Max Welling Computer sciences – Artificial Intelligence (expert systems - machine learning - robotics)
Prof. Dr. Max Welling is a research chair in Machine Learning at the University of Amsterdam and has secondary appointments as full professor at the University of California Irvine and as a senior fellow at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of “Scyfer BV” a university spin-off in deep learning. In the past he held postdoctoral positions at Caltech (’98-’00), UCL (’00-’01) and the U. Toronto (’01-’03). He received his PhD in ’98 under supervision of Prof. G. ‘t Hooft. Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015 (impact factor 4.8). He serves on the board of the NIPS foundation since 2015 (the largest conference in machine learning) and has been program chair and general chair of NIPS in 2013 and 2014 respectively. He was also program chair of AISTATS in 2009 and will be a program chair of ECCV in 2016. He has served on the editorial boards of JMLR and JML and was an associate editor for Neurocomputing, JCGS and TPAMI. He received multiple grants from Google, Facebook, Yahoo, NSF, NIH, NWO and ONR-MURI among which an NSF career grant in 2005. He is recipient of the ECCV Koenderink Prize in 2010 and the best paper award at ICML 2012. Welling is currently the director of the master program in artificial intelligence at the UvA, he is in the board of the Data Science Research Center in Amsterdam and he co-directs the Qualcomm-UvA deep learning lab.
Associate Editor in Chief, IEEE TPAMI
General Chair, NIPS, 2014.
Best Paper Award, ICML, 2012.
ECCV Koenderink Prize, 2010.
National Science Foundation Career Grant, 2005.
D. Kingma et al, "Variational Dropout and the Local Reparameter- ization Trick," NIPS, 2015.
A. Korattikara et al, "Bayesian Dark Knowledge," NIPS, 2015.
D. Kingma et al, "Semi-supervised Learning with Deep Generative Models," NIPS, pp. 3581-3589, 2014.
T. Cohen and M. Welling, "Harmonic Exponential Families on Manifolds," ICML, 2015.
D. Kingma and M. Welling, "Auto-Encoding Variational Bayes," ICLR, 2014.
Senior Fellow Learning in Machines & Brains
University of AmsterdamFaculty of Science
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