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Michael Tetelman
Works at Invensense, Inc
Attended Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Lives in San Francisco Bay Area
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Michael Tetelman

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These just released videos are from a symposium to honor David MacKay who left us this past week: http://divf.eng.cam.ac.uk/djcms2016/
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Sorry to hear of his passing!! I met him at a maxEnt conference, and bought his book as a result of meeting him and that conference. 
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Michael Tetelman

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Neural Nets now can be used by millions of people daily - huge success of the new technology
 
Leaner. Faster. More robust.

Today, we’re happy to announce that we’ve launched improved neural network acoustic models for voice searches and commands in the Google app (on Android and iOS), and for dictation on Android devices. 

Using Connectionist Temporal Classification and sequence discriminative training techniques, these models are a special extension of recurrent neural networks that use much less computational resources, are more accurate, robust to noise, and faster to respond to voice search queries.

Check out the Google Research blog below to learn more. Happy (voice) searching!
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Michael Tetelman
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Videos of KDD tutorials are up at http://videolectures.net/kdd2014_newyork/

Check out tutorials on deep learning by Yoshua Bengio 
on scaling up deep learning as well as my tutorial on 
recent advances in deep learning at:
http://videolectures.net/kdd2014_salakhutdinov_deep_learning/

Code for training various models, including multimodal ones,
are publicly available at:
http://deeplearning.cs.toronto.edu/

Slides are also available at 
http://www.cs.toronto.edu/~rsalakhu/kdd.html
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Michael Tetelman

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Michael Tetelman

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Short version of Variational Stochastic Gradient Descent is available on openreview: http://beta.openreview.net/pdf?id=0YrnoNZ7PTGJ7gK5tNYY
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Michael Tetelman

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Great Learning Resource on Deep Learning
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Have him in circles
510 people
Alex Palmer's profile photo
Yun Chi's profile photo
Liang Guo's profile photo
Anthony Lee's profile photo
David Inbar's profile photo
Yinghai Lu's profile photo
Uwe Schmitt's profile photo
bagus maulana's profile photo
Anish Muttreja's profile photo
Work
Occupation
I am a scientist. I am working on Technology of Prediction, which basically means understanding what you already know in a way to make a good guess about what you do not know yet.
Skills
Developing and implementing algorithms based on Deep Learning with Neural Networks and Variational Bayes
Employment
  • Invensense, Inc
    Principal Speech Processing ASR Engineer, 2015 - present
    Developing Artificial Intelligence in Any Sense by Farming and Schooling Neural Nets: creating a NN framework that allows to learn from sensory data and produce an optimized runnable code for any chip without a human touch.
Places
Map of the places this user has livedMap of the places this user has livedMap of the places this user has lived
Currently
San Francisco Bay Area
Previously
I grew up far far away ( but not in Kansas)
Links
Story
Tagline
Life is a chain of accidents, but it is a most probable chain of accidents
Introduction
"Thoughts are invariants of spoken representations" - you realize that when you try to apply Group Theory to Artificial Intelligence.
I am working on advanced Machine Learning methods called Deep Learning with Infinite Feature Algebras and Continuous Learning - that is a continuous improvement of predictive models which has an interesting link to SVMs as a special limit of "perfect" models. This seems to be an universal approach to learn  structures and to model sources of any kind of data, continuously and without limits. 
Bragging rights
Developing Artificial Intelligence in Any Sense by Farming and Schooling Neural Nets: creating a NN framework that allows to learn from sensory data and produce an optimized runnable code for any chip without a human touch.
Education
  • Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
    PhD, Theoretical and Mathematical Physics, Nizhniy Novgorod State University, Russia, 1992
Basic Information
Gender
Male