Rylan Schaeffer

Elite
@RylanSchaeffer

Stanford-LaTeX-Poster-Template. Stanford LaTeX poster template

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ucl-adv-dl-rl. Jupyter Notebook

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Stanford-AI-Alignment-Double-Descent-Tutorial. Code for Arxiv Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle

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AstraFellowship-When-Do-VLM-Image-Jailbreaks-Transfer. Code for ICLR 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models

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MIT2.152-Nonlinear-Control. MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)

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HarvardAM207-prior-networks. Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks

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KoyejoLab-Collapse-or-Thrive. Code for ICML 2025 Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World

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ecs198-cryptocurrency-technologies. TeX

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KoyejoLab-Min-p-Sampling. Code for Arxiv 2025 Min-P, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models

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Stanford-CS-242-Programming-Languages. Repo for Stanford CS 242 Programming Languages Fall 2022 with Prof. Aikens

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KoyejoLab-Why-Has-Predicting-Downstream-Capabilities-Remained-Elusive. Code for ICML 2025 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

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MIT6.438-Probabilistic-Graphical-Models. MIT Fall 2020 EECS 6.438 Algorithms for Inference (Professors Devavrat Shah and Caroline Uhler)

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KoyejoLab-Large-How-Do-Language-Monkey-Power-Get-Their-Power. Code for ICML 2025 How Do Large Language Monkeys Get Their Power (Laws)?

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HarvardMATH110-vector-space-methods-for-ODEs. Harvard Spring 2020 Math 110 Vector Space Methods for ODEs (Christian Brennecke)

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Stanford-CS-265-Rand-Algs. Repo for Stanford CS 265 Randomized Algorithms Fall 2022 with Prof. Wootters

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FieteLab-Demo. Python

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FieteLab-Sorscher-2022-Reproduction. (Partial) Code for preprint: Disentangling Fact from Grid Cell Fiction in Trained Deep Path Integrators

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FieteLab-Nonparametric-SwAV. PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

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diaconis-random-walk. C++

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hilbert. HTML

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FieteLab-RCRP. Code for UAI 2021 paper Efficient Online Inference for Nonparametric Mixture Models

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RepDistiller. [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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prismatic-vlms. A flexible and efficient codebase for training visually-conditioned language models (VLMs)

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