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Eric Elmoznino
ORCID
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 7
Top Topics
Neural Network Model
Latent Variables
Symbolic Representation
Language Model
Top Venues
CoRR
ICLR
PLoS Comput. Biol.
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Publications
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Sarthak Mittal
,
Eric Elmoznino
,
Léo Gagnon
,
Sangnie Bhardwaj
,
Dhanya Sridhar
,
Guillaume Lajoie
Does learning the right latent variables necessarily improve in-context learning?
CoRR
(2024)
Edward J. Hu
,
Moksh Jain
,
Eric Elmoznino
,
Younesse Kaddar
,
Guillaume Lajoie
,
Yoshua Bengio
,
Nikolay Malkin
Amortizing intractable inference in large language models.
ICLR
(2024)
Eric Elmoznino
,
Michael F. Bonner
High-performing neural network models of visual cortex benefit from high latent dimensionality.
PLoS Comput. Biol.
20 (1) (2024)
Edward J. Hu
,
Moksh Jain
,
Eric Elmoznino
,
Younesse Kaddar
,
Guillaume Lajoie
,
Yoshua Bengio
,
Nikolay Malkin
Amortizing intractable inference in large language models.
CoRR
(2023)
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
(2023)
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
(2023)
Andrew Nam
,
Eric Elmoznino
,
Nikolay Malkin
,
Chen Sun
,
Yoshua Bengio
,
Guillaume Lajoie
Discrete, compositional, and symbolic representations through attractor dynamics.
CoRR
(2023)