//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
Profile
Loading...









Loading...
CNRS researcher at ENS
Gabriel Peyré
Who cares about IA crushing maths when you can normalize kernels and have fun!
21d
Gabriel Peyré
L'IA générative face au concours d'entrée à l'École normale supérieure blogs.mediapart.fr/david-monnia...
29d
Thanks to LLMs, I think the exponent for the (refutal) of Erdos unit distance conjecture will be more famous than omega (the exponent for matrix multiplication)!
It seems that analysts are not lagging behind ... www.scottnarmstrong.com/2026/04/form...
21d
2mo
It is a comparison between - MMD: a kernel (2017) arxiv.org/abs/1801.01401 - Drifting: a stochastic kernel (2026) arxiv.org/abs/2602.04770
21d
Gabriel Peyré
Gabriel Peyré
David Monniaux
Gabriel Peyré
Drifting vs kernel (un-normalized) flows (yes, I know I love Gaussians). Stochastic matrices (and Sinkhorn divergences) are back in business :)
21d