Thomas Kipf ✓

@tkipf · San Francisco, CA · joined 24 Jun 2009

Research at @GoogleDeepMind. Gemini Omni Team. Priors: GNNs, Structured World Models, Neural Assets, Veo Ingredients/References, Veo Robotics

29 722Followers

1 433Following

2 245Posts total

66.5KViews on collected posts

Derniers posts

Thomas Kipf ✓@tkipf14 Sep

Continual learning a.k.a. learning on the fly 945 views · 11 likes · 0 reposts · 1 replies Open on X →

Thomas Kipf ✓@tkipf12 Sep

We’re hiring! This is a rare opportunity to work with the folks that built Veo, Genie, and Gemini Omni — and advance the frontier of world models. More details below 👇 https://t.co/VI8KJDXLVv

49.8K views · 360 likes · 40 reposts · 15 replies Open on X →

Thomas Kipf ✓@tkipf4 Sep

Hope everyone in SF got up at 5:30am this morning to secure their NeurIPS ticket 12.6K views · 43 likes · 2 reposts · 5 replies Open on X →

Thomas Kipf ✓@tkipf2 Sep

it’s a good model (and still insanely fast) 3.2K views · 23 likes · 0 reposts · 0 replies Open on X →

Thomas Kipf ✓@tkipf4 May 2020

My PhD thesis "Deep Learning with Graph-Structured Representations" is now available for download: https://t.co/hyz0cnoewZ -- It covers a range of emerging topics in Deep Learning: from graph neural nets (and graph convolutions) to structure discovery (objects, relations, events)

0 views · 3.2K likes · 599 reposts · 42 replies Open on X →

Face aux comptes de taille comparable

4 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes7 898ce compte924médiane pour 10K–100K

Portée, %26.57%ce compte3.62%médiane pour 10K–100K

Engagement, %0.78%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	7 898	924	8.55×
Portée (vues ÷ abonnés)	26.57%	3.62%	7.34×
Taux d'engagement	0.78%	1.52%	0.51×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

3.2K2 Sep

12.6K4 Sep

49.8K12 Sep

94514 Sep

Last 4 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.72%2 Sep

0.40%4 Sep

0.83%12 Sep

1.27%14 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes67.9%437 in total

Reposts6.5%42 in total

Replies3.3%21 in total

Bookmarks22.4%144 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.