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12/01/2022
A Topological Deep Learning Framework for Neural Spike Decoding
The brain's spatial orientation system uses different neuron ensembles t...
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11/08/2022
Quantum Persistent Homology for Time Series
Persistent homology, a powerful mathematical tool for data analysis, sum...
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01/14/2021
Topological Deep Learning
This work introduces the Topological CNN (TCNN), which encompasses sever...
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09/24/2020
Bayesian Topological Learning for Classifying the Structure of Biological Networks
Actin cytoskeleton networks generate local topological signatures due to...
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12/18/2019
Bayesian Topological Learning for Brain State Classification
Investigation of human brain states through electroencephalograph (EEG) ...
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01/07/2019
Bayesian Inference for Persistent Homology
Persistence diagrams offer a way to summarize topological and geometric ...
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12/24/2018
Bayesian Point Set Registration
Point set registration involves identifying a smooth invertible transfor...
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12/04/2018
A Stable Cardinality Distance for Topological Classification
This work incorporates topological and geometric features via persistenc...
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03/07/2018