Joshua Hanson

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Nonlinear Systems

Noise Cancellation

Top Venues

Stat. Anal. Data Min.

Publications

Joshua Hanson, Maxim Raginsky
Rademacher complexity of neural ODEs via Chen-Fliess series. L4DC (2024)
Joshua Hanson, Maxim Raginsky
Rademacher Complexity of Neural ODEs via Chen-Fliess Series. CoRR (2024)
Joshua Hanson, Biliana S. Paskaleva, Pavel B. Bochev
Non-intrusive data-driven model order reduction for circuits based on Hammerstein architectures. CoRR (2024)
Joshua Hanson, Maxim Raginsky
Fitting an immersed submanifold to data via Sussmann's orbit theorem. CDC (2022)
Joshua Hanson, Maxim Raginsky
Fitting an immersed submanifold to data via Sussmann's orbit theorem. CoRR (2022)
Joshua Hanson, Maxim Raginsky, Eduardo D. Sontag
Learning Recurrent Neural Net Models of Nonlinear Systems. L4DC (2021)
Joshua Hanson, Pavel B. Bochev, Biliana S. Paskaleva
Learning compact physics-aware delayed photocurrent models using dynamic mode decomposition. Stat. Anal. Data Min. 14 (6) (2021)
Joshua Hanson, Maxim Raginsky, Eduardo D. Sontag
Learning Recurrent Neural Net Models of Nonlinear Systems. CoRR (2020)
Joshua Hanson, Maxim Raginsky
Universal Simulation of Stable Dynamical Systems by Recurrent Neural Nets. L4DC (2020)
Joshua Hanson, Pavel B. Bochev, Biliana S. Paskaleva
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition. CoRR (2020)
Joshua Hanson, Maxim Raginsky
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets. NeurIPS (2019)
Joshua Hanson, Maxim Raginsky
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets. CoRR (2019)