Statistical Learning
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Natural gradient enables fast sampling in spiking neural networks
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For animals to navigate an uncertain world, their brains need to estimate uncertainty at the timescales of sensations and actions.
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Techniques for Symbol Grounding with SA TNet Sever T opan
Neural Information Processing Systems
Many experts argue that the future of artificial intelligence is limited by the field's
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Target alignment in truncated kernel ridge regression
Neural Information Processing Systems
We show that TKRR can achieve a fast rate of convergence in the over-aligned regime.
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