LolWolf

31 ms·

271.
by LolWolf 7y ago
EDIT: This is totally wrong. I haven't had my morning coffee yet. H_n - H_(cn) ≈ constant, not diverging (for 0 < c ≤ 1). :) The problem is that all of these little errors add up to give you a logarithmic slowdown. In particular, th
272.
by LolWolf 7y ago
Ooh, this feels like it gets close to the solution! It's not quite there as stated, though, since this algorithm requires O(k^2) time (where k is the number of elements to be randomly drawn) as you have to insert items into specific in
273.
by LolWolf 7y ago
NOTE: This comment I wrote is totally wrong. I haven't had my morning coffee yet. H_n - H_(cn) ≈ constant, not diverging (for 0 < c ≤ 1). :) Yeah, but the k ~ n/2 case (in which inverse selection and normal selection have the s
274.
by LolWolf 7y ago
Probably the hardest things are the space and time requirements. If you relax e.g. the O(k) time requirement to O(k log k), the problem essentially becomes trivial.[1] More generally, though, what solution are you thinking of? (The problem,
275.
by LolWolf 7y ago
Where did you camp at >26k feet? I was pretty wrecked “sleeping” at 13k feet—mostly tossed and turned the whole night—and then climbing to 15k. Can’t imagine sleeping at 26k!
276.
Rinderpest(en.wikipedia.org)
1 points by LolWolf 7y ago|0 comments
277.
by LolWolf 7y ago
Just adding to this: TeXPad is what I use on both my laptop (when working on a big screen, though I mostly use Vim when working from battery) and my iPad mini 5 (+ a little bluetooth keyboard) on flights and before meetings. Honestly, using
278.
Bill Gates, Neo, Gigafund Backing Luminous in Photonics Supercomputer Moonshot(techcrunch.com)
1 points by LolWolf 7y ago|0 comments
279.
by LolWolf 7y ago
Making one of these things nice (even with a good LCD!) should really not cost much. Honestly wondering if it's worth just going into the market for making "dumb" home stuff that has a slick UI that people want. The only prob
280.
Fast Reciprocal Collision Avoidance Under Measurement Uncertainty(arxiv.org)
1 points by LolWolf 7y ago|0 comments
281.
by LolWolf 7y ago
Look, the point here is to be as open as it is to be practical . In my lab, we attempt to use as much open source software and parts as is possible without literally spending years waiting for RISC-V to become mainstream along with fully
282.
by LolWolf 7y ago
Sure. Neither is the hardware, nor is Intel’s or the Motherboard’s, etc. Would it be ideal? Sure. Is it possible to have every level be completely open source? Maybe, but you’d struggle. I still believe the point is clear, though.
283.
by LolWolf 7y ago
I’ll add to the list: mathematical modelling, optimization, control, essentially all machine learning, etc. Except for perhaps optimizers (which some of the best are closed source, e.g. Mosek), the entire rest of the stack is open source.
284.
by LolWolf 7y ago
RCs are a pretty common name, even among academics, at least in neurobiology (though it’s for sure recognized as “speaking in dialect/slang” as some would say... e.g., not everyone would immediately know what you’re saying). I do agr
285.
by LolWolf 7y ago
This is awesome! I’ll be trying it out for the next few days/potentially weeks. Looks great, runs great. Fantastic job, OP! :)
286.
by LolWolf 7y ago
What tools? I think the biggest thing is a reflow oven, but, honestly, I've soldered using a cheap, used toaster oven from Goodwill + an oven thermometer. Worked wonders! The 3D printer might have been the biggest offender, to be fair,
287.
by LolWolf 8y ago
Indeed! That’s for sure: it’s probably not hard to extract a bound on the magnitude of a part of the spectrum from this analysis.
288.
by LolWolf 8y ago
If you observe a very wide band of light (e.g., EM radiation) and there is nothing received from those spots, then, for all intents and purposes, the region of that image is black. Now, if you're asking if, perhaps, the region isn&#x27
289.
by LolWolf 8y ago
As far as I know K. Bouman [0] was the scientist leading the charge on the image processing/reconstruction. A few of her later papers probably have hints [1, 2] about how this is done, but I haven't seen the official release. [0]
290.
by LolWolf 8y ago
I don't have access to server logs as this site is hosted on Neocities.
291.
Ask HN: Privacy-focused web analytics platform for blog/small site?
1 points by LolWolf 8y ago|4 comments
292.
by LolWolf 8y ago
It's unclear. Depending on the fabrication constraints/robustness constraints they added to the inverse design procedure (which they don't really mention in the paper), it could be either extremely robust or extremely sensiti
293.
by LolWolf 8y ago
Sure! If you already have a good math background, essentially the only thing left is to do a "bit" of numerical computing. Steven Johnson at MIT has a good course starting this (with Julia! Which is awesome and I highly recommend)
294.
by LolWolf 8y ago
Sure! I think it's quite doable to do theoretical work. There's plenty of solvers available (at least somewhat open source ones) that you can use to mess around with 2D and 3D structures (though, of course, larger structures will
295.
by LolWolf 8y ago
Hey! I currently work on inverse design at the Nanoscale and Quantum Photonics lab [0], which is the approach the authors used in this paper. If you have any questions (about the specifics of the paper, or, more generally, about the process
296.
by LolWolf 8y ago
Hmm... I'm not sure I fully agree. Fundamentally, an ill-posed problem maps a large input space to a very small output space, which means that inverting it is impossible under any noise (in a very similar way to, say, the Nyquist-Shann
297.
by LolWolf 8y ago
Sorry, I should’ve been more clear: when I said “precision” I meant any of several things related to floating point arithmetic including, but not limited to: actual numerical precision of operations, non-associativity of operations, overflo
298.
by LolWolf 8y ago
If you're reaching these values then it's extremely likely that either: (a) You're doing something wrong (usually, not standardizing your data, etc.) which means that you're not thinking about the fact that computers hav
299.
by LolWolf 8y ago
I am also extremely curious! (I did not have this password, but would love to know why it was so common?)
300.
Approximating CNNs in ImageNet performance with a bag-of-features model [pdf](openreview.net)
1 points by LolWolf 8y ago|0 comments

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