This is the website of Sam Griesemer. I'm an undergraduate at Washington University studying computer science and
probability/statistics. I'm currently working as a research intern at the MIT Lincoln Lab, focusing on deep learning for simulation-based inference.
You can reach me at samgriesemer [at] gmail [dot] com. You can also contact me on
Twitter or find some of my code on Github. For more about me and this
site, see the about page. For more about what I'm
currently working on, see now.
Feed
Simulation-based inference: interpretability and experimental design Learning to Localize in New Environments from Synthetic Training Data DALL-E Contrastive Language–Image Pre-training (CLIP) BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
Blog
Introduction to basic probability
An overview of fundamental probability conceptsRandom sampling without replacement
A quick runtime analysis of methods for taking random samples without replacementSetting up a remote jupyter notebook for a website
In-depth tutorial for creating a Jupyter lab accessible from your domain
Projects
Panja
Super simple static site generator using [Pan]doc and Jin[ja], with added note processing utilitiesProgramming templates
Collection of templates for a number of programming environmentschartlib
Stream based visual objects in a clean Javascript framework built on D3
Research
Image Quilting for Texture Synthesis
Implementing texture synthesis algorithms from (Efros & Freeman, 2001)Learning Across Repeated Congestion Games
Observing simulated agent behaviour under Braess’s paradoxDetection and Analysis of Subreddit Communities
Graph theoretic analysis of over 40GB of Reddit data