Sven Verdoolaege
Artificial Intelligence · 2010–2018
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #7,778 of 35,345 by trust here, #16,771 by citations
Whom Sven Verdoolaege trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sven Verdoolaege overall
- Nicolas Vasilache
- Chris Lattner
- Tianqi Chen
- Riyadh Baghdadi
- Oleksandr Zinenko
- Albert Cohen
- Cedric Nugteren
- Lianmin Zheng
- Jacques A. Pienaar
- Juan Carlos Juega
Papers from Sven Verdoolaege's perspective
Ordered by how strongly the researchers Sven Verdoolaege trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Optimization principles and application performance evaluation of a multithreaded GPU using CUDA (ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming)
- Optimizing Compilers for Modern Architectures: A Dependence-based Approach
- Improving neural networks by preventing co-adaptation of feature detectors
- Practical Bayesian Optimization of Machine Learning Algorithms
- TensorFlow: A system for large-scale machine learning
- Aggregated Residual Transformations for Deep Neural Networks
- Code generation in the polyhedral model is easier than you think (Proceedings. 13th International Conference on Parallel Architecture and Compilation Techniques, 2004. PACT 2004.)
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Their papers
- Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions (2018) — 490 citations
- isl: An Integer Set Library for the Polyhedral Model (2010) — 468 citations
- Polyhedral parallel code generation for CUDA (2013) — 430 citations