Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation | ScienceToStartup | ScienceToStartup

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References (42)

[1]

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

2024Juntong Shi, Minkai Xu et al.

[2]

Comprehensive Exploration of Synthetic Data Generation: A Survey

2024André Bauer, Simon Trapp et al.

[3]

TabMT: Generating tabular data with masked transformers

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"Integrate Transformers in Variational Autoencoders to improve tabular data generation."

Tabular Data Generation•Score: 4•View PDF ↗

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Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation

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References (42)

Founder's Pitch

"Integrate Transformers in Variational Autoencoders to improve tabular data generation."

Commercial Viability Breakdown

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Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation

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References (42)

Founder's Pitch

"Integrate Transformers in Variational Autoencoders to improve tabular data generation."

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