Viewing profile — brosco

One reason is that it would be like hanging a picture using a sledgehammer. If you're just studying various ways of unwrapping a sphere, the (very deep) theory of manifolds is not …

Good point! I used to be guilty of this myself, so now I'm pretty sensitive about other people doing it. I am now one of the more senior students in an academic research group, and…

I'm not saying it's a learning method. And I don't see how anyone could mistake this for science, so why would it be pseudoscience? It's not really about effort either. It's just a…

I have a tip for following lectures (or any technical talk, really) that I've been meaning to write about for a while. As you follow along with the speaker, try to predict what the…

One of OpenAI's founding team members developed Adam [0] well before it was flashy and profitable. It's not like nobody is out there trying to develop new algorithms. The reality i…

There is indeed a lot of crossover, and a lot of neural networks can be written in a state space form. The optimal control problem should be equivalent to training the weights, as …

Very cool. Analysis I was the first "real" math textbook that I (an engineer, not a mathematician) felt like I could completely follow and work through, after a few attempts to get…

Have you heard of JIT libraries like numba ( https://github.com/numba/numba )? It doesn't work for all python code, but can be helpful for the type of function you gave as an examp…

Compared to Matlab (and to some extent Julia), my complaints about numpy are summed up in these two paragraphs: > Some functions have axes arguments. Some have different versions w…

This looks great! I've been needing something like this for a while, for a project which is quite compute-heavy and uses lots of threads and recursion. I've been using valgrind to …

That's a good observation, and it is indeed true for many Markov chains. But your counterexample of the identity matrix is not quite right; every vector is an eigenvector of the id…

It's absolutely being explored. There is a lot of active research into using ML to learn solutions of PDEs (Navier-Stokes in this case). It's not my field so I don't know much abou…

If you're interested to learn more about aerodynamics I would highly suggest learning a bit of classical aerodynamics. It will not be software oriented, since most of the theory de…

Thanks for clarifying the motivation, that makes a lot of sense.

I guess this will probably come up in the reviews but the presentation of the Kalman filter is lacking. I know it's not the point of the paper, but getting these details wrong in a…

What? If you start light like Wendler recommends, the program is completely manageable. In fact, most people I know think there is too little training volume at first. I used it fo…

I've had my Framework 12 over a year now, so maybe I can give some perspective. I had a lot of similar issues (mostly with wifi) running Fedora when I first got it. I also felt lik…

More specifically, using mixed integer linear programming. I've never seen an MILP used this way, to characterize the entire feasible set (or "solution pool"). Is this one of the f…

My favorite of the year was Anna Karenina. If you like Brothers Karamazov it would be right up your alley.

In addition to Boyd and Vandenberghe, I like "Lectures on Modern Convex Optimization" by Ben-Tal and Nemirovski. Particularly the section comparing linear and conic optimization pr…

When applied to a linear system with Gaussian noise, the particle filter will (approximately) recover the solution of the Kalman filter. So yes, they solve different problems, but …