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Flatiron Internal Conference: Flatiron-wide Algorithms and Mathematics

October 30, 2019 to November 1, 2019
Ingrid Daubechies Auditorium
America/New_York timezone

Marian Jakubiak

Session

Deep Learning Short Talks

Oct 31, 2019, 4:00 PM
2nd Floor (Ingrid Daubechies Auditorium)

2nd Floor

Ingrid Daubechies Auditorium

162 5th avenue, 2nd floor, New York NY, 10010

Presentation materials

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  1. 24. Uncertainty Estimation with Neural Networks
    Laurence Levasseur (CCA / U. de Montreal)
    10/31/19, 4:00 PM
  2. 22. Deep Generative Modeling for Statistical and Quantum Physics
    Giuseppe Carleo (CCQ)
    10/31/19, 4:25 PM
  3. 23. Biological neural network algorithms
    Mitya Chklovskii (CCB)
    10/31/19, 4:50 PM

    Although traditional artificial neural networks were inspired by the brain they resemble biological neural networks only superficially. Successful machine learning algorithms like backpropagation violate fundamental biophysical observations suggesting that the brain employs other algorithms to analyze high-dimensional datasets streamed by our sensory organs. We have been developing...

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