Published 8 papers, including preprints and conference papers. Research areas include discrete diffusion models, inverse distillation methods, image super-resolution, multilabel rib segmentation, and machine learning applications in the Baikal-GVD experiment.
Research Experience
Currently a PhD student at the Moscow Center for Advanced Studies, focusing on research in computer vision and diffusion models.
Education
PhD Student at Moscow Center for Advanced Studies
Background
Research Interests: Computer Vision and Diffusion Models; Professional Fields: Supervised Learning, Machine Learning, Statistical Learning, Advanced Machine Learning; Previously worked in ML for Astrophysics and Medical Imaging.