PIGPVAE adds a Gaussian-process latent discrepancy term to a physics-decoder VAE, improving synthetic indoor temperature time series quality and out-of-distribution generation on a small HVAC dataset.
Generative adversarial nets.Advances in neural informa- tion processing systems, 27, 2014
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
PIGPVAE adds a Gaussian-process latent discrepancy term to a physics-decoder VAE, improving synthetic indoor temperature time series quality and out-of-distribution generation on a small HVAC dataset.