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Posts with #VariationalInference

#VariationalInference

Public posts on X that use #VariationalInference.

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  3. Blei Lab@blei_lab
    David Blei to give a mini-course on #variationalinference at @columbia_econ this Thursday, Sept 26 & Friday, Sept. 27. This tutorial is part of Columbia's Program for Economic Research
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  4. Alexandre Andorra@alex_andorra
    New episode is out! All about #MCMC & #VariationalInference Enjoy, and get in touch for any feedback or suggestions ;)
    Pierre-Simon Laplace @LearnBayesStats
    Episode 90 with @charlesm993 is out! We cover methods like variational inference & MCMC sampling and then dive into Charles' work in #pharmacometrics to see these methods applied! We're also on Youtube now, in case you want to add a face to our voices:
    003654
  5. Pierre-Simon Laplace@LearnBayesStats
    Episode 90 with @charlesm993 is out! We cover methods like variational inference & MCMC sampling and then dive into Charles' work in #pharmacometrics to see these methods applied! We're also on Youtube now, in case you want to add a face to our voices:
    27196.3K
  7. Blei Lab@blei_lab
    Today at #JSM2020: - 10:50 am EST, D. Blei will discuss some recent research on #variationalinference. Details: - 1:30 pm EST, @chris_naesseth will talk about Variational & Sequential Monte Carlo Methods at the Savage Award Session
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  16. seismic@cataseismic
    Variational Inference and Deep Learning: An Intuitive Introduction (by Alex Lamb) #deeplearning
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  17. Elham Azizi@elhamazizi
    We are thrilled to share #Starfysh ⭐️ an auxiliary deep generative model for multi-modal analysis and integration of spatial transcriptomic (ST) datasets and histology images, and its application to heterogeneous #breastcancer tumors! 😃 1/
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    12100484
  18. Elham Azizi@elhamazizi
    @elhamazizi
    Starfysh jointly models ST and histology to decompose 🧲 cell states, using anchors⚓️ (empirical prior) constructed by archetypal analysis and any curated genesets 👉 Can detect context-specific states (e.g. patient tumor cells) and find shared immune states across samples 5/
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  19. Elham Azizi@elhamazizi
    @elhamazizi
    For #machinelearning enthusiasts, a specially structured #variationalinference is used with cell state proportions as auxiliary variables ➕ a variational information bottleneck approach (PoE) for histology integration 💻 6/
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  23. Anand Khandekar@anandkhandekar
    The foundation of many an application in today's AI/ML algorithms has its base in this GEM ( General E-M ) algorithm published in 1977. Glad to have it in my Bibtex references. #VariationalInference #ML
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