I'm a hacker at heart, moonlighting as a Senior Research Scientist at Cruise AI Research. I completed my PhD at the University of Washington where I worked on machine learning and robotics, advised by Sidd Srinivasa. My research interests span deep learning, programming languages, and immunology. In the past I've also worked on Bayesian modeling, variational inference, deep generative models, and more.
Before joining UW I spent four wonderful years at Brown University, followed by a stint in Silicon Valley working on self-driving cars among other wild things.
My life goal is to cure spondyloarthritis.
You can find me on Twitter, GitHub, and LinkedIn. Outdated CV.
This is often out of date. Consider checking my Google Scholar profile.
Git Re-Basin: Merging Models modulo Permutation SymmetriesS. Ainsworth, J. Hayase, S. Srinivasa
ICLR 2023 Oral
[#1 highest score out of 4,849 submissions] [tweet thread] [code] [video]
Invited talks at Berkeley AI Research, Columbia, ML Collective, Pacific Northwest National Labs, Cruise, and more.
Faster Policy Learning with Continuous-Time GradientsS. Ainsworth, K. Lowrey, J. Thickstun, Z. Harchaoui, S. Srinivasa
Mo' States Mo' Problems: Emergency Stop Mechanisms from ObservationS. Ainsworth, M. Barnes, S. Srinivasa
Mosaic: A Sample-Based Database System for Open World Query ProcessingL. Orr, S. Ainsworth, W. Cai, K. Jamieson, M. Balazinska, D. Suciu
Disentangled VAE Representations for Multi-Aspect and Missing DataS. Ainsworth, N. Foti, E. Fox
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor AnalysisS. Ainsworth, N. Foti, A. Lee, E. Fox
ICML 2018 [video]
Interactive Preference Learning of Utility Functions for Multi-Objective OptimizationI. Dewancker, M. McCourt, S. Ainsworth
NIPS 2016 workshop
And many more on my GitHub...