Given a graph stream, how can we estimate the number of triangles in it using multiple machines with limited storage? Specifically, should edges be processed and sampled across for rapid accurate estimation? The count (i.e., cliques size three) has proven useful numerous applications, including anomaly detection, community link recommendation. For triangle counting large dynamic graphs, recent ...

A question of fundamental biological significance is to what extent the expression a subset genes can be used recover full transcriptome, with important implications for discovery and clinical application. To address this challenge, we propose two novel deep learning methods, PMI GAIN-GTEx, gene imputation. In order increase applicability our approach, leverage data from GTEx v8, reference reso...

We introduce caloflow, a fast detector simulation framework based on normalizing flows. For the first time, we demonstrate that flows can reproduce many-channel calorimeter showers with extremely high fidelity, providing fresh alternative to computationally expensive geant4 simulations, as well other state-of-the-art frameworks generative adversarial networks (GANs) or variational autoencoders ...