David Berthelot
David Berthelot
Verified email at google.com
Title
Cited by
Cited by
Year
Began: Boundary equilibrium generative adversarial networks
D Berthelot, T Schumm, L Metz
arXiv preprint arXiv:1703.10717, 2017
8222017
Mixmatch: A holistic approach to semi-supervised learning
D Berthelot, N Carlini, I Goodfellow, N Papernot, A Oliver, CA Raffel
Advances in Neural Information Processing Systems, 5049-5059, 2019
3782019
Technical report on the cleverhans v2. 1.0 adversarial examples library
N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ...
arXiv preprint arXiv:1610.00768, 2016
1222016
Fixmatch: Simplifying semi-supervised learning with consistency and confidence
K Sohn, D Berthelot, CL Li, Z Zhang, N Carlini, ED Cubuk, A Kurakin, ...
arXiv preprint arXiv:2001.07685, 2020
1152020
Wikireading: A novel large-scale language understanding task over wikipedia
D Hewlett, A Lacoste, L Jones, I Polosukhin, A Fandrianto, J Han, ...
arXiv preprint arXiv:1608.03542, 2016
1102016
Understanding and improving interpolation in autoencoders via an adversarial regularizer
D Berthelot, C Raffel, A Roy, I Goodfellow
arXiv preprint arXiv:1807.07543, 2018
782018
Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
arXiv preprint arXiv:1911.09785, 2019
592019
An efficient linear time algorithm for scan chain optimization and repartitioning
D Berthelot, S Chaudhuri, H Savoj
Proceedings. International Test Conference, 781-787, 2002
272002
Remixmatch: Semi-supervised learning with distribution matching and augmentation anchoring
D Berthelot, N Carlini, ED Cubuk, A Kurakin, K Sohn, H Zhang, C Raffel
International Conference on Learning Representations, 2019
232019
High-fidelity extraction of neural network models
M Jagielski, N Carlini, D Berthelot, A Kurakin, N Papernot
arXiv preprint arXiv:1909.01838, 2019
222019
Began: Boundary equilibrium generative adversarial networks. arXiv 2017
D Berthelot, T Schumm, L Metz
arXiv preprint arXiv:1703.10717, 2018
192018
BEGAN: Boundary equilibrium generative adversarial networks, 2017
D Berthelot, T Schumm, L Metz
arXiv preprint arXiv:1703.10717, 2017
182017
High Accuracy and High Fidelity Extraction of Neural Networks
M Jagielski, N Carlini, D Berthelot, A Kurakin, N Papernot
29th {USENIX} Security Symposium ({USENIX} Security 20), 2020
162020
Combinational techniques for sequential equivalence checking
H Savoj, D Berthelot, A Mishchenko, R Brayton
Formal Methods in Computer Aided Design, 145-149, 2010
152010
Optibist: A tool for bisting datapaths
D Berthelot, ML Flottes, B Rouzeyre
Proceedings of IEEE European Test Workshop, 123-127, 1998
91998
Computing on sequences of embedded intervals
D Berthelot, M Daumas
Reliable Computing 3 (3), 219-227, 1997
81997
BISTing datapaths under heterogeneous test schemes
D Berthelot, ML Flottes, B Rouzeyre
Journal of Electronic Testing 14 (1-2), 115-123, 1999
71999
Selection of optimal clock gating elements
H Savoj, D Berthelot
US Patent 7,884,649, 2011
62011
Creating High Resolution Images with a Latent Adversarial Generator
D Berthelot, P Milanfar, I Goodfellow
arXiv preprint arXiv:2003.02365, 2020
42020
Combining mixmatch and active learning for better accuracy with fewer labels
S Song, D Berthelot, A Rostamizadeh
arXiv preprint arXiv:1912.00594, 2019
42019
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