Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNEby Aditya…
An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classificationby…
Lens functions for exploring UMAP Projections with Domain Knowledgeby Daniel M. Bot, Jan AertsFirst submitted…
Deep Learning in Earthquake Engineering: A Comprehensive Reviewby Yazhou XieFirst submitted to arxiv on: 15…
Scalable Amortized GPLVMs for Single Cell Transcriptomics Databy Sarah Zhao, Aditya Ravuri, Vidhi Lalchand, Neil…
Nonnegative Matrix Factorization in Dimensionality Reduction: A Surveyby Farid Saberi-Movahed, Kamal Berahman, Razieh Sheikhpour, Yuefeng…
Generative adversarial learning with optimal input dimension and its adaptive generator architectureby Zhiyao Tan, Ling…
Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality…
CBMAP: Clustering-based manifold approximation and projection for dimensionality reductionby Berat DoganFirst submitted to arxiv on:…
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systemsby Imran Nasim, Joaõ Lucas…