Thijs Vogels
Microsoft Research (United Kingdom)(GB)
Publications by Year
Research Areas
Integrated Circuits and Semiconductor Failure Analysis, VLSI and Analog Circuit Testing, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Machine Learning in Healthcare
Most-Cited Works
- → Kernel-predicting convolutional networks for denoising Monte Carlo renderings(2017)316 cited
- → Denoising with kernel prediction and asymmetric loss functions(2018)178 cited
- → PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization(2019)96 cited
- → Fault tuples in diagnosis of deep-submicron circuits(2003)42 cited
- → Deformations of ic structure in test and yield learning(2004)34 cited
- Practical Low-Rank Communication Compression in Decentralized Deep Learning(2020)
- → Analog test design with I/sub DD/ measurements for the detection of parametric and catastrophic faults(2002)20 cited
- → Deep Compositional Denoising for High‐quality Monte Carlo Rendering(2021)18 cited