Viewing profile — vervez
vervez
HN member- Joined
- Mon, Jan 22, 2018, 1:31 AM UTC
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About vervez
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Recent public activity
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Comment #37350824
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…
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Comment #36139832
github copilot won't pay for itself.
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Comment #36114922
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 dis…
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Comment #36105844
Here's a good recent paper that looks at this problem and provides remedies in a Bayesian manner. https://arxiv.org/abs/2202.11678
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Comment #35629930
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 giv…
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Comment #34535031
Thanks for sharing and i'm happy to be your friend :)
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Comment #34467729
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.
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Comment #34467676
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.
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Comment #34455662
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 uncomfortabl…
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Comment #33957250
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 fo…
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Comment #33584355
So you `pip install`ed them at a new company? I'll see myself out.
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Comment #33574006
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 gener…
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Comment #32083671
Very cool. Can you comment on how this compares with tensorflow similarity? https://blog.tensorflow.org/2021/09/introducing-tensorflow-s...
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Comment #31631540
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 p…
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Comment #29864324
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 the…
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Comment #29405096
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…
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Comment #29400488
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 be…
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Comment #24248748
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 ac…
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Comment #24223874
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.
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Comment #24223793
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. Ye…
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Comment #24217878
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 h…
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Comment #24123045
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 se…
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Comment #23491174
Is Morgan Freeman the most used celebrity?
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Comment #22737752
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 …