activity
20192026
most citedCTAB-GAN: Effective Table Data Synthesizing

64 citations · 252 across the 64 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SI2023

CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model

Jui-Yi Tsai, Ya-Wen Teng, Ho Chiok Yew +2

The social graphs synthesized by the generative models are increasingly in demand due to data scarcity and concerns over user privacy. One of the key performance criteria for gener…

cs.LG2023★ 11 cited

TabuLa: Harnessing Language Models for Tabular Data Synthesis

Zilong Zhao, Robert Birke, Lydia Chen

Tabular data synthesis is crucial for addressing privacy and security concerns in industries reliant on tabular data. While recent advancements adopt large language models (LLMs) f…

cs.LG2023

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise

Jeroen M. Galjaard, Robert Birke, Juan Perez +1

The negative impact of label noise is well studied in classical supervised learning yet remains an open research question in meta-learning. Meta-learners aim to adapt to unseen lea…

cs.RO2023★ 3 cited

Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions

Javier Borquez, Shuang Peng, Yiyu Chen +2

Hybrid dynamical systems with nonlinear dynamics are one of the most general modeling tools for representing robotic systems, especially contact-rich systems. However, providing gu…

cs.LG2023★ 3 cited

VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning

Zilong Zhao, Han Wu, Aad Van Moorsel +1

This paper presents the application of Vertical Federated Learning (VFL) to generate synthetic tabular data using Generative Adversarial Networks (GANs). VFL is a collaborative app…