Links of interest

Dear all, I just wanted to share some links which could be of interest (and thx to Philip and August for the references here).

1) A school in Germany which could be of interest, see https://www.fz-juelich.de/en/ias/jsc/education/master-students/guest-student-programme

2) A hot software, if you love Pandas, PandasAI is magic, see  https://www.pandabi.ai/auth/sign-in. The API is free and it is just cool!

3) From Philip Hoel, this video is very very interesting, extracting physical laws from ML, see 

https://www.youtube.com/watch?v=fk2r8y5TfNY (Miles Cranmer - The next great scientific theory is hiding inside a neural network)

4) On combinatorial optimization and graph neural networks (text in Norwegian from August Femtehjell).

Ising formuleringer av NP-problemer designet for kvanteoptimering. Disse formuleringene egner seg godt som loss funksjoner for ? m?le hvor bra optimeringsproblemet er l?st, uten ? vite den sanne l?sningen:

https://arxiv.org/abs/1302.5843

 

Anvendelse av noen av disse formuleringene for graf nevrale nettverk (GNN):

https://www.nature.com/articles/s42256-022-00468-6

 

GNN kombinert med heurestikker for grafproblemer:

https://bora.uib.no/bora-xmlui/handle/11250/3043799

 

En pakke fra Google Deepmind for ? implementere GNN med JAX, som inneholder et par forskjellige eksempler:

https://github.com/google-deepmind/jraph/tree/master

 

Supervised trening av GNN for ? l?se Traveling Salesman, som tydeliggj?r noen av problemene med ? l?se NP problemer supervised:

https://medium.com/stanford-cs224w/tackling-the-traveling-salesman-problem-with-graph-neural-networks-b86ef4300c6e

 

 

If you come across interesting links you would like to share, do not hesitate to do so.

best wishes to all,

Morten

Publisert 24. apr. 2024 06:37 - Sist endret 24. apr. 2024 06:37