lukasz szpruch - mean-field neural odes, relaxed control and generalization errors
Published 3 years ago • 348 plays • Length 1:04:04Download video MP4
Download video MP3
Similar videos
-
1:05:00
konstantinos spiliopoulos - mean field limits of neural networks: typical behavior and fluctuations
-
1:07:43
neural sdes, deep learning and stochastic control
-
53:11
roberto i. oliveira - a mean-field theory for certain deep neural networks
-
54:02
neural ordinary differential equations | june 30 2020 | reem elmahdi data science intern
-
![neural odes (nodes) [physics informed machine learning]](https://i.ytimg.com/vi/nJphsM4obOk/mqdefault.jpg)
24:37
neural odes (nodes) [physics informed machine learning]
-
1:01:02
ccss meeting #58: an introduction to scientific modelling with neural odes
-
26:16
qianxiao li | a mean-field optimal control formulation of deep learning
-
9:30
mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
-
35:26
a mean-field theory of lazy training in two-layer neural nets: ...
-
49:56
mean-field theory of two-layers neural networks: dimension free bounds and example
-
3:31
icml2022: neural laplace
-
1:22:04
fau studon ag neural differential equations, control and machine learning
-
54:54
16. ode-ivp and numerical integration 4