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Found 4 papers, 1 papers with code
A Symbolic Representation of Human Posture for Interpretable Learning and Reasoning
Robots that interact with humans in a physical space or application need to think about the person's posture, which typically comes from visual sensors like cameras and infra-red.
A Group-Equivariant Autoencoder for Identifying Spontaneously Broken Symmetries
We use group theory to deduce which symmetries of the system remain intact in all phases, and then use this information to constrain the parameters of the GE-autoencoder such that the encoder learns an order parameter invariant to these ``never-broken'' symmetries.
Pairing correlations in the cuprates: a numerical study of the three-band Hubbard model
We study the three-band Hubbard model for the copper oxide plane of the high-temperature superconducting cuprates using determinant quantum Monte Carlo and the dynamical cluster approximation (DCA) and provide a comprehensive view of the pairing correlations in this model using these methods.
Superconductivity Strongly Correlated Electrons
Polaron and bipolaron tendencies in a semiclassical model for hole-doped bismuthates
We demonstrate the existence of a (bi)polaron correlations that persists in the model at high temperatures and for hole doping away from the bond-disproportionated insulating phase.
Strongly Correlated Electrons Superconductivity
