27 citations · 35 across the 9 of their papers we have counts for
4 papers · 1 filter
A Partially Supervised Latent-Space Variational Autoencoder for Generating Neutron Star Equations of State
Tianqi Zhao, Fanglida Yan, Alex Ross +1
We develop a partially supervised latent-space variational autoencoder (PSL-VAE) framework to reconstruct and generate neutron star (NS) equations of state (EOS). The PSL-VAE consi…
A Very Big Video Reasoning Suite
Maijunxian Wang, Ruisi Wang, Juyi Lin +53
Rapid progress in video models has largely focused on visual quality, leaving their reasoning capabilities underexplored. Video reasoning grounds intelligence in spatiotemporally c…
Data-Driven Generation of Neutron Star Equations of State Using Variational Autoencoders
Alex Ross, Tianqi Zhao, Sanjay Reddy
We develop a machine learning model based on a structured variational autoencoder (VAE) framework to reconstruct and generate neutron star (NS) equations of state (EOS). The VAE co…
A New Bayesian Framework with Mass-Radius-Space Priors to Constrain the Neutron Star Equation of State
Boyang Sun, Tianqi Zhao, James M. Lattimer
We propose a new Bayesian framework to infer the neutron star equation of state (EOS) from mass and radius observations and neutron matter theory by defining priors that directly p…