xcorr: AI & neuro

xcorr: AI & neuro

by Patrick Mineault

  • Good Research Code Handbook
  • Substack
  • Aboutxcorr is the blog of Patrick J. Mineault.
  • How to write a thesis in a month

    I just finished the initial submission of my PhD thesis, which I started writing on Jan. 7th. It was a tight fit; although it’s based on 3 published manuscripts, it still required writing a broad intro and conclusion (about 16k new words total) plus a lot of reformatting to make it into a cohesive whole.

    Read more

    February 12, 2014
  • A solution for bad teaching

    Excellent article over at the NY Times on the drawbacks of having researchers in teaching positions. There’s a lot of research showing that the relationship between research ability and teaching ability is very close to 0. So why are we making researchers teach? Shouldn’t teachers teach and researchers research? The result, then, is that more

    Read more

    February 7, 2014
  • Postdoc positions at Columbia in statistical neuro and machine learning

    Just got an email from Dr. Paninski. There are two postdoc positions available at the new Grossman center in statistical neuroscience and machine learning. This is an amazing opportunity if you’re looking for a theory-oriented researcher. Liam’s recent research output is impressive, he’s super smart, a very nice guy, and he has a kick-ass beard.

    Read more

    January 31, 2014
  • Theano: numerical computation in Python

    Theano is a very interesting numeric library for Python that I covered briefly a few years ago. Coming from the machine learning group at Université de Montréal – i.e. Yoshua Bengio et al. – it is well adapted to the kinds of numerical tasks that frequently occur in machine learning problems, in particular deep neural

    Read more

    January 26, 2014
  • Adagrad – eliminating learning rates in stochastic gradient descent

    Earlier, I discussed how I had no luck using second-order optimization methods on a convolutional neural net fitting problem, and some of the reasons why stochastic gradient descent works well on this class of problems. Stochastic gradient descent is not a plug-and-play optimization algorithm; it requires messing around with the step size hyperparameter, forcing you

    Read more

    January 23, 2014
  • Workshop on statistical challenges in neuroscience

    My old buddy Simon Barthelmé as well as Nicolas Chopin and Adam Johansen are organizing a 3-day workshop in Warwick, UK in September on statistical challenges in neuroscience. Some of the invited speakers include J.D. Victor, Robert Kass and Aapo Hyvärinen. Great chance to discuss and present your latest methods-heavy research. Here’s the pitch: Workshop

    Read more

    January 22, 2014
←Previous Page
1 … 9 10 11 12 13 … 40
Next Page→

Blog at WordPress.com.

 

Loading Comments...
 

    • Subscribe Subscribed
      • xcorr: AI & neuro
      • Join 527 other subscribers
      • Already have a WordPress.com account? Log in now.
      • xcorr: AI & neuro
      • Subscribe Subscribed
      • Sign up
      • Log in
      • Report this content
      • View site in Reader
      • Manage subscriptions
      • Collapse this bar