MLBBQ: Neural Collapse During Terminal Phase of DL training by Brad Baker

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Kolmogorov-Arnold Networks (KANs): Redefining Neural Nets? | MLBBQ | Theodore LaGrow

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MLBBQ: A graph neural network framework for causal inference in brain networks by William Ashbee

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MLBBQ: Superposition in Neural Networks II by Pavel Popov

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MLBBQ: The Neural Race Reduction: Dynamics of Abstraction in Gated Networks by Brad Baker

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MLBBQ: Deep Causality Variational Autoencoder for Brain Disorders by Joanne Wardell

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MLBBQ: Getting aligned on Representational alignment by Pavel Popov

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MLBBQ: \

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Somato-Cognitive Action Network: A New Homunculus in the Motor Cortex | MLBBQ | Theodore LaGrow

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MLBBQ: A U-turn on Double Descent by Sergey Plis

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MLBBQ: Gradients without Backpropagation by Pavel Popov

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MLBBQ: ICML (\u0026 IJCNN) memorable moments

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AlphaFold: Revolutionizing Protein Science with AI | MLBBQ | Theodore LaGrow

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Recurrent Neural Networks Explained #ai #deeplearning #machinelearning

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MLBBQ: Pointersect: Neural Rendering with Cloud-Ray Intersection by Mrinal Mathur

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MLBBQ: How to guess gradients by Pavel Popov

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MLBBQ: Deep reinforcement learning and its neuroscientific implications by Eloy Geenjaar

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MLBBQ: learning interpretable dynamical systems from fMRI data by Eloy Geenjaar

(44:41)