GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder
Summary
GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder is a scholarly article[1].
Key Facts
GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/gplasdi-gaussian-process-based-interpretable-latent-space-dynamics-identification-through-deep-autoencoder
MLA“GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gplasdi-gaussian-process-based-interpretable-latent-space-dynamics-identification-through-deep-autoencoder.
BibTeX@misc{4ortxyz_gplasdi-gaussian-process-based-interpretable-latent-space-dynamics-identification-through-deep-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/gplasdi-gaussian-process-based-interpretable-latent-space-dynamics-identification-through-deep-autoencoder}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder — https://4ort.xyz/entity/gplasdi-gaussian-process-based-interpretable-latent-space-dynamics-identification-through-deep-autoencoder (retrieved 2026-05-24)
