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GUIDE: Real-Time Human-Shaped Agents
Due to their inherent complexity, these tasks pose significant challenges for current machine learning systems.
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Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
The ability of a brain or a neural network to efficiently learn depends crucially on both the task structure and the learning rule.
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Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models
Certified adversarial robustness of large-scale deep networks has progressed substantially after the introduction of randomized smoothing.
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SAND: Smooth Imputation Of Sparse And Noisy Functional Data With Transformer Networks
The conventional approach to imputing longitudinal data is to employ a parametric model with mixed-effects, such as the linear mixed-effects model.
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