Jack D. Kendall

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Comparative Study

Learning Algorithm

Reservoir Computing

Power Law Degree Distribution

Top Venues

Neural Networks

Publications

Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar
Energy-based learning algorithms for analog computing: a comparative study. NeurIPS (2023)
Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar
Energy-based learning algorithms for analog computing: a comparative study. CoRR (2023)
Jack D. Kendall
A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation. CoRR (2021)
Jack D. Kendall, Ross D. Pantone, Kalpana Manickavasagam, Yoshua Bengio, Benjamin Scellier
Training End-to-End Analog Neural Networks with Equilibrium Propagation. CoRR (2020)
Jack D. Kendall, Ross D. Pantone, Juan C. Nino
Deep Learning in Memristive Nanowire Networks. CoRR (2020)
Laura E. Suárez, Jack D. Kendall, Juan C. Nino
) under the context of reservoir computing. Neural Networks 106 (2018)
Ross D. Pantone, Jack D. Kendall, Juan C. Nino
Memristive nanowires exhibit small-world connectivity. Neural Networks 106 (2018)