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dbranes
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6 ms
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by
dbranes
6y ago
Nice to see Jared Kaplan branching out into ML. He did fundamental work on CFTs/bootstrap in physics.
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Cisco to Acquire ThousandEyes
(newsroom.cisco.com)
7 points
by
dbranes
6y ago
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0 comments
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by
dbranes
7y ago
No part of this comment answers my question.
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by
dbranes
7y ago
Can you state what's the mechanism that makes it fast? Is this a breakthrough in rendering optimizations or does it introduce smarter data structures? Or is it an accumulation of small optimizations everywhere?
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by
dbranes
7y ago
Cool, but this seems to contain very few illustrations.
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by
dbranes
7y ago
It looks like she wants to talk about symmetric monoidal categories, not just monoidal categories, for that’s where the calculus of string diagrams is actually useful. Tensor categories is another word for symmetric monoidal categories, i
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by
dbranes
8y ago
Genuinely tried reading the "examples" you wrote in this thread, can't make any sense out of it. Happy to discuss it if you clarify what you mean. Just to address your original comment in this thread, perhaps it's releva
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by
dbranes
8y ago
(the embedding is full & faithful)
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by
dbranes
8y ago
The category of sets embeds into the category of topological spaces as a full subcategory, the essential image of which are the discrete spaces. Hence the equivalence I claimed is a precise statement. Look up ring localization.
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by
dbranes
8y ago
As you observe one can't really recover any non-trivial number theoretic things by looking at integers with the discrete topology. The theory of discrete topological spaces is just the theory of sets. Instead you can look at things lik
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by
dbranes
8y ago
What a confusing name in an era where homotopy-theoretic methods in arithmetic geometry are flourishing. Looks Hatcher covers non of that and use "topology" to mean "geometrically motivated".
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Open translations in mathematics
(otim-project.com)
2 points
by
dbranes
8y ago
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by
dbranes
8y ago
Some context would be nice as this (very nice library) has been around for a while: was there a new release? What are we supposed to be looking for Here?
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by
dbranes
8y ago
Ugh, I'm cringing a little that they consider adjunctions 'advanced mathematics'. Adjunctions are ubiquitous even in elementary math. For example, in linear algebra whenever one writes down a matrix to represent a operator in
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by
dbranes
8y ago
Tangent: I like that the logo for the organization 'adjoint' resembles the notation for adjoint functors.
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by
dbranes
8y ago
Yes absolutely. Given a matrix as an array of numbers there's a number of natural ways to interpret it as a tensor. What are you uncomfortable about?
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by
dbranes
8y ago
Sorry this is just wrong. Maybe you’re trying to get at the “co/contravariant” properties of tensors, in which case your statement can be more clearly stated as, e.g., the space rank (2, 0), and rank (1,1) vectors, admit different inte
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by
dbranes
8y ago
Had to scroll down the page for a while before understanding the point of this: drag-and-drop data transformation pipelines that comes with app integrations at both ends. It’s a great idea!
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by
dbranes
8y ago
Not an answer but a general comment on learning languages: instead of setting your goal as “to learn as much of a languageas possible”, instead you can go for “I want to be able to do this class of things that will be made very easy once i
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by
dbranes
8y ago
As someone with a high energy theory background but has only read titles/headlines about this time crystal business, can you give a precise TL;DR on what a time crystal is?
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by
dbranes
8y ago
Love the idea - looks like a well-thought-out and much needed abstraction. The way I’d pitch it is that it allows one to create UI in a completely declarative and stateless manner.
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by
dbranes
8y ago
pretty sure that’s a windows thing, compare with the screenshot of current cheome in the article.
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by
dbranes
8y ago
To each their own, but I’d hate the firefox-style scrolling tabs UI suggested by the article. 1. I don’t want to be surprised to find some old tab hidden by the scroll. 2. Id like to be able to close tabs without first scrolling to it. 3. I
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by
dbranes
8y ago
This is excellent. Amazing (equation + picture)/text ratio. Complaint: you don't define your notion of "space". In chapter 1 it's some informal notion that you use to motivate the definition of a set (??), in 1.3 an
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by
dbranes
8y ago
Very cool. A question and a comment: - What about higher(>3)-rank tensors? - It's not clear to me what distinguishes your picture for a convolution layer from any other tensor of the same shape. Would be nice to visualize the filter
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by
dbranes
8y ago
For people wondering about the type of thing that the generator supports, there's this config file https://github.com/wonderunit/storyboarder/blob/f0a7cc75beb1...
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by
dbranes
8y ago
It's a neural network trained in an adversarial manner which generates things, so yes.
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by
dbranes
8y ago
Observation: an alternative way to accomplish the same thing (maybe with a slightly different workflow) is to just call tf-serving from go. See e.g. this gist https://gist.github.com/mauri870/1f953a183ee6c186e70a0a72e78
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by
dbranes
9y ago
You're right I miscounted.
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by
dbranes
9y ago
Here's a generalization that yields an infinite family of similar observations. Step 1. Take any "torus knot with n marked points": which for our purposes will mean homeomorphism classes of embeddings from a circle with n mar
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