daniel tubbenhauer - growth and tensor products - ipam at ucla
Published 6 months ago • 1.5K plays • Length 54:08Download video MP4
Download video MP3
Similar videos
-
49:57
elizaveta rebrova - low-rank tensor recovery from memory-efficient measurements - ipam at ucla
-
40:02
jeroen zuiddam - discreteness of asymptotic tensor ranks - ipam at ucla
-
52:45
kevin coulembier - symmetric tensor categories of moderate growth - ipam at ucla
-
55:19
adam topaz - the liquid tensor experiment - ipam at ucla
-
46:30
volker blum - large-scale electronic structure theory in fhi-aims and elsi - ipam at ucla
-
51:47
alessandra bernardi - defective tensor network varieties - ipam at ucla
-
9:30
the spring paradox
-
1:28:29
19. multiparticle states and tensor products (continued)
-
50:54
david bowler - large-scale and linear scaling dft: why we need it, and how we do it - ipam at ucla
-
47:59
sarah witherspoon - support varieties and the tensor product property - ipam at ucla
-
50:17
victor ostrik - growth in tensor powers - ipam at ucla
-
41:23
justin smith - the state of neural network interatomic potentials - ipam at ucla
-
52:27
noah snyder - the delannoy category - ipam at ucla
-
50:36
norbert schuch - tensor networks and the negative sign problem - ipam at ucla
-
43:53
feng pan - arbitrary tensor network algorithm: theory, methods and applications - ipam at ucla
-
52:09
cédric boutillier - minimal bipartite dimers and maximal riemann surfaces - ipam at ucla
-
52:58
bregje pauwels - tannakian formalism for stacks - ipam at ucla
-
42:56
kieron burke - elements of electronic structure calculations: hf and dft - ipam at ucla
-
37:58
julia brynildsen - the cost of brain state transitions - ipam at ucla