Suchergebnisse - transformer-based (conditional OR conditioning) variational autoencoder

Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder von Singh, Prithvipal, Singh, Sandeep, Singh, Gurupdesh, Singh, Amritpal

“… Since, Artificial Intelligence is highly developing and concatenating into several domains, cybersecurity is an important field of delivering both the …”
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Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder von Kim, Gi-Hu, Jeong, Hae-Seong, Kim, Han-Sung, Kwon, Hyeok-Jung, Kim, Dong-Hwan

“… This study applies a transformer-based conditional variational autoencoder (T-CVAE) model for anomaly detection in pulse waveform signals from the High Voltage Converter Modulator …”
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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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Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting von He, Hui, Zhang, Qi, Yi, Kun, Shi, Kaize, Niu, Zhendong, Cao, Longbing

“… Accordingly, we propose a novel framework temporal conditional variational autoencoder (TCVAE) to model the dynamic distributional dependencies over time …”
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ProT-VAE: Protein Transformer Variational AutoEncoder for functional protein design von Sevgen, Emre, Moller, Joshua, Lange, Adrian, Parker, John, Quigley, Sean, Mayer, Jeff, Srivastava, Poonam, Gayatri, Sitaram, Hosfield, David, Dilks, Clayton, Buchanan, Claire, Speltz, Thomas, Korshunova, Maria, Livne, Micha, Gill, Michelle, Ranganathan, Rama, Costa, Anthony B, Ferguson, Andrew L

“… for conditional sequence design with the expressive, alignment-free featurization offered by transformer-based protein language models …”
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DCTFormer: A Dual-Branch Transformer With Cloze Tests for Video Anomaly Detection von Chen, Pengzhan, Du, Shengdong, Zhao, Xiaole, Hu, Jie, Li, Jingjing, Li, Tianrui

“… Firstly, we design a novel module TRAECT (Transformer-based Residual Autoencoder with Cloze Tests …”
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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation von Le, Fang, Zeng, Tao, Liu, Chaochun, Liefeng Bo, Dong, Wen, Chen, Changyou

“… : generation effectiveness and controllability. LVMs, especially the variational autoencoder (VAE …”
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Improving Multi-agent Trajectory Prediction using Traffic States on Interactive Driving Scenarios von Vishnu, Chalavadi, Abhinav, Vineel, Roy, Debaditya, Mohan, C. Krishna, Babu, Ch. Sobhan

“… Predicting trajectories of multiple agents in interactive driving scenarios such as intersections, and roundabouts are challenging due to the high density of …”
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EmoMusicTV: Emotion-conditioned Symbolic Music Generation with Hierarchical Transformer VAE von Ji, Shulei, Yang, Xinyu

“… In particular, no study explores conditional music generation with the guidance of emotion, and few studies adopt time-varying emotional conditions …”
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Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation von Hu, Jinyi, Yi, Xiaoyuan, Li, Wenhao, Sun, Maosong, Xie, Xing

“… In this work, we propose TRACE, a Transformer-based recurrent VAE structure. TRACE imposes recurrence on segment-wise latent variables with arbitrarily separated text segments and constructs the posterior distribution with residual parameterization …”
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Generating diverse clothed 3D human animations via a generative model von Shi, Min, Feng, Wenke, Gao, Lin, Zhu, Dengming

“… At the heart of our method is a two-stage strategy. Specifically, we first learn a latent space encoding the sequence-level distribution of human motions utilizing a transformer-based conditional variational autoencoder (Transformer-CVAE …”
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GSC-DVIT: A vision transformer based deep learning model for lung cancer classification in CT images von Mannepalli, Durgaprasad, Kuan Tak, Tan, Bala Krishnan, Sivaneasan, Sreenivas, Velagapudi

“… •For extracting deep features with low dimensionality parameters, Conditional Variational Autoencoder (CVA) model is used …”
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Transformer-based image generation from scene graphs von Sortino, Renato, Palazzo, Simone, Rundo, Francesco, Spampinato, Concetto

“… In this work, we show how employing multi-head attention to encode the graph information, as well as using a transformer-based model in the latent space for image generation can improve the quality …”
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Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting von He, Hui, Zhang, Qi, Yi, Kun, Shi, Kaize, Niu, Zhendong, Cao, Longbing

“… Accordingly, we propose a novel framework temporal conditional variational autoencoder (TCVAE) to model the dynamic distributional dependencies over time …”
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Text Conditioned Generative Adversarial Networks Generating Images and Videos: A Critical Review von Mehmood, Rayeesa, Bashir, Rumaan, Giri, Kaiser J.

“… Generative adversarial networks (GANs) have attained a lot of attention in the deep learning community and have been in focus for the past few years. GAN finds …”
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CVAE-Transformer-based industrial short-term load forecasting von Li, Jiawei, Wang, Yuanyuan, Liu, Yonghuan, Liao, Xiaoyu

“… In response to the challenges presented by the intricate, nonlinear, and temporal nature of industrial load data, a novel method integrating a Conditional Variational Autoencoder (CVAE …”
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Non-Autoregressive Transformer Based Ego-Motion Independent Pedestrian Trajectory Prediction on Egocentric View von Kim, Yujin, Seo, Eunbin, Noh, Chiyun, Yi, Kyongsu

“… This paper presents a non-autoregressive transformer based trajectory prediction methodology for pedestrian on egocentric view …”
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Variational Prefix Tuning for diverse and accurate code summarization using pre-trained language models von Zhao, Junda, Song, Yuliang, Cohen, Eldan

“… Our method integrates a Conditional Variational Autoencoder (CVAE) framework as a modular component into pre-trained models, enabling us to model the distribution …”
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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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Unsupervised Multivariate Time Series Anomaly Detection via Transformer-Based Models and Time Series Encoding von Duan, Tinglin

“… For the point-based approach, one novel Transformer-based model: Transformer Conditional Variational Autoencoder (T-CVAE …”
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