Atılım Güneş Baydin

@atilimgunes

Machine learning, probabilistic programming, simulators, applications in physical sciences and space — University of Oxford

Vrijeme pridruživanja: ožujak 2011.

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  1. Prikvačeni tweet

    Submission deadline for the Machine Learning and the Physical Sciences workshop at extended to 16 September 2019! Invited speakers: Katie Bouman

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    2. velj

    Extremely rare global palindrome date today: 02022020 in US and Europe and nicer looking 20200202 in Japan. It’s even a palindromic 909 years since the last one....11111111.

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  3. 28. sij

    Thank you for having me visit!

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  4. 28. sij

    Yesterday I went down and visited the detector at 😃😃😃 Photos don't do justice to the scale of it!

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    28. sij

    This slide contains the largest number of plots ever shown !

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    28. sij

    Probabilistic inference with simulators with PyProb, tells us how it works!

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    28. sij

    Next we heard how graph NNs can learn force laws from !

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    28. sij

    Fascinating to see 60 years of jet physics in the language of Optimal Transport!

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    28. sij

    Starting our day Physics and AI track with , telling us about neural simulation based inference!

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  10. 27. sij
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    22. sij

    Just received my first academic citation ever...from a high energy physics paper: As machine learning researchers, sometimes we forget that our ideas have real-world applications beyond making pictures of cats. Good to be reminded.

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    Odgovor korisniku/ci

    The big 9-0! Hope you are as hale and hearty as ever! And stay that way!

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    20. sij

    Today is a special day. When asked for my birth date, I chuckle and say 1-20-30. Now, after circling the sun for 90 years, today is 1-2020. I came into this world in NJ on 1-20-30, and my mother was Marion Moon Aldrin and my father Edwin Aldrin. Here’s to 1-2025!

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  14. 9. sij

    Excited to join the team in NASA Space Robotics Challenge Phase 2 where we will use machine learning to advance autonomous space exploration missions 😎🚀

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  16. Now that is finished, this was one of my reasons to come to Vancouver 😎

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  17. Danilo Rezende giving the last talk of the day on Equivariant Hamiltonian Flows at

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  19. Eric Metodiev talking about metric methods with open collider data at

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  20. Miles Cranmer talking about learning symbolic physics with graph networks at

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  21. Griewank showed Finnish + Fortran code of Seppo Linnainmaa from 1970 that was the first known instance of reverse mode autodiff, the basis of backpropagation and modern deep learning

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