<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Course Projects on Alexandre Bismuth</title><link>https://alexandre-bismuth.github.io/course_projects/</link><description>Recent content in Course Projects on Alexandre Bismuth</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://alexandre-bismuth.github.io/course_projects/index.xml" rel="self" type="application/rss+xml"/><item><title>MIT class: How To Make (Almost) Anything</title><link>https://alexandre-bismuth.github.io/course_projects/how-to-make-almost-anything/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://alexandre-bismuth.github.io/course_projects/how-to-make-almost-anything/</guid><description>Learning exactly what the title says.</description></item><item><title>Why Don't Graph Transformers Attend to the Same Token? 🚱</title><link>https://alexandre-bismuth.github.io/course_projects/gdl-attention-sinks/</link><pubDate>Sat, 21 Mar 2026 00:00:00 +0000</pubDate><guid>https://alexandre-bismuth.github.io/course_projects/gdl-attention-sinks/</guid><description>Geometric Deep Learning mini-project: a theoretical and empirical study of when and where attention sinks form in Graph Transformers.</description></item><item><title>Cardiac Sex Differences and Antidepressant-Induced Arrhythmias</title><link>https://alexandre-bismuth.github.io/course_projects/computational-medicine-arrhythmia/</link><pubDate>Sat, 14 Mar 2026 00:00:00 +0000</pubDate><guid>https://alexandre-bismuth.github.io/course_projects/computational-medicine-arrhythmia/</guid><description>Computational Medicine mini-project: using in-silico cardiomyocyte models to quantify how electrophysiologic sex differences affect vulnerability to antidepressant-induced arrhythmias.</description></item><item><title>Bayesian Active Learning under Uncertainty</title><link>https://alexandre-bismuth.github.io/course_projects/uncertainty-active-learning/</link><pubDate>Wed, 21 Jan 2026 00:00:00 +0000</pubDate><guid>https://alexandre-bismuth.github.io/course_projects/uncertainty-active-learning/</guid><description>Uncertainty in Deep Learning mini-project: Bayesian deep active learning on MNIST, with a novel label-likelihood noise filter and diversity-aware acquisitions.</description></item><item><title>A Free-Surface 2D Fluid Solver from Voronoï Diagrams to Optimal Transport</title><link>https://alexandre-bismuth.github.io/course_projects/fluid-solver/</link><pubDate>Wed, 18 Jun 2025 00:00:00 +0000</pubDate><guid>https://alexandre-bismuth.github.io/course_projects/fluid-solver/</guid><description>CSE306 Computer Graphics project: a free-surface 2D fluid solver built on Power diagrams, semi-discrete optimal transport with L-BFGS, and the de Gallouet-Mérigot incompressible Euler scheme.</description></item><item><title>N-Body Simulation: From a Sequential Solver to GPU-Accelerated Galaxies</title><link>https://alexandre-bismuth.github.io/course_projects/nbody-simulation/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://alexandre-bismuth.github.io/course_projects/nbody-simulation/</guid><description>CSE305 concurrent programming project: a gravitational N-Body simulator optimised from a sequential solver to parallel, Barnes-Hut, and CUDA implementations.</description></item></channel></rss>