Natural sciences
Scientific applications use known structure as well as observed data.
Lessons
- Regularized inverse problem
- Eigenvalue equation
- Inverse problem objective
- Hamiltonian potential terms
- Eigenvalue equation
- Swapping particles
- Finite Rayleigh quotient and local energy
- Spin-block determinants
- Permutation-equivariant features
- Distance-based embeddings
- Determinants with learned factors
- Embedding into a feature network
- A product of orbitals
- A finite inverse minimum
- Learned inverse reconstruction
- Particle and nucleus coordinates
- Three learned inverse components
- Wavefunction input and output
- Separate spin-group embeddings
- An undefined source symbol