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Jascha Sohl-Dickstein

Personal website of Jascha Sohl-Dickstein.

http://www.sohldickstein.com/

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PAGE TITLE
Jascha Sohl-Dickstein | sohldickstein.com Reviews
<META>
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Personal website of Jascha Sohl-Dickstein.
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KEYWORDS
1 research projects
2 art projects
3 publications
4 code
5 jascha sohl dickstein
6 jaschasd@google com
7 profile
8 research interests
9 page
10 curriculum vitae
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Jascha Sohl-Dickstein | sohldickstein.com Reviews

https://sohldickstein.com

Personal website of Jascha Sohl-Dickstein.

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1

Art Projects — Jascha Sohl-Dickstein

http://www.sohldickstein.com/art

Machine learning, neuroscience, statistical physics, dynamical systems. I enjoy working on projects that mix art, engineering, science, and the occasional flame tornado. Here are some examples. And the Facebook group. Syzygryd is a multi-ton musical instrument played collaboratively by three people. More information (and gorgeous pictures) at. Http:/ www.syzygryd.com/. Stand in the middle of a ring of flame effects, and feel the heat as they pulse in time to your heartbeat! Check out the False Profit Labs.

2

Code — Jascha Sohl-Dickstein

http://www.sohldickstein.com/code

Machine learning, neuroscience, statistical physics, dynamical systems. Sum of Functions Optimizer (SFO) - An optimizer combining the benefits of quasi-Newton and stochastic gradient approaches. Python and MATLAB code implementing quasi-Newton minibatch optimizer and reproducing figures from paper. Sohl-Dickstein, Jascha, Ben Poole, and Surya Ganguli. "Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods.". Http:/ arxiv.org/abs/1311.2115. Minimum Probability Flow learnin...

3

Research Projects — Jascha Sohl-Dickstein

http://www.sohldickstein.com/projects

Machine learning, neuroscience, statistical physics, dynamical systems. This page was last updated March, 2015. The central 100 pixel by 100 pixel region in this image has been deleted and then inpainted using a diffusion process based probabilistic model of natural images. Defining probabilistic models using diffusion processes. The target distribution as the endpoint of a diffusion trajectory. This allows the target distribution to be exactly sampled from, easily evaluated, and more easily trained.

4

Publications — Jascha Sohl-Dickstein

http://www.sohldickstein.com/publications

Machine learning, neuroscience, statistical physics, dynamical systems. My publications are listed below in reverse chronological order. My Google Scholar page. May also be a useful resource. This page was last updated on March 13, 2015. J Sohl-Dickstein, E Weiss, N Maheswaranathan, S Ganguli. Deep Unsupervised Learning using Nonequilibrium Thermodynamics. J Sohl-Dickstein, CM Wang, BA Olshausen. Learning and inference in high dimensional Lie group models, and their application to natural movies. B Poole...

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News - mackelab@caesar

http://www.mackelab.org/blog/index.html

Deep Learning Summer School. From August 1st to 7th, Jan-Matthis is attending the deep learning summer school. In Montreal, organized by the Canadian Institute For Advanced Research. Today Poornima Ramesh joined our group for an internship, on a DAAD Rise Scholarship. Welcome on board Poornima! Granted us a Titan X GPU for faster training of deep neural networks for analyzing behavioural data. Many thanks to NVIDIA, as well to Jan-Matthis. For helping write the application. And awarded a scholarship.

mackelab.org mackelab.org

News - mackelab@caesar

http://www.mackelab.org/blog

Deep Learning Summer School. From August 1st to 7th, Jan-Matthis is attending the deep learning summer school. In Montreal, organized by the Canadian Institute For Advanced Research. Today Poornima Ramesh joined our group for an internship, on a DAAD Rise Scholarship. Welcome on board Poornima! Granted us a Titan X GPU for faster training of deep neural networks for analyzing behavioural data. Many thanks to NVIDIA, as well to Jan-Matthis. For helping write the application. And awarded a scholarship.

redwood.berkeley.edu redwood.berkeley.edu

Jascha Sohl-Dickstein - RedwoodCenter

http://redwood.berkeley.edu/wiki/Jascha_Sohl-Dickstein

My new website is at http:/ sohldickstein.com/. The information below is out of date. I am now a postdoc in Surya Ganguli's lab at Stanford, and working with the Khan Academy. A more complete update to follow soon. -Jascha (Aug 5, 2012). I am a graduate student in the Redwood Center for Theoretical Neuroscience. At the University of California, Berkeley. I am a member of Bruno Olshausen's. Lab, and the Biophysics Graduate Group. My email address is jascha@berkeley.edu. Minimum Probability Flow (MPF) -.

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Jascha Sohl-Dickstein

Machine learning, neuroscience, statistical physics, dynamical systems. I am a senior research scientist in the Brain group at Google. Prior to this position I was a visiting scholar in Surya Ganguli's lab. At Stanford University, and an academic resident at Khan Academy. I earned my PhD in 2012 in the Redwood Center for Theoretical Neuroscience. At UC Berkeley, in Bruno Olshausen's. Lab Prior to my PhD, I worked on Mars. My CV is available here. March 30, 2015).

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