3 citations · 4 across the 4 of their papers we have counts for
4 papers
A Binary Optimisation Algorithm for Near-Term Photonic Quantum Processors
Alexander Makarovskiy, Mateusz Slysz, Łukasz Grodzki +5
Binary optimisation tasks are ubiquitous in areas ranging from logistics to cryptography. The exponential complexity of such problems means that the performance of traditional comp…
Quantum latent distributions in deep generative models
Omar Bacarreza, Thorin Farnsworth, Alexander Makarovskiy +6
Many successful families of generative models leverage a low-dimensional latent distribution that is mapped to a data distribution. Though simple latent distributions are often use…
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion
Alberto Cattaneo, Daniel Justus, Harry Mellor +7
We present the award-winning submission to the WikiKG90Mv2 track of OGB-LSC@NeurIPS 2022. The task is link-prediction on the large-scale knowledge graph WikiKG90Mv2, consisting of…
Optimal predictive probability designs for randomized biomarker-guided oncology trials
Emily C. Zabor, Alexander M. Kaizer, Nathan A. Pennell +1
Efforts to develop biomarker-targeted anti-cancer therapies have progressed rapidly in recent years. Six antibodies acting on programmed death ligand 1 or programmed death 1 pathwa…