Search Results - transformer-based (conditional OR conditioning) variational autoencoder*

Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder by 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 by 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 by 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 by 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 by 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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GSC-DVIT: A vision transformer based deep learning model for lung cancer classification in CT images by 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 Conditional Variational Autoencoder for Controllable Story Generation by 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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Transformer-based image generation from scene graphs by 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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Improving Multi-agent Trajectory Prediction using Traffic States on Interactive Driving Scenarios by 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 by 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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DCTFormer: A Dual-Branch Transformer With Cloze Tests for Video Anomaly Detection by 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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Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation by 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 by 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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CVAE-Transformer-based industrial short-term load forecasting by 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 by 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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Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting by 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 by 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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Variational Prefix Tuning for diverse and accurate code summarization using pre-trained language models by 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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Unsupervised Multivariate Time Series Anomaly Detection via Transformer-Based Models and Time Series Encoding by Duan, Tinglin

“… For the point-based approach, one novel Transformer-based model: Transformer Conditional Variational Autoencoder (T-CVAE…”
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Video Variational Deep Atmospheric Turbulence Correction by 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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