I’m a PhD student in Machine Learning at the University of Amsterdam working with Max Welling. I received a Bachelors degree in Computer Science from Utrecht University and a Masters in Artificial Intelligence from the University of Amsterdam (both cum laude). I’m a cofounder of Scyfer. I received the 2017 Google PhD Fellowship. Here is my CV.
My research is focussed on data-efficient deep learning and supervised and unsupervised learning of invariant and equivariant visual representations. I’m also interested in the theoretical foundations of representation learning and deep learning, which I’m trying to understand using tools from group representation theory.
T. Matiisen, A. Oliver, T.S. Cohen, J. Schulman, Teacher-Student Curriculum Learning. ArXiv preprint 1707.00183, 2017
T.S. Cohen, M. Welling, Steerable CNNs. International Conference on Learning Representations (ICLR), 2017
L.M. Zintgraf, T.S. Cohen, T. Adel, M. Welling, Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. International Conference on Learning Representations (ICLR), 2017
T. Adel, T.S. Cohen, M. Caan, M. Welling, 3D Scattering Transforms for Disease Classification in Neuroimaging. Neuroimage: clinical, 2017 (accepted)
L.M. Zintgraf, T.S. Cohen, M. Welling, A New Method to Visualize Deep Neural Networks. ArXiv preprint 1603.02518, 2016
T.S. Cohen, M. Welling, Transformation Properties of Learned Visual Representations. International Conference on Learning Representations (ICLR), 2015.
T.S. Cohen, Learning Transformation Groups and their Invariants. Master’s thesis, University of Amsterdam, 2013. (1st place University of Amsterdam thesis prize 2014)