Joshua Hanson

18 papers A* 1Misc 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Expressivity of Quadratic Neural ODEs.
CoRR
Joshua Hanson, Maxim Raginsky
2025 J jnl
Fitting an immersed submanifold to data via Sussmann's orbit theorem.
Math. Control. Signals Syst.
Joshua Hanson, Maxim Raginsky
2025 J jnl
Nonintrusive Data-Driven Model Order Reduction for Circuits Based on Hammerstein Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Joshua Hanson, Paul Kuberry, Biliana S. Paskaleva, Pavel B. Bochev
2025 — conf
Tissue Characterization and Attenuation Mapping Using Multifrequency Ultrasound Imaging.
ISBI
Joshua Hanson, Kenneth Hoyt
2024 Misc conf
Constructing Noise-Robust Quantum Gates via Pontryagin's Maximum Principle.
QCE
Joshua Hanson, Dennis Lucarelli
2024 J jnl
Constructing Noise-Robust Quantum Gates via Pontryagin's Maximum Principle.
CoRR
Joshua Hanson, Dennis Lucarelli
2024 J jnl
Non-intrusive data-driven model order reduction for circuits based on Hammerstein architectures.
CoRR
Joshua Hanson, Biliana S. Paskaleva, Pavel B. Bochev
2024 J jnl
Rademacher Complexity of Neural ODEs via Chen-Fliess Series.
CoRR
Joshua Hanson, Maxim Raginsky
2024 — conf
Rademacher complexity of neural ODEs via Chen-Fliess series.
L4DC
Joshua Hanson, Maxim Raginsky
2022 — conf
Fitting an immersed submanifold to data via Sussmann's orbit theorem.
CDC
Joshua Hanson, Maxim Raginsky
2022 J jnl
Fitting an immersed submanifold to data via Sussmann's orbit theorem.
CoRR
Joshua Hanson, Maxim Raginsky
2021 — conf
Learning Recurrent Neural Net Models of Nonlinear Systems.
L4DC
Joshua Hanson, Maxim Raginsky, Eduardo D. Sontag
2021 J jnl
Learning compact physics-aware delayed photocurrent models using dynamic mode decomposition.
Stat. Anal. Data Min.
Joshua Hanson, Pavel B. Bochev, Biliana S. Paskaleva
2020 J jnl
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition.
CoRR
Joshua Hanson, Pavel B. Bochev, Biliana S. Paskaleva
2020 J jnl
Learning Recurrent Neural Net Models of Nonlinear Systems.
CoRR
Joshua Hanson, Maxim Raginsky, Eduardo D. Sontag
2020 — conf
Universal Simulation of Stable Dynamical Systems by Recurrent Neural Nets.
L4DC
Joshua Hanson, Maxim Raginsky
2019 A* conf
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets.
NeurIPS
Joshua Hanson, Maxim Raginsky
2019 J jnl
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets.
CoRR
Joshua Hanson, Maxim Raginsky