025)
by: Böther, Maximilian, et al.
Published: (2025)
NeurDB: An AI-powered Autonomous Data System
by: Ooi, Beng Chin, et al.
Published: (2024)
by: Ooi, Beng Chin, et al.
Published: (2024)
Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)
by: Koschmider, Agnes, et al.
Published: (2023)
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
by: Li, Xunkai, et al.
Published: (2025)
by: Li, Xunkai, et al.
Published: (2025)
Similar Items
-
Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
by: Zhou, Youran, et al.
Published: (2025) -
Towards Question Answering over Large Semi-structured Tables
by: Wang, Yuxiang, et al.
Published: (2025) -
TableGPT2: A Large Multimodal Model with Tabular Data Integration
by: Su, Aofeng, et al.
Published: (2024) -
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI
by: Cui, Lingxi, et al.
Published: (2024) -
Robust Detection of Synthetic Tabular Data under Schema Variability
by: Kindji, G. Charbel N., et al.
Published: (2025)