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Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks., и . NeurIPS, (2020)Towards Biologically Plausible Convolutional Networks., , , и . NeurIPS, стр. 13924-13936. (2021)Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained Binary Quadratic Optimization., , и . CoRR, (2017)Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks., , , , и . CoRR, (2019)On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits., и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 894-904. AUAI Press, (2019)Efficient Conditionally Invariant Representation Learning., , , , , и . ICLR, OpenReview.net, (2023)Synaptic Weight Distributions Depend on the Geometry of Plasticity., , , , , и . CoRR, (2023)Self-Supervised Learning with Kernel Dependence Maximization., , , и . NeurIPS, стр. 15543-15556. (2021)Efficient Conditionally Invariant Representation Learning., , , , , и . CoRR, (2022)Practical Kernel Tests of Conditional Independence., , , , и . CoRR, (2024)