Jorn W.T. Peters

PhD Student in Deep Learning at University of Amsterdam ยท j.w.t.peters@uva.nl

I am a second-year PhD student in Deep Learning focussing on model compression and distillation, supervised by Max Welling. My main interests lay in probabilistic and information-theoretic methods for Deep Learning.

I received a Bachelors degree in Artificial Intelligence (hons. & cum laude) and a Masters degree in Artificial Intelligence (cum laude) from the University of Amsterdam. My Msc thesis [pdf] was on Deep Learning methods for Deconvolution in Radio Astronomy (supervised by Patrick Putzky).

Publications

  • E. Hoogeboom, J.W.T. Peters, R. van den Berg, M. Welling, Integer Discrete Flows and Lossless Compression. arXiv, under review, 2019. [pdf]
  • J.W.T. Peters, T. Genewein, M. Welling, Probabilistic Binary Neural Networks. arXiv, 2018. [pdf]
  • E. Hoogeboom*, J.W.T. Peters*, T.S. Cohen, M. Welling, HexaConv. International Conference on Learning Representations (ICLR), 2018. [pdf] [code]