Thijs Vogels Pronunciation: /ˈtɛi̯s/

PhD student in Machine Learning & Optimization at EPFL
thijs.vogels@[uni].ch

About

I am a PhD student in the Machine Learning and Optimization laboratory at EPFL under the supervision of Martin Jaggi. Before joining EPFL, I worked as a lab associate at Disney Research. I received a B.Sc. from University College Roosevelt, an honours college from Utrecht University, and a M.Sc. from ETH Zürich in Computational Science & Engineering.

Publications

Denoising with Kernel Prediction and Asymmetric Loss Functions

Published
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2018), vol. 37, no. 4.
Vancouver, Canada, August 12 – August 16, 2018.
Teaser for “Kernel-predicting Convolutional Networks for Denoising Monte Carlo Renderings”

Kernel-predicting Convolutional Networks for Denoising Monte Carlo Renderings

Published
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2017), vol. 36, no. 4.
Los Angeles, USA, July 05 – August 03, 2017.
Teaser for “Denoising Monte Carlo Renderings with Convolutional Neural Networks”

Denoising Monte Carlo Renderings with Convolutional Neural Networks

Published
Master’s thesis, ETH Zürich, 2016.
Teaser for “Web2Text: Deep Structured Boilerplate Removal”

Web2Text: Deep Structured Boilerplate Removal

Published
European Conference on Information Retrieval, 167–179.
Grenoble, France, March 26 – March 29, 2018.
Teaser for “Towards a Burglary Risk Profiler Using Demographic and Spatial Factors”

Towards a Burglary Risk Profiler Using Demographic and Spatial Factors

Published
Web Information Systems Engineering (WISE) 16, 586–600.
Miami, USA, November 1 – November 3, 2015.