Yoshimasa Kubo

According to our database, Yoshimasa Kubo authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dendritic Neural Networks with Equilibrium Propagation.

Yoshimasa Kubo

CoRR, May, 2026

Heterogeneous Time Constants Improve Stability in Equilibrium Propagation.

Yoshimasa Kubo, Suhani Pragnesh Modi, Smit Patel

CoRR, March, 2026

2025

Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability.

Yoshimasa Kubo, Jean Erik Delanois, Maxim Bazhenov

CoRR, August, 2025

2022

Neurons learn by predicting future activity.

Artur Luczak, Bruce L. McNaughton, Yoshimasa Kubo

Nat. Mach. Intell., 2022

Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework.

Yoshimasa Kubo, Eric Chalmers, Artur Luczak

Frontiers Comput. Neurosci., 2022

Biologically-inspired neuronal adaptation improves learning in neural networks.

Yoshimasa Kubo, Eric Chalmers, Artur Luczak

CoRR, 2022

2019

Learning Adaptive Weight Masking for Adversarial Examples.

Yoshimasa Kubo, Michael Traynor, Thomas Trappenberg, Sageev Oore

Proceedings of the International Joint Conference on Neural Networks, 2019

Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples.

Yoshimasa Kubo, Thomas Trappenberg

Proceedings of the Advances in Artificial Intelligence, 2019

2017

In vivo classification of inflammation in blood vessels with convolutional neural networks.

Stuart McIlroy, Yoshimasa Kubo, Thomas Trappenberg, James Toguri, Christian Lehmann

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017