Elmoznino, Eric

9 publications

ICML 2025 Does Learning the Right Latent Variables Necessarily Improve In-Context Learning? Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Guillaume Lajoie, Dhanya Sridhar

ICML 2025 In-Context Learning and Occam’s Razor Eric Elmoznino, Tom Marty, Tejas Kasetty, Leo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie

ICLR 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 Aguera y Arcas, Joao Sacramento

ICML 2025 Towards a Formal Theory of Representational Compositionality Eric Elmoznino, Thomas Jiralerspong, Yoshua Bengio, Guillaume Lajoie

ICLR 2024 Amortizing Intractable Inference in Large Language Models Edward J Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin

ICLRW 2024 Explicit Knowledge Factorization Meets In-Context Learning: What Do We Gain? Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie

NeurIPSW 2023 Discrete, Compositional, and Symbolic Representations Through Attractor Dynamics Andrew Joohun Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie

NeurIPSW 2023 Learning Macro Variables with Auto-Encoders Dhanya Sridhar, Eric Elmoznino, Maitreyi Swaroop

NeurIPSW 2020 Visual Representations Derived from Multiplicative Interactions Eric Elmoznino, Michael Bonner