Thijs Vogels

Kernel-predicting convolutional networks for denoising Monte Carlo renderings

Steve Bako, Thijs Vogels, Brian McWilliams et al. · ACM Transactions on Graphics · 2017 · 315 citations · Full text

Local Weighting Kernels, Convolutional Neural Network, Machine Vision +15

Denoising with kernel prediction and asymmetric loss functions

Thijs Vogels, Fabrice Rousselle, Brian McWilliams et al. · ACM Transactions on Graphics · 2018 · 178 citations

Convolutional Neural Network, Engineering, Machine Learning +17

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi · arXiv (Cornell University) · 2019 · 96 citations · Full text

Engineering, Machine Learning, Data Science +13

PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization

Thijs Vogels, Sai Praneeth Karimireddy, Martin Jaggi · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2019 · 68 citations · Full text

Fault tuples in diagnosis of deep-submicron circuits

R.D. Blanton, J.T. Chen, Rao Desineni et al. · 2003 · 42 citations

Circuit Complexity, Fault Diagnosis, Engineering +17