Resume
Education
University of Oregon
Ph.D. in Computer Science
Eugene, OR
Aug 2018 - current
Embry-Riddle Aeronautical Univeristy
B.S. Space Physics
Prescott, AZ
Aug 2012 - Dec 2014
Experience
Nvidia
Title: Metropolis Intern
Sep 2023 - current
- Increase performance on multi-camera multi-object detection systems.
- Improve generatlization of networks to increase accuracy on customer data.
- Generating syntehtic data for training with multiple conditions.
University of Oregon
Title: Graduate Researcher
Sep 2018 - current
- Research of generative models, with a focus on explicit density models.
- Researching attention mechanisms with restricted context window
- Developing better encoding methds for ViTs
Picsart
Title: Research Intern
Jun 2021 - Nov 2022
- Researching Generative Adversarial Networks (GANs)
- Researching distillation methods for Normalizing Flows
Lawrence Livermore National Laboratory
Title: Computational Scholar
Jun 2020 - Sep 2020
- Developed machine learning software to analyze noisy x-ray images
- Developed machine learning system to perform material identification and composition from noisy x-ray images.
Lawrence Livermore National Laboratory
Title: Computational Scholar
Jun 2019 - Sep 2019
- Studied machine learning systems for High Performance Computing (HPC) platforms in the context of visualization
- Developed model for generating interpolation for intermediate visualization.
Oak Ridge National Laboratory
Title: ASTRO Intern
Jun 2018 - Aug 2018
- Integrated ORNL's ADIOS2 data management framework in to LLNL's Ascent library
- Enabled in-line streaming of data between mutli-node HPC systems.
- Work led to development of Visualization as a Service (VaaS) frameworks
Gloyer-Taylor Labs LLC
Title: Engineer and Lead Scientist
Jun 2015 - May 2018
- Performed computational modeling for radiation protection systems on spacecraft using GEANT4 toolkit.
- Performed computational modeling to simulate acoustic dymanics inside rocket engines.
- Lead Phase I and Phase II STTR research to develop hybrid radiation shielding that can convert radiation into power.
- Wrote grants that led to successful Phase I and Phase II fundings.
Publications
StyleNAT: Giving Each Head a New Perspective
Steven Walton*, Ali Hassani, Xingqian Xu, Zhangyang Wang, Humphrey Shi
arXiv 2023
Neighborhood Attention Transformer
Ali Hassani*, Steven Walton, Jaichen Li, Shen Li, Humphrey Si
CVPR 2023
Design Amortization for Bayesian Optimal Experimental Design
Noble Kennamer*, Steven Walton, Alex Ihler
AAAI 2023
Semask: Semantically Masked Transformers for Semantic Segmentation
Jitesh Jain*, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi
CVPR 2023
ConvMLP: Hierarchical Convolutional MLPs for Vision
Jiachen Li*, Ali Hassani, Steven Walton, Humphrey Shi
CVPR 2023
Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani*, Steven Walton*, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi
arXiv 2021
Visualization as a Service for Scientific Data
David Pugmire*, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf
SMC 2020