wasserstein distance explained | data science fundamentals
Published 1 year ago • 7.8K plays • Length 3:20Download video MP4
Download video MP3
Similar videos
-
6:00
jensen-shannon distance explained | data science fundamentals
-
17:28
introduction to the wasserstein distance
-
10:55
estimation of smooth densities in wasserstein distance
-
3:24
hellinger distance explained | data science fundamentals
-
56:09
soheil kolouri - wasserstein embeddings in the deep learning era
-
7:40
gromov-wasserstein based optimal transport to align... - rebecca santorella - mlcsb - ismb 2020
-
46:06
approximate bayesian computation with the wasserstein distance
-
1:03:11
the frontiers of fundamental physics: nathan seiberg
-
45:38
data-driven model discovery: targeted use of deep neural networks for physics and engineering
-
21:25
every distance in data science (almost 100k subs!)
-
43:21
jonathan niles-weed (nyu/ias) - estimation of the wasserstein distance in the spiked transport model
-
29:59
wasserstein distance on graphs
-
39:33
section 4.4 part 1 - "wasserstein distance"
-
16:57
wasserstein distance: metric proof
-
34:40
wasserstein distance to independence models
-
6:03
baylearn 2021: poster a-06: intrinsic sliced wasserstein distances on manifolds and graphs
-
29:55
sampling from wasserstein barycenter
-
20:02
part 2: wasserstein metric
-
![the bottleneck distance [danish ali]](https://i.ytimg.com/vi/SaX2jKpNNSY/mqdefault.jpg)
10:12
the bottleneck distance [danish ali]
-
31:47
giacomo de palma: "the quantum wasserstein distance of order 1"