interests: machine learning, ai4science, algorithms, coding
member of technical staff @ https://cusp.ai
past @ MSR, DeepMind, MPI-IS
home @ Heimbach (Gilserberg), Berlin, Europe
born @ 353 ppm
block toxicity
he/him
Come help us find new ways to understand and drug intrinsically disordered proteins (IDPs), it's a very interesting and important problem!
Link in the reply ↓
Come help us find new ways to understand and drug intrinsically disordered proteins (IDPs), it's a very interesting and important problem!
Link in the reply ↓
If you want to meet/catch up on
#CuspAI
#AI4Science #MachineLearning and/or ML for #materials / #simulation ping me.!
DMs are open :)
My lovely colleagues Sina, @sindylowe.bsky.social and Govert are around too!
If you want to meet/catch up on
#CuspAI
#AI4Science #MachineLearning and/or ML for #materials / #simulation ping me.!
DMs are open :)
My lovely colleagues Sina, @sindylowe.bsky.social and Govert are around too!
I did not know Felix Hill and I am sorry for those who did.
This story is perhaps a reminder for students, postdocs, founders and researchers to take care of their well being.
medium.com/@felixhill/2...
I did not know Felix Hill and I am sorry for those who did.
This story is perhaps a reminder for students, postdocs, founders and researchers to take care of their well being.
medium.com/@felixhill/2...
Not much content yet... Let's see if I stick to it: argmin.xyz.
Not much content yet... Let's see if I stick to it: argmin.xyz.
New ARC challenge? :D
PS: credits go to family Lehmann from Kassel who invent those ridiculously hard Xmas puzzles every year!
New ARC challenge? :D
PS: credits go to family Lehmann from Kassel who invent those ridiculously hard Xmas puzzles every year!
The amount of throughput you can get on a single cheap device is ridiculous! And you can implement so much crazy stuff with just that. ❤️
The amount of throughput you can get on a single cheap device is ridiculous! And you can implement so much crazy stuff with just that. ❤️
tl;dr: We define an interpolating density by its sampling process, and learn the corresponding equilibrium potential with score matching. arxiv.org/abs/2410.15815
with @francois.fleuret.org and @tbereau.bsky.social
(1/n)
tl;dr: We define an interpolating density by its sampling process, and learn the corresponding equilibrium potential with score matching. arxiv.org/abs/2410.15815
with @francois.fleuret.org and @tbereau.bsky.social
(1/n)
www.biorxiv.org/content/10.1...
(tabular deep learning; in-context learning; SSL; AI in EU; politics; where to get good coffee/food; your favourite Parks and Rec moment; …)
(tabular deep learning; in-context learning; SSL; AI in EU; politics; where to get good coffee/food; your favourite Parks and Rec moment; …)
This seems to be a bug - whenever I reset it, it's fine for another bunch of days.
Anyone else experiencing this? If so, what's the cause/fix?
#bluesky @jay.bsky.team
This seems to be a bug - whenever I reset it, it's fine for another bunch of days.
Anyone else experiencing this? If so, what's the cause/fix?
#bluesky @jay.bsky.team
One thing that's clear: different diffusion models trained on similar datasets tend to recover similar mappings. If these are generally not OT, in what sense are they optimal instead?
One thing that's clear: different diffusion models trained on similar datasets tend to recover similar mappings. If these are generally not OT, in what sense are they optimal instead?