Elon Musk’s social media platform X has released the core architecture behind the algorithm that determines what users see in ...
The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...
This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...
OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
Abstract: The Photon Counting Histogram Expectation Maximization (PCH-EM) algorithm has recently been reported as a candidate method for the characterization of Deep Sub-Electron Read Noise (DSERN) ...
Final project of the course MATH-517 Statistical Computation and Visualization (EPFL, Fall 2023). The goal of this project is to study the performance of inference using the Expectation Maximization ...
Abstract: To solve the electromagnetic (EM) scattering problems involving a single, complexly moving perfectly electric conductor (PEC) with the traditional adaptive cross approximation-method of ...
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