Probabilistic Brain Modeling
Yoshua and Tim discuss the potential of using gflownets to model the brain's probabilistic structure, emphasizing the importance of estimating entropy in decision-making processes. Yoshua highlights the synergy between computational neuroscience and machine learning in understanding high-level cognition.In this clip
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Machine Learning Street Talk (MLST)
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
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