Robert Gens
I received my Ph.D. in Computer Science and Engineering from the University of Washington in 2016, working on machine learning for computer vision. I was supported by the Google PhD Fellowship in Deep Learning.
I received my S.B. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2009.
My goal is to create learning systems that can understand infinite visual data as stable concepts. I enjoy learning about neuroscience, graphics, and mathematics, as I believe they will inspire new algorithms that will thrive on tomorrow's computers.
Publications
- Deep Symmetry Networks.
Robert Gens and Pedro Domingos.
Advances in Neural Information Processing Systems 27 (NIPS 2014).
pdf - Learning the Structure of Sum-Product Networks
Robert Gens and Pedro Domingos.
International Conference on Machine Learning 30 (ICML 2013).
pdf slides code and supplemental results - Discriminative Learning of Sum-Product Networks.
Robert Gens and Pedro Domingos.
Advances in Neural Information Processing Systems 25 (NIPS 2012).
Outstanding Student Paper Award
pdf slides bib talk video
Workshop Papers
- Compositional Kernel Machines.
Robert Gens and Pedro Domingos.
ICLR 2017 Workshop Track.
pdf workshop - Learning Selective Sum-Product Networks.
Robert Peharz, Robert Gens, and Pedro Domingos.
ICML 2014 Workshop on Learning Tractable Probabilistic Models.
pdf workshop - Competitive Learning for Deep Temporal Networks.
Robert Gens and Pedro Domingos.
NIPS 2009 Workshop on Deep Learning for Speech Recognition and Related Applications.
pdf workshop
Extra
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