| Modeling biological immunity to adversarial examples E Kim, J Rego, Y Watkins, GT Kenyon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 27 | 2020 |
| Learning spiking neural network models of drosophila olfaction J Carter, J Rego, D Schwartz, V Bhandawat, E Kim International Conference on Neuromorphic Systems 2020, 1-5, 2020 | 6 | 2020 |
| The selectivity and competition of the mind’s eye in visual perception E Kim, M Daniali, J Rego, GT Kenyon ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| Dictionary Learning with Accumulator Neurons G Parpart, C Gonzalez Rivera, T Stewart, E Kim, J Rego, A O'Brien, ... Proceedings of the International Conference on Neuromorphic Systems 2022, 1-9, 2022 | 2 | 2022 |
| CAVA: Cognitive Aid for Vulnerability Analysis E Kim, S Fugate, C Lebiere, A Barbieux, J Buch, J Cho, E Cranford, ... | | 2024 |
| A novel model of primary visual cortex based on biologically plausible sparse coding J Rego, Y Watkins, G Kenyon, E Kim, M Teti Applications of Machine Learning 2023 12675, 156-161, 2023 | | 2023 |
| How Can Neuroscience Help Us Build More Robust Deep Neural Networks? SV Dibbo, S Mansingh, J Rego, GT Kenyon, J Moore, M Teti The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | | 2023 |
| Decoding Internal Decision Making During Reverse Engineering Tasks B Marsh, J Rego, MM Levy, MP Sayer, A Waagen, A Barbieux, ... bioRxiv, 2023.10. 10.561734, 2023 | | 2023 |
| Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks SC Nesbit, A O'Brien, J Rego, G Parpart, C Gonzalez, GT Kenyon, E Kim, ... Proceedings of the International Conference on Neuromorphic Systems 2022, 1-8, 2022 | | 2022 |
| Biologically Inspired Robust Perception Approximating Sparse Coding [Slides] JR Rego, G Kenyon, E Kim Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2021 | | 2021 |
