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LolWolf
searching PlanetScale…
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25 ms
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211.
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LolWolf
7y ago
> Forecasting solutions to a differential equation is hard, especially when there are infinitely many solutions. Not sure what you mean by infinitely many solutions, but this is not true in general. A silly example is y'(t) = Ct, wh
212.
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LolWolf
7y ago
The problem is just too ill-defined to fit directly with a logistic model or really any general-purpose model (such as gbm, etc). You need better priors, either in the form of good, specified dynamics, or in other terms. You could do a regu
213.
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LolWolf
7y ago
Such as? "Computational processes" ≈ "arbitrarily approximable by a classical computer," and QM absolutely fits in there: I just solve Schrodinger's equation for the Hamiltonian you care about to whatever precision
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LolWolf
7y ago
Yeah I can spot my blog as the only Pelican user as well, oops.
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LolWolf
7y ago
Agreed, whenever you divulge any info, you're always losing bits of randomness (obviously, more or less depending on how good the protocol is!). In particular, given an adversary who has several points (receiving these codes) and knows
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LolWolf
7y ago
Oh yeah, it’s a killer I’m not going to lie. I have the same problem with some classes here (though I haven’t taken one in years) and it’s quite frustrating since students are forced to pay for mediocre software in order to essentially do w
217.
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LolWolf
7y ago
It really depends heavily on the engineering field. I do work in optical/physical engineering (photonics, nonlinear optics, quantum computing) and essentially operations research (optimization theory) and almost everything we use is Py
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LolWolf
7y ago
Imo, Julia should’ve been the choice; I have never heard a single researcher use Swift for anything other than iOS coding (I certainly never have). But we will see how this plays out, I guess.
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LolWolf
7y ago
I’d say this is very much on purpose (I worked there for two summers, also with one of the people in this thread). DESRES is very, very particular about the papers it puts out, so, while there is an incredible amount of great science with b
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LolWolf
7y ago
Thanks! Certainly will do ;)
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LolWolf
7y ago
https://guille.site A blog on physics, math, stats, optimization, ml, etc. Mostly a combination of my PhD research topics and thoughts that aren’t yet coherent enough to publish. Posting this here as I’ve had several posts remai
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LolWolf
7y ago
Definitely start with Khan academy for pretty much everything up to calculus (or even including it). Then Linear algebra—as usual, I highly recommend Boyd’s text: https://web.stanford.edu/~boyd/vmls/ as it’s very
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Group Testing
(en.wikipedia.org)
1 points
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LolWolf
7y ago
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0 comments
224.
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LolWolf
7y ago
Thanks! > If something seems fake to me, but I am not sure if _you_ believe it is fake or not (and vice versa), we both might pretend something is real for the sake of not offending one another. Yeah, I guess this is why I was referring
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LolWolf
7y ago
Upvoted due to the interesting story, but the point is conceptually unclear (at least to me, but I'm quite slow) how would this improve my cognitive toolkit? I understand the (one) example presented apart from wrestling, but it is no
226.
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LolWolf
7y ago
Huh, not sure why Stephen Boyd is not included in the Stanford list, but John Duchi is (if you’re reading this John, I’m only a little sorry! ;). He’s on the top 10 highest citation count of all Stanford professors behind essentially Hastie
227.
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LolWolf
7y ago
Modern control theory (not counting RL, which is rarely, if ever, used on live controllers) is essentially two camps: PID with tuning and MPC (model predictive control). There is some optimal control theory not in either of these camps, but
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LolWolf
7y ago
Thanks, but the article I was looking for was (I think) published well before these claims were being made.
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LolWolf
7y ago
Thanks for the link! I'm afraid I can't find the article I was looking for in that thread (I also don't recall reading the thread or seeing that post, so I don't think it's it). Thanks again, though!
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Ask HN: Can't find HN article on gain-of-function research
4 points
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LolWolf
7y ago
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6 comments
231.
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LolWolf
7y ago
> I don't see the sense in this. [...] We could quibble about whether it's computer science of software engineering. I agree, I'm not sure why this is the case either, just my idea as to why it may not be a requirement. (S
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LolWolf
7y ago
> Infectiousness and incubation period tend to be in tension with each other, many routes for virus shedding are symptoms (runny nose, cough, etc). Yeah, I agree, but I think this is somewhat orthogonal to my point—gain-of-function[0] st
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LolWolf
7y ago
Why? I agree that in the paper that Altman is referring to [0] H5N1 did appear to decrease in lethality after becoming airborne. The paper does not mention its incubation period. Do you have references for why a combination of these is not
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LolWolf
7y ago
> To mirror what some others are saying here, students should also be taught the realities of cache behaviour, SIMD-friendliness, branch prediction, multi-threaded programming, real-time constraints, hardware acceleration, etc. They are
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LolWolf
7y ago
Thanks! I'll go take a look at them :)
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LolWolf
7y ago
Sounds awesome! Thank you for the recommendations and the great game!
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LolWolf
7y ago
Wohoo! That was a ton of fun! (Even though I should've been writing...) That was great, does anyone have any similar recommendations? I've done paperclip maximizer, but that was more of a clicker than anything else. But something
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LolWolf
7y ago
Yeah, Zotero w/ Better BibTeX is what I use for all of my papers/bibliography. It also keeps .bib files updated as you add stuff to the bib database. This lets you write your paper and add references to the database without worryi
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LolWolf
7y ago
Yes, would highly recommend the book! Our lab does plenty of work with optimization theory and linear algebra, but his approach is very practical :) It's a book that, when read from front to back along with a good number of the exerc
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LolWolf
7y ago
It's incredible seeing this on hn. For context, while the FoHo is sometimes good for very, very breaking and recent stories, it's a little hard to overdo the niche it fits in Stanford culture: it's pretty much the main and on
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