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ORCIDEric Elmoznino
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2020 – today
- 2024
[j1]Eric Elmoznino
, Michael F. Bonner:
High-performing neural network models of visual cortex benefit from high latent dimensionality. PLoS Comput. Biol. 20(1) (2024)- [c1]Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin:
Amortizing intractable inference in large language models. ICLR 2024 - [i5]Sarthak Mittal, Eric Elmoznino, Léo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie:
Does learning the right latent variables necessarily improve in-context learning? CoRR abs/2405.19162 (2024) - 2023
- [i4]Xu Ji, Eric Elmoznino, George Deane, Axel Constant, Guillaume Dumas, Guillaume Lajoie, Jonathan Simon, Yoshua Bengio:
Sources of Richness and Ineffability for Phenomenally Conscious States. CoRR abs/2302.06403 (2023) - [i3]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:
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. CoRR abs/2308.08708 (2023) - [i2]Andrew Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie:
Discrete, compositional, and symbolic representations through attractor dynamics. CoRR abs/2310.01807 (2023) - [i1]Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin:
Amortizing intractable inference in large language models. CoRR abs/2310.04363 (2023)
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