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Congratulations to Mila researchers for their paper "Amortizing intractable inference in large language models", which received an Honorable Mention at #ICLR2024! Edward Hu Moksh Jain Eric Elmoznino Younesse Kaddar Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin ICLR 2026

Untrained CNNs can predict visual cortex representations way better than you might expect! New preprint led by a brilliant student, Atlas Kazemian

Excited about new work on ICL comparing current implicit approaches to explicit task latent variable inference using transformers. Joint work with Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar and Guillaume Lajoie Preprint out now at: arxiv.org/abs/2405.19162

New preprint where we ask if the psychedelic-induced hallucinations can be explained by the role of dendrites in learning mechanisms in the brain. In short: classical psychedellics might hijack physiological gating mechanisms in generative learning. biorxiv.org/content/10.110…

How continuous neural activity learns and supports discrete, symbolic & compositional processes remains an important question for Cog Sci and AI. Here we explore ways to achieve both symbolic and sub-symbolic processing using attractor dynamics. arxiv.org/abs/2310.01807