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cs.LG2022
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang, Phillip Isola
Asymmetrical distance structures (quasimetrics) are ubiquitous in our lives and are gaining more attention in machine learning applications. Imposing such quasimetric structures in…
cs.CV2022
Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections
Simone Azeglio, Simone Poetto, Luca Savant Aira +1
Computational models of vision have traditionally been developed in a bottom-up fashion, by hierarchically composing a series of straightforward operations - i.e. convolution and p…