Research
My main R&D initiatives and papers are listed below. Please see my Google Scholar and arXiv profiles for all my research papers.
Key: πΎ AI/ML, π§ neuro, π€ robotics, π Earth+space sciences, π° systems, π healthcare
Main initiatives (with papers)
Recursive Cortical Network πΎπ§ π€
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 πΎπ§ π€
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
Systems AI π°πΎ
Lavin et al (2021), Technology Readiness Levels for Machine Learning Systems. /// preprint
Lavin. Towards Systems AI & Decisions Intelligence. 2021 Spring AAAI Symposium. /// preprint
- Lavin & Renard. Technology Readiness Levels for Artificial Intelligence & Machine Learning. ICML 2020 Workshop on Challenges in Deploying ML Systems. /// paper
Other recent papers
- Lavin. Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Programmed Deep Kernels. 2021 International Workshop on Health Intelligence /// paper /// πΎπ
- Lavin (2021), Probabilistic Programmed Causal Inference. /// πΎ
Naud & Lavin (2020), Manifolds for Unsupervised Visual Anomaly Detection. /// paper
Haney & Lavin. Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors. CVPR Fine-grain Vision Workshop 2020. /// paper, video
Lutjens, Lavin, et al (2020). Physics-informed GANs for Coastal Flood Visualization. /// paper, demo /// ππΎ
Lippoldt & Lavin. Attention-Sampling Graph Convolutional Networks. 2020 BayLearn Symposium. /// πΎπ
Lavin (2020), Accelerating Gaussian Processes and Deep Kernel Networks on GPUs. /// video /// πΎ
Lavin (2019), Predictive Modeling Neurodegenerative Processes with a Domain-Specific Probabilistic Programming Language. /// πΎπ
Lavin. Integration of human-like covert-overt attention with probabilistic neural networks. Neuroscience to Artificially Intelligent Systems (NAISys) 2020. /// abs /// π§ πΎ