I received my PhD in Aeronautics & Astronautics from the University of Washington, and my BS in Mechanical Engineering from the University of Vermont. My research has involved the areas of pose estimation, deep learning, Lipschitz analysis, computer vision, and unscented filtering.
email / github / gitlab / google scholar
Code for computing bounds on the local Lipschitz constants of ReLU networks
Avant & Morgansen
Software Impacts
in preparation
code capsule
On the sensitivity of pose estimation neural networks: Rotation parameterizations, Lipschitz constants, and provable bounds
Avant & Morgansen
Automatica
2023
paper
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preprint
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code
Analytical bounds on the local Lipschitz constants of ReLU networks
Avant & Morgansen
IEEE Transactions on Neural Networks and Learning Systems
2023
paper
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preprint
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code
Analytical bounds on the local Lipschitz constants of affine-ReLU functions
Avant & Morgansen
Arxiv (1st evolution of the IEEE TNNLS paper)
2020
paper
Rigid body dynamics estimation by unscented filtering pose estimation neural networks
Avant & Morgansen
American Control Conference (ACC)
2020
paper
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code
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video
Observability properties of object pose estimation
Avant & Morgansen
American Control Conference (ACC)
2019
paper
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code
Dynamics, hover configurations, and rotor failure restabilization of a morphing quadrotor
Avant & Morgansen
American Control Conference (ACC)
2018
paper
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code
Size effects in bimetallic nickel–gold nanowires: Insight from atomic force microscopy nanoindentation
Wood, Avant, Kim, Lee, Burchman, Hughes, & Sansoz
Acta Materialia
2014
paper
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pdf
Characterization of bio-inspired synthetic hair cell sensors
Jampole, Spurgeon, Avant, & Farinholt
Topics in Modal Analysis II, Volume 6
2012
paper
Evaluation of energy harvesting conditioning circuits
Avant, Cruce, Park, & Farinholt
Industrial and Commercial Applications of Smart Structures Technologies 2012
2012
paper
Connecting multiple sensors over I2C in embedded Linux: an example using a LIDAR-Lite and PX4Flow
paper
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code
PhD: Provable and Control-Theoretic Methods for Deep Object Pose Estimation
paper
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video
MS: Multi-Vehicle Function Tracking by Moment Matching
paper
BS: Atomistic Simulation Study of Indentation of Metallic Nanowires
paper