Cover Image

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hengrui, Zhang, Jiani, Srinivasan, Balasubramaniam, Shen, Zhengyuan, Qin, Xiao, Faloutsos, Christos, Rangwala, Huzefa, Karypis, George
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
by: Kong, Kezhi, et al.
Published: (2024)

FeatNavigator: Automatic Feature Augmentation on Tabular Data
by: Liang, Jiaming, et al.
Published: (2024)

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes
by: Dai, Zhenwei, et al.
Published: (2025)

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories
by: Koutras, Christos, et al.
Published: (2024)

CoddLLM: Empowering Large Language Models for Data Analytics
by: Zhang, Jiani, et al.
Published: (2025)

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models
by: Zhang, Xiyuan, et al.
Published: (2025)

Scalable Prompt Routing via Fine-Grained Latent Task Discovery
by: Zhang, Yunyi, et al.
Published: (2026)

From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
by: Zeng, Siliang, et al.
Published: (2025)

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
by: Wang, Zifeng, et al.
Published: (2023)

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer
by: Pengmei, Zihan, et al.
Published: (2024)

MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
by: Ou, Jiefu, et al.
Published: (2026)

AutoG: Towards automatic graph construction from tabular data
by: Chen, Zhikai, et al.
Published: (2025)

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
by: Fang, Xi, et al.
Published: (2024)

Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data
by: Zhang, Hengrui, et al.
Published: (2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models
by: Zhang, Shichang, et al.
Published: (2024)

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments
by: He, Yongjun, et al.
Published: (2025)

Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
by: Wang, Yingheng, et al.
Published: (2024)

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
by: Cen, Zhepeng, et al.
Published: (2024)

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
by: Yang, Ke, et al.
Published: (2024)

The Kinetics of Reasoning: How Chain-of-Thought Shapes Learning in Transformers?
by: Pengmei, Zihan, et al.
Published: (2025)

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
by: Shi, Juntong, et al.
Published: (2024)

Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
by: Yang, Zeyu, et al.
Published: (2024)

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
by: Lee, Meng-Chieh, et al.
Published: (2024)

GraphStorm: all-in-one graph machine learning framework for industry applications
by: Zheng, Da, et al.
Published: (2024)

Continuous Diffusion for Mixed-Type Tabular Data
by: Mueller, Markus, et al.
Published: (2023)

DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification
by: Han, Xiaoxue, et al.
Published: (2024)

DispaRisk: Auditing Fairness Through Usable Information
by: Vasquez, Jonathan, et al.
Published: (2024)

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks
by: Tschalzev, Andrej, et al.
Published: (2026)

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
by: Fang, Haoyang, et al.
Published: (2025)

BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering
by: Mavromatis, Costas, et al.
Published: (2025)

FRAUDGUESS: Spotting and Explaining New Types of Fraud in Million-Scale Financial Data
by: Cordeiro, Robson L. F., et al.
Published: (2025)

Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling
by: Sanders, Kate, et al.
Published: (2026)

CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation
by: Zhang, Jia-Chen, et al.
Published: (2025)

Protein Structure Tokenization: Benchmarking and New Recipe
by: Yuan, Xinyu, et al.
Published: (2025)

Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation
by: Sattarov, Timur, et al.
Published: (2025)

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification
by: Shi, Ruxue, et al.
Published: (2025)

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
by: Shi, Ruxue, et al.
Published: (2025)

BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation
by: Li, Haoyuan, et al.
Published: (2025)

Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization
by: Mavromatis, Costas, et al.
Published: (2024)

SemPool: Simple, robust, and interpretable KG pooling for enhancing language models
by: Mavromatis, Costas, et al.
Published: (2024)