Jean Erik Delanois

According to our database, Jean Erik Delanois authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Context is All You Need.

Jean Erik Delanois, Shruti Joshi, Ryan Golden, Teresa Nick, Maxim Bazhenov

CoRR, April, 2026

Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes.

Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Maxim Bazhenov

CoRR, March, 2026

Sleep-Like Replay Reduces Loss-Landscape Sharpness to Improve Generalization (Student Abstract).

Krishi Chawda, Jean Erik Delanois, Giri P. Krishnan, Maksim Bazhenov

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract).

Diana Vins, Jean Erik Delanois, Maxim Bazhenov

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Unsupervised sleep-like processes for enhancing neural networks

Jean Erik Delanois

PhD thesis, 2024

Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.

Brianna Marsh, M. Gabriela Navas-Zuloaga, Burke Q. Rosen, Yury Sokolov, Jean Erik Delanois, Oscar C. Gonzalez, Giri P. Krishnan, Eric Halgren, Maxim Bazhenov

PLoS Comput. Biol., 2024

Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced.

Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois

CoRR, 2024

Unsupervised Replay Strategies for Continual Learning with Limited Data.

Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois

Proceedings of the International Joint Conference on Neural Networks, 2024

Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract).

Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Robustness of Convolutional Networks Through Sleep-Like Replay.

Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation.

Ryan Golden, Jean Erik Delanois, Pavel Sanda, Maxim Bazhenov

PLoS Comput. Biol., November, 2022