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Found 7 papers, 1 papers with code
Overcoming Order in Autoregressive Graph Generation
Graph generation is a fundamental problem in various domains, including chemistry and social networks.
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering
We propose a novel, physically-constrained and differentiable approach for the generation of D-dimensional qudit states via spontaneous parametric down-conversion (SPDC) in quantum optics.
Semi-Equivariant Conditional Normalizing Flows
We demonstrate the effectiveness of the technique in the molecular setting of receptor-aware ligand generation.
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation
We propose an algorithm for learning a conditional generative model of a molecule given a target.
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
In addition, our method can be readily applied for controlling other degrees of freedom of light in the SPDC process, such as the spectral and temporal properties, and may even be used in condensed-matter systems having a similar interaction Hamiltonian.
Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals
We introduce a systematic approach for designing 3D nonlinear photonic crystals and pump beams for generating desired quantum correlations between structured photon-pairs.
Localization with Limited Annotation for Chest X-rays
We present such a technique for localization with limited annotation, in which the number of images with bounding boxes can be a small fraction of the total dataset (e. g. less than 1%); all other images only possess a whole image label and no bounding box.
