| A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of … R Jiang, I Kezele, A Levinshtein, F Flament, J Zhang, E Elmoznino, J Ma, ... International Journal of Cosmetic Science 41 (1), 67-78, 2019 | 32 | 2019 |
| Consciousness in artificial intelligence: Insights from the science of consciousness P Butlin, R Long, E Elmoznino, Y Bengio, J Birch, A Constant, G Deane, ... arXiv preprint arXiv:2308.08708, 2023 | 17 | 2023 |
| High-performing neural network models of visual cortex benefit from high latent dimensionality E Elmoznino, MF Bonner bioRxiv, 2022.07. 13.499969, 2022 | 12 | 2022 |
| System and method for image processing using deep neural networks A Levinshtein, C Chang, E Phung, I Kezele, GUO Wenzhangzhi, ... US Patent 11,216,988, 2022 | 11 | 2022 |
| Sources of richness and ineffability for phenomenally conscious states X Ji, E Elmoznino, G Deane, A Constant, G Dumas, G Lajoie, J Simon, ... arXiv preprint arXiv:2302.06403, 2023 | 5 | 2023 |
| Machine image colour extraction and machine image construction using an extracted colour E Elmoznino, P Aarabi, Y Zhang US Patent 11,461,931, 2022 | 2 | 2022 |
| System and method for image processing using deep neural networks A Levinshtein, C Chang, E Phung, I Kezele, GUO Wenzhangzhi, ... US Patent App. 17/565,581, 2022 | 2 | 2022 |
| Amortizing intractable inference in large language models EJ Hu, M Jain, E Elmoznino, Y Kaddar, G Lajoie, Y Bengio, N Malkin arXiv preprint arXiv:2310.04363, 2023 | | 2023 |
| Discrete, compositional, and symbolic representations through attractor dynamics A Nam, E Elmoznino, N Malkin, C Sun, Y Bengio, G Lajoie arXiv preprint arXiv:2310.01807, 2023 | | 2023 |
| Scene context is predictive of unconstrained object similarity judgments C Magri, E Elmoznino, MF Bonner Cognition 239, 105535, 2023 | | 2023 |
| Toward a computational neuroscience of visual cortex without deep learning A Kazemian, E Elmoznino, M Bonner Journal of Vision 23 (9), 5455-5455, 2023 | | 2023 |
| Image-to-image translation using unpaired data for supervised learning E Elmoznino, I Kezele, P Aarabi US Patent App. 18/102,139, 2023 | | 2023 |
| System and method for augmented reality using conditional cycle-consistent generative image-to-image translation models E Elmoznino, H Ma, I Kezele, E Phung, A Levinshtein, P Aarabi US Patent 11,645,497, 2023 | | 2023 |
| Automatic image-based skin diagnostics using deep learning R Jiang, J Ma, H Ma, E Elmoznino, I Kezele, A Levinshtein, J Despois, ... US Patent App. 18/080,331, 2023 | | 2023 |
| Image-to-image translation using unpaired data for supervised learning E Elmoznino, I Kezele, P Aarabi US Patent 11,615,516, 2023 | | 2023 |
| Automatic image-based skin diagnostics using deep learning R Jiang, J Ma, H Ma, E Elmoznino, I Kezele, A Levinshtein, J Despois, ... US Patent 11,553,872, 2023 | | 2023 |
| Latent dimensionality scales with the performance of deep learning models of visual cortex E Elmoznino, M Bonner Journal of Vision 22 (14), 3704-3704, 2022 | | 2022 |
| Machine image colour extraction and machine image construction using an extracted colour E Elmoznino, P Aarabi, Y Zhang US Patent App. 17/869,942, 2022 | | 2022 |
| Context predicts commonsense notions of object similarity C Magri, E Elmoznino, MF Bonner PsyArXiv, 2022 | | 2022 |
| High-performing computational models of visual cortex are marked by high intrinsic dimensionality E Elmoznino, M Bonner Journal of Vision 21 (9), 2662-2662, 2021 | | 2021 |
Parham AarabiProfessor of Electrical and Computer Engineering, University of TorontoVerified email at ecf.utoronto.ca
