Histograms and QQ-plots for all 64 latent dimensions estimated by the DeepSDF model (pages 1-8) followed by the same for the 15 latent dimensions of the stage 2 Variational Autoencoder (VAE) subsequently trained on the original 64 dimensions (pages 9

The stage 2 VAE histograms and QQ-plots show distinctively increased conformation to Gaussian distributions. (PDF)

Publication Details

Journal
Figshare
Published
2025-03-17
DOI
https://doi.org/10.1371/journal.pcbi.1012887.s001
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Histograms and QQ-plots for all 64 latent dimensions estimated by the DeepSDF model (pages 1-8) followed by the same for the 15 latent dimensions of the stage 2 Variational Autoencoder (VAE) subsequently trained on the original 64 dimensions (pages 9

Figshare
Explainable Artificial Intelligence (XAI)
article

Histograms and QQ-plots for all 64 latent dimensions estimated by the DeepSDF model (pages 1-8) followed by the same for the 15 latent dimensions of the stage 2 Variational Autoencoder (VAE) subsequently trained on the original 64 dimensions (pages 9

article en

Abstract

The stage 2 VAE histograms and QQ-plots show distinctively increased conformation to Gaussian distributions. (PDF)

Figshare
Openalex Percentile: Top 78%
Explainable Artificial Intelligence (XAI)
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Histograms and QQ-plots for all 64 latent dimensions estimated by the DeepSDF model (pages 1-8) followed by the same for the 15 latent dimensions of the stage 2 Variational Autoencoder (VAE) subsequently trained on the original 64 dimensions (pages 9 · Figshare (2025) | TGRS Research Map | TGRS