Gatsby Computational Neuroscience, UCL, Theoretical Machine Learning and Neuroscience
Blind-Bounded-Source-Seperation. Recurrent Neural Network with Local Learning Rules for Blind Bounded Source Seperation
7Online-Bounded-Component-Analysis. Paper Implementation - Two Layer Recurrent Neural Network with Local Update Rule for Dependent and Independent Source Seperation
2Doubly-Robust-Kernel-Proxy-Variable-Algorithm. Doubly Robust algorithm for Proxy Causal Learning with kernel methods.
2Density-Ratio-Based-Proxy-Causal-Learning-without-Density-Ratios. Jupyter Notebook
1Supervised-CorInfoMax. Biologically-Plausible Correlative Information Maximization for Supervised Learning
1Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation. Log-Determinant Mutual Information Based Online Blind Source Separation
1Biologically-Plausible-DetMaxNNs-for-Blind-Source-Separation. Biologically Plausible Two Layered Weighted Similarity Matching Based Recurrent Neural Networks for Blind Separation of Correlated Sources
1Predictive-Entropy-Maximization. Biologically plausible neural network for source separation relying on local learning, employing dendritic computation and lateral inhibition derived from normative principles
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