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TextureVAE : Learning Interpretable Representations of Material Microstructures Using VAE by Avadhut
MLPS - Combining AI and ML with Physics Sciences
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Interpretable Embeddings from Molecular Simulations using Gaussian Mixture Variational Autoencoders
ICTP Condensed Matter and Statistical Physics
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Continuous Representation Of Molecules using Graph Variational Autoencoder by Mohammadamin Tavakoli
MLPS - Combining AI and ML with Physics Sciences
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Recitation 10 | Representational Learning and Variational AutoEncoder
Carnegie Mellon University Deep Learning
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Modeling and Generating Variational Autoencoders using EmbeddedMontiArcDL
RWTH-Aachen - Lehrstuhl Software Engineering
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CMI Webinar: Machine Learning for Microstructure Modeling: A Data Driven Pathway
Critical Materials Innovation Hub
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1:42:48
Lecture 21: Variational Autoencoders (Part 2)
Carnegie Mellon University Deep Learning
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23:45