Alexander Lerchner
About
Alexander Lerchner has authored 15 papers that have received a total of 1.1k indexed citations.
This includes 8 papers in Artificial Intelligence, 6 papers in Cognitive Neuroscience and 5 papers in Computer Vision and Pattern Recognition. The topics of these papers are Neural dynamics and brain function (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and stochastic dynamics and bifurcation (4 papers). Alexander Lerchner is often cited by papers focused on Neural dynamics and brain function (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and stochastic dynamics and bifurcation (4 papers) and collaborates with scholars based in United States, United Kingdom and Denmark. Alexander Lerchner's co-authors include Löıc Matthey, Christopher Burgess, Irina Higgins, John Hertz and Matthew Botvinick and has published in prestigious journals such as Neural Computation, Neurocomputing and Network Computation in Neural Systems.
In The Last Decade
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