Hypercomplex neural networks: Exploring quaternion, octonion, and beyond in deep learning. [PDF]
Devadas RM +5 more
europepmc +1 more source
COVARIANCE LOSS, SZEMEREDI REGULARITY, AND DIFFERENTIAL PRIVACY. [PDF]
Boedihardjo M, Strohmer T, Vershynin R.
europepmc +1 more source
Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation. [PDF]
Jonnalagadda B, Becker S.
europepmc +1 more source
The 3d Mixed BF Lagrangian 1-Form: A Variational Formulation of Hitchin's Integrable System. [PDF]
Caudrelier V +3 more
europepmc +1 more source
Efficient Low-Scaling Calculation of THC-SOS-LR-CC2 and THC-SOS-ADC(2) Excitation Energies Through Density-Based Integral-Direct Tensor Hypercontraction. [PDF]
Sacchetta F +3 more
europepmc +1 more source
Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments. [PDF]
Hrachov M +3 more
europepmc +1 more source
Kinetic Theory with Casimir Invariants-Toward Understanding of Self-Organization by Topological Constraints. [PDF]
Yoshida Z.
europepmc +1 more source
Related searches:
Congruence kernels in Ockham algebras
Algebra universalis, 2017For an Ockham algebra \((\mathcal{L}; f)\), the authors consider the ideals \(I\) such that \(I=0/\upsilon\) for some congruence \(\upsilon\) on \((\mathcal{L}; f)\). These ideals are called \textit{congruence kernels} and the congruence \(\upsilon\) for which \(I=0/\upsilon\) is said to have kernel \(I\).
Blyth, T. S., Silva, H. J.
openaire +2 more sources

