| 2026 | AAAI | Sleep-Like Replay Reduces Loss-Landscape Sharpness to Improve Generalization (Student Abstract). | Krishi Chawda, Jean Erik Delanois, Giri P. Krishnan, Maksim Bazhenov |
| 2024 | AAAI | Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract). | Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois |
| 2024 | AAAI | Evaluation of Large Language Models on Code Obfuscation (Student Abstract). | Adrian Swindle, Derrick McNealy, Giri P. Krishnan, Ramyaa Ramyaa |
| 2024 | IJCNN | Unsupervised Replay Strategies for Continual Learning with Limited Data. | Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois |
| 2023 | ICMLA | Improving Robustness of Convolutional Networks Through Sleep-Like Replay. | Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov |
| 2020 | AAAI | Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks. | Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov |
| 2020 | ICLR | Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks. | Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov |