ComfyAI·Oct 13ICED: Bringing the TabPFN Revolution to Density EstimationOne frozen transformer, pretrained once on synthetic data, now handles density estimation, OOD detection, anomaly detection, and data…
Zeromathai·Sep 12Modeling the Data Distribution: What Generative Models Are Really LearningGenerative modeling starts with observed samples and asks how a learnable probability model can capture the hidden distribution that…
Zeromathai·Sep 4Generative Modeling: Learning the Structure Behind the DataThe key difference is not classification versus generation, but which probability relationship the model learns directly.
Mr. Vivek Kumar·Feb 21A Guide to PMF, PDF, and CDFThe Shape of Data: Unlocking the Secrets of PDFs and CDFs
InData Science CollectivebyAllohvk·Oct 28, 2025Secrets of the Variational AutoEncoder (VAE )— Appreciation without the apprehensionIntuition & the gentle math powering many Gen AI models
Himanshu Pandey·Oct 1, 2025Density estimation and their typesDensity estimation is a non—parametric estimation technique. Let me quickly explain what non-parametric estimation is.
Avinash·Jun 21, 2025Local Outlier Factor (LOF)LOF is a density-based outlier detection method that identifies outliers by comparing the local density of a point to the local densities…
InData Science CollectivebyJimin Kang·Jun 12, 2025Applications of Density Estimation to Legal TheoryA brief analysis using density estimation to compare the two-verdict and three-verdict systems.
InData Science CollectivebyJimin Kang·May 13, 2025Non-Parametric Density Estimation: Theory and ApplicationsA theoretical and practical introduction to non-parametric density estimation.A response icon2A response icon2
