Approximating mutual information of high-dimensional variables using learned representations
Mutual information (MI) is a general measure of statistical dependence with widespread
application across the sciences. However, estimating MI between multi-dimensional …
application across the sciences. However, estimating MI between multi-dimensional …
Diffkillr: Killing and recreating diffeomorphisms for cell annotation in dense microscopy images
The proliferation of digital microscopy images, driven by advances in automated whole slide
scanning, presents significant opportunities for biomedical research and clinical diagnostics …
scanning, presents significant opportunities for biomedical research and clinical diagnostics …
Geometry-aware generative autoencoders for warped riemannian metric learning and generative modeling on data manifolds
Rapid growth of high-dimensional datasets in fields such as single-cell RNA sequencing
and spatial genomics has led to unprecedented opportunities for scientific discovery, but it …
and spatial genomics has led to unprecedented opportunities for scientific discovery, but it …
Exploring the Manifold of Neural Networks Using Diffusion Geometry
E Abel, P Crevasse, Y Grinspan, S Mazioud… - arXiv preprint arXiv …, 2024 - arxiv.org
Drawing motivation from the manifold hypothesis, which posits that most high-dimensional
data lies on or near low-dimensional manifolds, we apply manifold learning to the space of …
data lies on or near low-dimensional manifolds, we apply manifold learning to the space of …
Provably convergent learned inexact descent algorithm for low-dose ct reconstruction
Abstract We propose an Efficient Inexact Learned Descent-type Algorithm (ELDA) for a class
of nonconvex and nonsmooth variational models, where the regularization consists of a …
of nonconvex and nonsmooth variational models, where the regularization consists of a …
Advancing Social Insights Through NLP: Social Media Reactions, Mental Health and Beyond
C Huang - 2024 - search.proquest.com
Understanding the intricate relationship between digital communication, public policy, and
societal well-being is increasingly important in our interconnected world. Traditionally …
societal well-being is increasingly important in our interconnected world. Traditionally …
CitationMap: A Python Tool to Identify and Visualize Your Google Scholar Citations Around the World
C Liu - Authorea Preprints, 2024 - advance.sagepub.com
CitationMap: A Python Tool to Identify and Visualize Your Google Scholar Citations Around
the World Page 1 P osted on 7 Aug 2024 — CC-BY-NC-SA 4 — h ttps://doi.org/10.36227/techrx …
the World Page 1 P osted on 7 Aug 2024 — CC-BY-NC-SA 4 — h ttps://doi.org/10.36227/techrx …
[PDF][PDF] A Novel Entropy and Mutual Information Measure for High Dimensional Data and Deep Neural Networks
C Liu - openreview.net
This is neither a research article nor a review article. This is a casual explanation of our
paper that introduced the concept of Diffusion Spectral Entropy (DSE) and Diffusion Spectral …
paper that introduced the concept of Diffusion Spectral Entropy (DSE) and Diffusion Spectral …
[PDF][PDF] Towards a Large-Scale Unbiased Machine Learning Benchmark for Cell Instance Segmentation: Final Report for CPSC 537 Intro to Database Systems
C Liu, D Liao, S Wang - chenliu-1996.github.io
Our objective is to develop a comprehensive quantitative benchmark designed to impartially
assess deep learning techniques using open cell segmentation datasets. Our goal is to …
assess deep learning techniques using open cell segmentation datasets. Our goal is to …