Dataset Groups Activity Stream Spacetime Autoencoders Using Local Causal States Local causal states are latent representations that capture or- ganized pattern and structure in complex spatiotemporal systems. BibTex: @dataset{Adam_Rupe_and_James_P_Crutchfield_2025, abstract = {Local causal states are latent representations that capture or- ganized pattern and structure in complex spatiotemporal systems.}, author = {Adam Rupe and James P. Crutchfield}, doi = {10.57702/sgw4tzfe}, institution = {No Organization}, keyword = {'dimensionality-reduction', 'generative modeling', 'local causal states', 'spacetime autoencoders'}, month = {jan}, publisher = {TIB}, title = {Spacetime Autoencoders Using Local Causal States}, url = {https://service.tib.eu/ldmservice/dataset/spacetime-autoencoders-using-local-causal-states}, year = {2025} }
