alexander bogatskiy - covariant neural networks for physics applications
Published 3 years ago • 110 plays • Length 4:57Download video MP4
Download video MP3
Similar videos
-
32:02
yali amit on biologically plausible neural networks for invariant visual recognition
-
1:01:16
risi kondor: "covariant neural network architectures"
-
2:49
the view from nowhere (2016–17)
-
10:50
theory of inverse-pinns
-
53:19
einstein's quantum riddle | full documentary | nova | pbs
-
29:58
symmetries in tensor networks—tensoroperations.jl tensorkit.jl | lukas devos | juliacon 2023
-
1:06:28
weaving together machine learning, theoretical physics, and neuroscience
-
9:36
7 differences between deep learning and machine learning | ai & data science tutorial
-
30:49
physics-informed neural networks for solving gray-scott systems | salvatore cuomo
-
1:05:44
ammi course "geometric deep learning" - lecture 8 (groups & homogeneous spaces) - taco cohen
-
1:03:11
tamids sciml lab seminars jia zhao 2021 09 08
-
16:01
1.14 - session panel: incorporating physics directly into the models
-
1:46:25
a. abanov: lecture iv
-
2:03:25
tamids sciml lab workshop on sciml with tensordiffeq - levi mcclenny and jian tao 2021 05 07
-
11:11
developing the galacticus dark matter and galaxy formation code
-
26:57
topology and physics - clay cordova with edward witten
-
28:42
physical symmetries embedded in neural networks - pavlos protopapas - 6/25/2019
-
49:05
andreas weichselbaum - non-abelian symmetries in tensor networks: the open source qspace tensor...
-
50:05
ml & physical world 2021: lecture 10 multifidelity emulation