Roman Kouznetsov
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    • BayXenSmooth - Smooth and Spatial Bayesian Clustering for Xenium Data
    • A Graph Convolutional Network for Spatial Transcriptomics Modelling
    • Needs, priorities, and attitudes of individuals with spinal cord injury toward nerve stimulation devices for bladder and bowel function - a survey
  • Teachings
    • STATS 507 @ University of Michigan
    • Vertias AI
    • STATS 306 @ University of Michigan
    • STATS 250 @ University of Michigan
    • Hermiona Education
    • Educational Student Services @ Case Western Reserve University
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    • R-AI-NDO Helpbot
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    • Half Truth
    • State Population Estimates by Month (statepopsmonthly.com)
    • Project "CEO"
    • Bayesian Analysis of Mask Mandate Effectiveness
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    • Project Hope for Ukranian Humanitarian Aid
    • St Jude Children's Research Hospital
    • American Heart Association (AHA)
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  • Experience
  • Talks
    • Probabilistic Machine Learning Research Group Talks
    • Statistical Inference for Spatial Transcriptomics in the Age of Deep Learning
    • Discovering Spatial Differential Expression with Graph Convolutional Networks
    • deepST - A Graph Convolutional Autoencoder for Spatial Transcriptomics

Probabilistic Machine Learning Research Group Talks

Oct 18, 2023·
Roman Kouznetsov
Roman Kouznetsov
· 0 min read
Slides
Image credit:
Abstract
The complete collection of slides/notes for analyzing developments in probabilstic machine learning.
Date
Oct 18, 2023
Event
Probabilistic Machine Learning Reading Group
Location

University of Michigan

Last updated on Oct 18, 2023
Roman Kouznetsov
Authors
Roman Kouznetsov
PhD Candidate
Statistical Inference for Spatial Transcriptomics in the Age of Deep Learning Aug 5, 2023 →

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