Suchergebnisse - transformer-based conditioning variational autoencoder*

Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation von Yao, Yiduo, Wang, Xiao, Hao, Xudong, Sun, Hongyu, Dong, Ruixin, Li, Yansheng

“… , limiting their effectiveness in emotion-related applications. To address these challenges, this research proposes a Transformer-based conditional variational autoencoder …”
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Video Variational Deep Atmospheric Turbulence Correction von Lopez-Tapia, Santiago, Wang, Xijun, Katsaggelos, Aggelos K.

“… We achieve this objective by conditioning the model on features extracted by a variational autoencoder (VAE …”
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Automatic Medical Report Generation via Latent Space Conditioning and Transformers von Adornetto, Carlo, Guzzo, Antonella, Vasile, Andrea

“… Our architecture combines Variational Autoencoder (VAE) and Generative Pre-trained Transformer (GPT), to generate high-quality medical reports …”
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Geometry-invariant abnormality detection von Patel, Ashay, Tudosiu, Petru-Daniel, Pinaya, Walter Hugo Lopez, Adeleke, Olusola, Cook, Gary, Goh, Vicky, Ourselin, Sebastien, Cardoso, M Jorge

“… We propose a new spatial conditioning mechanism that enables models to adapt and learn from varying data geometries, and apply it to a state-of-the-art Vector-Quantized Variational Autoencoder …”
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Data-Driven Modeling for Load Profile Analysis von Kim, Hyeonjin

“… This dissertation explores innovative data-driven methodologies for load profile analysis, spanning HVAC load disaggregation, Vision Transformer-based load representation learning for household …”
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Language Models are Realistic Tabular Data Generators von Borisov, Vadim, Seßler, Kathrin, Leemann, Tobias, Pawelczyk, Martin, Kasneci, Gjergji

“… While many generative models from the computer vision domain, such as variational autoencoders or generative adversarial networks, have been adapted for tabular data generation, less research …”
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