A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Databy Navid Ziaei,…
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAEby Haonan Yu,…
Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flowsby Jan Heiland, Yongho KimFirst submitted…
Functional Autoencoder for Smoothing and Representation Learningby Sidi Wu, Cédric Beaulac, Jiguo CaoFirst submitted to…
Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?by Jan Rathjens, Laurenz…
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoderby Hee-Jun Jung, Jaehyoung Jeong, Kangil…
Carrying over algorithm in transformersby Jorrit KruthoffFirst submitted to arxiv on: 15 Jan 2024CategoriesMain: Machine…
An Information Theoretic Approach to Interaction-Grounded Learningby Xiaoyan Hu, Farzan Farnia, Ho-fung LeungFirst submitted to…
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number kby Yuanchi Ma, Hui He, Zhongxiang…
Improving Diffusion-Based Image Synthesis with Context Predictionby Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang,…