Adam R. Kosiorek

Adam R. Kosiorek

Approximate Inference, Deep Generative Models

I am a PhD student supervised by Ingmar Posner and Yee Whye Teh. I am interested in machine reasoning, and mostly in efficient inference in deep generative models, especially for timeseries. I am also excited by attention mechanisms and external memory for neural networks. I received an MSc in Computational Science & Engineering from the Technical University of Munich, where I worked on VAEs with Patrick van der Smagt.

In my free time I train gymnastics and read lots of books.

Publications

2018

  • T. Rainforth , A. R. Kosiorek , T. A. Le , C. J. Maddison , M. Igl , F. Wood , Y. W. Teh , Tighter Variational Bounds are Not Necessarily Better, arXiv preprint arXiv:1802.04537, 2018.

2017

  • N. Dhir , A. R. Kosiorek , I. Posner , Bayesian Delay Embeddings for Dynamical Systems, in NIPS Timeseries Workshop, 2017.
  • A. R. Kosiorek , A. Bewley , I. Posner , Hierarchical Attentive Recurrent Tracking, in Neural Information Processing Systems, 2017.