vervez

5 ms·

1.
by vervez 3y ago
There's also recent Bayesian Optimal Experimental Design methods that allow you to directly design experiments using gradient ascent. Not sure how it compares with BayesOpt on your problem, though.
2.
by vervez 3y ago
github copilot won't pay for itself.
3.
by vervez 3y ago
Their paper is more for the case of "we can't gather more data, so what to do?" but your solution is in line with optimal experimental design and choosing a utility function to distinguish between models using as little data
4.
by vervez 3y ago
Here's a good recent paper that looks at this problem and provides remedies in a Bayesian manner. https://arxiv.org/abs/2202.11678
5.
by vervez 3y ago
min{d(problem)/d(theta)} is essentially what LLMs are doing with a prompt. Every session that a chatgpt user has leads to either a resolution or not, which is the loss function given the prompt used to reach that point. It's getti
6.
by vervez 4y ago
Thanks for sharing and i'm happy to be your friend :)
7.
by vervez 4y ago
I see your point and agree it can be frustrating if DEI initiatives are used as a political tool or blindly without considering the pitfalls of a naive implementation.
8.
by vervez 4y ago
Indeed, I didn't cite any sources but I'm fairly sure there's literature studying this phenomenon. I agree that DEI when used as a political tool is a distraction for a company.
9.
by vervez 4y ago
I think many of the things you mentioned w.r.t. diversity is actually forward-thinking and potentially yields more returns later. If there's a brilliant swe that feels uncomfortable at a company because of how they name their branches,
10.
by vervez 4y ago
Equivariance is growing in popularity in machine learning, so these tricks will be helpful if one wants to study, or publish, in that area (I'm thinking about it). I'd recommend for any ML-related folks to look into this area and
11.
by vervez 4y ago
So you `pip install`ed them at a new company? I'll see myself out.
12.
by vervez 4y ago
Here's a short (unscientific) article (that kinda links to scinetific articles) about the link between lactic acid buildup and its relation in the brain. Sounds like exercise generates a natural nootropic. https://www.outsid
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by vervez 4y ago
Very cool. Can you comment on how this compares with tensorflow similarity? https://blog.tensorflow.org/2021/09/introducing-tensorflow-s...
14.
by vervez 4y ago
Couldn't read the article but yea, if it's a small molecule, most likely it's inhibiting some protein specific to cancerous cells. In this case, it sounds like it's blocking some protein that blocks human cells' inn
15.
by vervez 5y ago
Briefly, no. Why: they're most likely not training your average ML models on this dataset. Instead, they are likely taking a model of some physics and seeing how it performs in these simulations. You can think of this as a form of caus
16.
by vervez 5y ago
That's a strategy but there are issues with immune rejection since that's a xenograft. I think there are some products based off of this concept for other areas (skin grafts) after removing all xeno-cells from the tissue, but arti
17.
by vervez 5y ago
Bioengineer here able to chime in with niche expertise. Cartilage is and has been a holy grail in biomedical engineering but is very difficult to grow and transplant. There have been some successful neo-cartilage projects but integrating th
18.
by vervez 6y ago
The way I've seen startups make it work is to save part of the indirect for the worst-case scenario of no bridge funding for the 3-6 month period. If you are able to get into an accelerator that takes a small cut and aligns with your a
19.
by vervez 6y ago
I'd be interested in seeing citations for the known death valley. This is the second time I've heard this anecdote but have never seen the evidence.
20.
by vervez 6y ago
With hard science ventures that sometimes have a hard time findng the 'killer app' for the technology, I think the experience and learning from ping ponging around is a feature. Yes, startups need to plan for the long and uncertai
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by vervez 6y ago
SBIR funding is critical for hard science ventures early on. It's also a good indicator to future investors of potential hard science projects that a panel of experts in the area has reviewed and approved government funding for the ide
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by vervez 6y ago
I'm not an economist but this also seems like an indirect, peer to peer, way to establish 'credit' of an individual, rather than relying on centralized institutions with dubious security practices, like Equifax. Is this obvio
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by vervez 6y ago
Is Morgan Freeman the most used celebrity?
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by vervez 6y ago
This could work out pretty well. I remember reading somewhere (can't find the article) that Brian Eno works with artists this way as a producer, creating artificial constraints to expand their creativity. Would be interesting to see ho
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by vervez 6y ago
Another possibility: the bacteria could be engineered to switch to a different metabolic mechansim, like the use of the lac operon to digest lactose instead of glucose whenever there's a scarcity of glucose. Although this envisages sta
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by vervez 7y ago
You're not wrong, I'm just saying they're synonymous. https://www.hsmagnets.com/blog/halbach-array/
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by vervez 7y ago
Halbach array AKA fridge magnet.
28.
by vervez 7y ago
Scapegoat?
29.
by vervez 7y ago
Maybe because the lifetime of the computer will be shorter, hence, closer to the next sale?
30.
by vervez 8y ago
Excellent post about potential flaws of your typical linear regression model and how to address with causal methods. As a self-taught practitioner, these posts are priceless in letting me know what I don't know...

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