I am a doctoral student at Probabilistic Machine Learning group at Aalto Univeristy. My research is focused on bayesian deep learning and developing scalable learning algorithms for practical applications in various domains.

My prime areas of interest are:

• Bayesian Deep Learning
• Generative models
• Uncertainty in learning models

Publications

• Practical Deep Learning with Bayesian Principles, NeurIPS 2019

  Kazuki Osawa, Siddharth Swaroop, Anirudh Jain, Runa Eschenhagen, Richard E. Turner, Rio Yokota, M.Emtiyaz Khan

  [ arxiv ] [ code ]

Posts

• Molecular graph generation with PyTorch and PyGeometric

  We use GraphVAE for molecular generation with one shot generation of a probabilistic graph with predefined maximum size.

  Jun 24, 2020