Dumoulin, Vincent

Improved training of Wasserstein GANs

Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., & Courville, A. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 6,800

Generative Adversarial Networks: An Overview

Creswell, A., White, T., Dumoulin, V., Arulkumaran, K., Sengupta, B., & Bharath, A. A. (2018) · IEEE Signal Processing Magazine

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 4,540

Film: Visual reasoning with a general conditioning layer

Perez, E., Strub, F., De Vries, H., Dumoulin, V., & Courville, A. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2,490

Exploring the structure of a real-time, arbitrary neural artistic stylization network

Ghiasi, G., Lee, H., Kudlur, M., Dumoulin, V., & Shlens, J. (2017) · Procedings of the British Machine Vision Conference 2017

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 306

On the Challenges of Physical Implementations of RBMs

Dumoulin, V., Goodfellow, I., Courville, A., & Bengio, Y. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence

Quantum Computing Algorithms and ArchitectureNeural Networks and Applications

Cited by 46