Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,114 papers shown

Title
Information-Ordered Bottlenecks for Adaptive Semantic Compression Matthew Ho Xiao-Fen Zhao Benjamin Dan Wandelt 18 5 0 18 May 2023
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling Shitong Shao Xu Dai Shouyi Yin Lujun Li Huanran Chen Yang Hu 24 17 0 18 May 2023
State Representation Learning Using an Unbalanced Atlas Li Meng Morten Goodwin Anis Yazidi P. Engelstad 37 2 0 17 May 2023
Bridging the Gap: Enhancing the Utility of Synthetic Data via Post-Processing Techniques A. Lampis Eugenio Lomurno Matteo Matteucci 26 7 0 17 May 2023
A Method for Training-free Person Image Picture Generation Tianyu Chen DiffM 21 0 0 16 May 2023
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection A. Farley Mohsen Zand Michael A. Greenspan DiffM 32 1 0 16 May 2023
Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring Chang Min Hyun Tae-Geun Kim Kyounghun Lee 20 2 0 16 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting Ryo Umagami Yusuke Ono Yusuke Mukuta Tatsuya Harada AI4TS 45 3 0 14 May 2023
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders E. D. D. L. Heras Francisco J. Martínez-Murcia I. A. Illán C. Jiménez-Mesa D. Castillo-Barnes J. Ramírez Juan M Gorriz 13 0 0 11 May 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting Erica Weng Hanako Hoshino Deva Ramanan Kris Kitani 38 13 0 10 May 2023
Autoencoder-based prediction of ICU clinical codes T. R. Yordanov A. Abu-Hanna A. Ravelli Iacopo Vagliano 11 1 0 08 May 2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model Taofeng Xie Chentao Cao Zhuoxu Cui Yu Guo Caiying Wu ... Dong Liang Qiyu Jin Hongwu Zeng Guoqing Chen Haifeng Wang DiffM MedIm 36 10 0 06 May 2023
The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? Xiaodan Xing Yang Nan F. Felder Simon Walsh Guang Yang MedIm 28 5 0 03 May 2023
Full Scaling Automation for Sustainable Development of Green Data Centers Shiyu Wang Yinbo Sun Xiaoming Shi Shiyi Zhu Linfao Ma James Y. Zhang Yifei Zheng Jian Liu 35 8 0 01 May 2023
A Portrait of Emotion: Empowering Self-Expression through AI-Generated Art Y. Lee Yongha Park S. Hahn 19 3 0 26 Apr 2023
Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models Jason J. Yu Fereshteh Forghani Konstantinos G. Derpanis Marcus A. Brubaker DiffM 37 45 0 21 Apr 2023
Deep reproductive feature generation framework for the diagnosis of COVID-19 and viral pneumonia using chest X-ray images Ceyhun Efe Kayan Talha Enes Koksal Arda Sevinc A. Gumus 25 1 0 20 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision Seongho Joe Byoungjip Kim Ho. Kang Kyoungwon Park Bogun Kim Jaeseon Park Joonseok Lee Youngjune Gwon SSL 26 1 0 19 Apr 2023
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation Jie An Songyang Zhang Harry Yang Sonal Gupta Jia-Bin Huang Jiebo Luo Xiaoyue Yin DiffM VGen 38 107 0 17 Apr 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Y. Zhu Jianwen Xie Ping Li MedIm 25 4 0 16 Apr 2023
Memory Efficient Diffusion Probabilistic Models via Patch-based Generation Shinei Arakawa Hideki Tsunashima Daichi Horita Keitaro Tanaka Shigeo Morishima DiffM 16 3 0 14 Apr 2023
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction Hansheng Chen Jiatao Gu Anpei Chen Wei Tian Zhuowen Tu Lingjie Liu Haoran Su VGen DiffM 56 146 0 13 Apr 2023
FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings Abduallah A. Mohamed Jundi Liu L. Boyle Christian G. Claudel 27 0 0 12 Apr 2023
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models R. Tahmasbi Keyvan Tahmasbi 19 0 0 12 Apr 2023
Explicitly Minimizing the Blur Error of Variational Autoencoders G. Bredell Kyriakos Flouris K. Chaitanya Ertunc Erdil E. Konukoglu 26 22 0 12 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 29 7 0 12 Apr 2023
Discovering Structure From Corruption for Unsupervised Image Reconstruction Oscar Leong Angela F. Gao He Sun Katherine Bouman 31 5 0 12 Apr 2023
Generative modeling for time series via Schr{ö}dinger bridge Mohamed Hamdouche P. Henry-Labordère H. Pham AI4TS DiffM OT 35 11 0 11 Apr 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise Jiaao Chen Aston Zhang Mu Li Alexander J. Smola Diyi Yang DiffM 32 17 0 10 Apr 2023
An autoencoder compression approach for accelerating large-scale inverse problems J. Wittmer Jacob Badger H. Sundar T. Bui-Thanh AI4CE 29 1 0 10 Apr 2023
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation Ziyang Chen Yongsheng Pan Yong-quan Xia MedIm 20 11 0 10 Apr 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning Wenxiang Xu Lin Chen Linyun Zhou Jie Lei Lechao Cheng Zunlei Feng Min-Gyoo Song 34 1 0 09 Apr 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 2 0 08 Apr 2023
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 16 74 0 07 Apr 2023
Neural Diffeomorphic Non-uniform B-spline Flows S. Hong S. Chun 40 1 0 07 Apr 2023
Diffusion Models as Masked Autoencoders Chen Wei K. Mangalam Po-Yao (Bernie) Huang Yanghao Li Haoqi Fan Hu Xu Huiyu Wang Cihang Xie Alan Yuille Christoph Feichtenhofer DiffM SyDa 36 48 0 06 Apr 2023
Learning with augmented target information: An alternative theory of Feedback Alignment Huzi Cheng Joshua W. Brown CVBM 21 0 0 03 Apr 2023
Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics Marco Morucci Cynthia Rudin A. Volfovsky CML FedML 14 1 0 03 Apr 2023
Learning Sparsity of Representations with Discrete Latent Variables Zhao Xu Daniel Oñoro-Rubio G. Serra Mathias Niepert 13 0 0 03 Apr 2023
Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction Thomas Lu A. Lu Hiu Yung Wong 14 0 0 03 Apr 2023
Unbiased Scene Graph Generation in Videos Sayak Nag Kyle Min Subarna Tripathi A. Roy-Chowdhury 31 29 0 03 Apr 2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow Haiming Yao Wei Luo Wenyong Yu ViT 34 3 0 31 Mar 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders Mani Valleti Yongtao Liu Sergei V. Kalinin DRL 30 4 0 30 Mar 2023
Fast inference of latent space dynamics in huge relational event networks I. Artico Ernst C. Wit BDL 21 1 0 29 Mar 2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models Konstantina Nikolaidou George Retsinas Vincent Christlein Mathias Seuret Giorgos Sfikas Elisa Barney Smith Hamam Mokayed Marcus Liwicki DiffM 29 16 0 29 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 55 226 0 28 Mar 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation Minsoo Kang Doyup Lee Jiseob Kim Saehoon Kim Bohyung Han DRL OOD 31 3 0 28 Mar 2023
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting Tengfei Huang T. Dahanayaka Kanchana Thilakarathna Philip H. W. Leong H. El Gamal 22 2 0 28 Mar 2023
Exploring Continual Learning of Diffusion Models Michal Zajac Kamil Deja Anna Kuzina Jakub M. Tomczak Tomasz Trzciñski Florian Shkurti Piotr Milo's DiffM 35 11 0 27 Mar 2023
Object-Centric Relational Representations for Image Generation L. Butera Andrea Cini Alberto Ferrante Cesare Alippi OCL DiffM 34 0 0 26 Mar 2023