Research publications

Please see my Google Scholar and arXiv profiles for my research papers, which range from AI/ML to neuroscience.

Main

Recursive Cortical Network

  • George, Lavin, et al. A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs. Science 2017. /// paper, blog, code

  • George, Lavin, et al. Cortical Microcircuits from a Generative Vision Model. CCN 2018. /// paper

Hierarchical Temporal Memory

  • Ahmad, Lavin, et al. Unsupervised real-time anomaly detection for streaming data. Neurocomputing 2017. /// paper, code

  • Hawkins, Lavin, et al. Biological and Machine Intelligence. 2016. /// book

Recent in-press

  • Lavin (2019), Predictive Modeling Neurodegenerative Processes with a Domain-Specific Probabilistic Programming Language.

  • Haney & Lavin. Probabilistic Domain-Expert Hyperspherical Networks. CVPR Fine-grain Vision Workshop 2020.

  • Lavin. Integration of human-like covert-overt attention with probabilistic neural networks. Neuroscience to Artificially Intelligent Systems (NAISys) 2020.

  • Naud & Lavin (2020), Manifolds for Visual Anomaly Detection.

  • Lavin (2020), Probabilistic Programmed Causal Inference.


AI & ML articles

I contribute articles to Forbes on AI & ML, discussing important intersections with these technologies and society.


And speaking…

On brains n bits, AI, and SW. For example,

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