ENTITY
probabilistic scientific machine learning
probabilistic scientific machine learning
PulseAugur coverage of probabilistic scientific machine learning — every cluster mentioning probabilistic scientific machine learning across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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New framework enhances neural network reconstruction of random fields
Researchers have introduced a new local Sinkhorn divergence framework designed for training stochastic neural networks (SNNs) to reconstruct multidimensional random fields. This framework utilizes debiased Sinkhorn dive…
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New framework uses local Sinkhorn divergence for random field reconstruction
Researchers have introduced a new framework utilizing local Sinkhorn divergence for reconstructing conditional distributions in multidimensional random fields. This approach enables the training of stochastic neural net…