2024 |
A Complexity-Based Theory of Compositionality.
Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie
Preprint
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2024 |
In-context learning and Occam's razor.
Eric Elmoznino, Tom Marty, Tejas Kasetty, Leo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie
Preprint
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2024 |
Multi-agent cooperation through learning-aware policy gradients.
Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Richards, Guillaume Lajoie, Blaise Aguera y Arcas, João Sacramento
Preprint
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2024 |
Amortizing intractable inference in large language models.
Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
ICLR talk — best paper honorable mention
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2024 |
Sources of Richness and Ineffability for Phenomenally Conscious States.
Eric Elmoznino, Xu Ji, George Deane, Axel Constant, Guillaume Dumas, Guillaume Lajoie, Jonathan Simon, Yoshua Bengio
Neuroscience of Consciousness
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2024 |
High-performing neural network models of visual cortex
benefit from high latent dimensionality.
Elmoznino E., & Bonner M. F.
PLOS Computational Biology
|
2024 |
Does learning the right latent variables necessarily improve in-context learning?
Elmoznino E., Sarthak Mittal, Leo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie
ICLR Workshop poster
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2024 |
Convolutional architectures are cortex-aligned de novo.
Atlas Kazemian, Elmoznino E., Michael F. Bonner
Preprint
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2023 |
Discrete, compositional, and symbolic representations through attractor dynamics.
Andrew Nam, Elmoznino E., Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie
NeurIPS Workshop talk
|
2023 |
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness.
Patrick Butlin, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M. Fleming, Chris Frith, Xu Ji, Ryota Kanai, Colin Klein, Grace Lindsay, Matthias Michel, Liad Mudrik, Megan A. K. Peters, Eric Schwitzgebel, Jonathan Simon, Rufin VanRullen
Preprint
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2023 |
Scene context is predictive of unconstrained object similarity judgments.
Caterina Magri, Eric Elmoznino, Michael F. Bonner
Cognition
|
2023 |
Learning Macro Variables with Auto-encoders.
Maitreyi Swaroop, Eric Elmoznino, Dhanya Sridhar
NeurIPS Workshop poster
|
2020 |
Visual representations derived from multiplicative
interactions.
Elmoznino E., & Bonner M. F.
NeurIPS Workshop poster
|
2019 |
A new procedure, free from human assessment that
automatically grades some facial skin structural
signs. Comparison with assessments by experts, using
referential atlases of skin ageing.
Jiang R., Kezele I., Levinshtein A., Flament F., Zhang J.,
Elmoznino E.,
Ma J., Ma J., Coquide J., Arcin V., Omoyuri E., Aarabi P.
International Journal of Cosmetic Science
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2022 |
System and method for image processing using deep neural
networks.
Levinshtein A., Chang C., Phung E., Kezele I., Guo W.,
Elmoznino E., Jiang R., Aarabi P.
U.S. Patent No. 11216988
|
2021 |
Image-to-image translation using unpaired data for
supervised learning.
Elmoznino E., Kezele I., Aarabi P.
U.S. Patent Application No. 17096774
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2020 |
System and method for augmented reality using
conditional cycle-consistent generative image-to-image
translation models.
Elmoznino E., Ma H., Kezele I., Phung E., Levinshtein A.,
Aarabi P.
U.S. Patent Application No. 16683398
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2020 |
Machine image colour extraction and machine image
construction using an extracted colour.
Elmoznino E., Aarabi P., Zhang Y.
U.S. Patent Application No. 16854975
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2020 |
Automatic image-based skin diagnostics using deep
learning.
Jiang R., Ma J., Ma H., Elmoznino E., Kezele I.,
Levinshtein A., Charbit J.,
Despois J., Perrot M., Antoinin F., Flament R.S., Parham A.
U.S. Patent Application No. 16702895
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