Marina Riabiz - Kernel Stein Discrepancy Minimization For Mcmc Thinning In Cardiac Electrophysiology

Marina Riabiz - Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology

Lester Mackey | Advances in Distribution Compression

MIA: Lester Mackey, Probabilistic inference and learning with Stein’s method; Primer, Marina Riabiz

Broad Institute

Kernel Stein Discrepancy Descent

Simons Institute

Anna Korba - Kernel Stein Discrepancy Descent

One world theoretical machine learning

C. Oates - Optimal Thinning of MCMC Output

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Kernel Stein Methods #3 - Kernelized Stein Discrepancy_Intro

SNU Robotics Machine Learning

BWB TV: The analytical side of CMC with Nadine Ritter, Global Biotech Experts

Informa Connect Life Sciences

CodeBreaK100: detecting mechanisms of intrinsic resistance by ctDNA

Andrew Duncan – On the Geometry of Stein Variational Gradient Descent

Ascertaining the mechanisms of resistance to KRASG12C inhibitors

Meta-analysis of scRNA-seq data of cardiac fibroblasts reveals temporal dynamics...

Stanford Surgery

Identification and targeting of rare genomic alterations in metastatic CRC

Targeting RET Alterations With Selective Inhibitor BLU-667

Targeted Oncology

Nicholas Melosh - CMOS to Mind, Merging Computers and Brains

BrainMind Summit

"The Stein-Chen method" Dr Fraser Daly lec.1

Novosibirsk Probability School

iPSC derived Cardiomyocytes for Predicting and Removing Drug Cardiotoxicity - Mark Mercola

University of California Television (UCTV)

Baseline analysis of patients enrolled in the BERING CRC study

Hemodynamics and minimalist TAVI - how does it fit? - EuroPCR 2022

PCR