Resume/CV
Resume: [PDF]
CV: [PDF]
More detail can be found on my LinkedIn profile, and my publications are listed on my Google Scholar profile.
Papers
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
Brandon Knutson, Amandin Chyba Rabeendran, Michael Ivanitskiy, Jordan Pettyjohn, Cecilia Diniz-Behn, Samy Wu Fung, Daniel McKenzie
AAAI 2026 (oral presentation)
[Paper] [Code] [Project page]
maze-dataset: Maze Generation with Algorithmic Variety and Representational Flexibility
Michael Ivanitskiy, Aaron Sandoval, Alexander F. Spies, Tilman Räuker, Brandon Knutson, Cecilia Diniz-Behn, Samy Wu Fung
Journal of Open Source Software, 2025
[Paper] [Code]
Faster Implicit Network Training via Random Truncation
Manuscript in preparation
Presentations
Toward Faster Implicit Network Training via Random Truncation
SIAM Conference on Optimization, University of Edinburgh, June 2026 — talk
[Slides]
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
AAAI 2026, Singapore, January 2026 — talk
[Video] [Slides] [Poster]
Extrapolating with a Recurrent Neural Network on Mazes
Dynamics Days, July 2025 — poster
Generalizing with Neural Networks on Mazes
Graduate Research and Discovery Symposium (GRADS), Colorado School of Mines, April 2025 — talk
[Slides]
Extrapolating with a Recurrent Neural Network on Mazes
IMSI Computational Imaging Workshop, University of Chicago, August 2024 — poster
Estimating Building Heights from Footprints and Coarse-Scale Height Data
Intern research symposium, Oak Ridge National Laboratory, July 2023 — poster
[Poster]
Teaching
Coding Bootcamp — designed and led a hands-on coding bootcamp for incoming Applied Mathematics & Statistics PhD students, introducing them to essential coding tools and best practices. Colorado School of Mines, August 2025
[Code]
Differential Equations — Instructor of Record (Spring 2024), delivering the course to 60 students and assisting with its design, after two years as teaching assistant. Colorado School of Mines, 2022–2024