Eric Elmoznino

According to our database, Eric Elmoznino authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A Compression Perspective on Simplicity Bias.

Tom Marty, Eric Elmoznino, Léo Gagnon, Tejas Kasetty, Mizu Nishikawa-Toomey, Sarthak Mittal, Guillaume Lajoie, Dhanya Sridhar

CoRR, March, 2026

2025

Engineering Sentience.

Konstantin Demin, Taylor W. Webb, Eric Elmoznino, Hakwan Lau

CoRR, June, 2025

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective.

Léo Gagnon, Eric Elmoznino, Sarthak Mittal, Tom Marty, Tejas Kasetty, Dhanya Sridhar, Guillaume Lajoie

CoRR, June, 2025

Does learning the right latent variables necessarily improve in-context learning?

Sarthak Mittal, Eric Elmoznino, Léo Gagnon, Sangnie Bhardwaj, Guillaume Lajoie, Dhanya Sridhar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

In-Context Learning and Occam's Razor.

Eric Elmoznino, Tom Marty, Tejas Kasetty, Léo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards a Formal Theory of Representational Compositionality.

Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-agent cooperation through learning-aware policy gradients.

Alexander Meulemans, Seijin Kobayashi, Johannes von Oswald, Nino Scherrer, Eric Elmoznino, Blake Aaron Richards, Guillaume Lajoie, Blaise Agüera y Arcas, João Sacramento

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

High-performing neural network models of visual cortex benefit from high latent dimensionality.

Eric Elmoznino, Michael F. Bonner

PLoS Comput. Biol., January, 2024

A Complexity-Based Theory of Compositionality.

Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie

CoRR, 2024

Amortizing intractable inference in large language models.

Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Discrete, compositional, and symbolic representations through attractor dynamics.

Andrew Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie

CoRR, 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

CoRR, 2023

Sources of Richness and Ineffability for Phenomenally Conscious States.

Xu Ji, Eric Elmoznino, George Deane, Axel Constant, Guillaume Dumas, Guillaume Lajoie, Jonathan Simon, Yoshua Bengio

CoRR, 2023