David Lopez-Paz
David Lopez-Paz
Research Scientist, Facebook AI Paris
Verified email at fb.com
Title
Cited by
Cited by
Year
mixup: Beyond empirical risk minimization
H Zhang, M Cisse, YN Dauphin, D Lopez-Paz
ICLR, 2018
16262018
Gradient Episodic Memory for Continual Learning
D Lopez-Paz, MA Ranzato
NeurIPS, 2017
5942017
Unifying distillation and privileged information
D Lopez-Paz, L Bottou, B Schölkopf, V Vapnik
ICLR, 2016
2452016
Invariant risk minimization
M Arjovsky, L Bottou, I Gulrajani, D Lopez-Paz
arXiv, 2019
2072019
Manifold mixup: learning better representations by interpolating hidden states
V Verma, A Lamb, C Beckham, A Najafi, A Courville, I Mitliagkas, ...
ICML, 2019
205*2019
Optimizing the latent space of generative networks
P Bojanowski, A Joulin, D Lopez-Paz, A Szlam
ICML, 2018
1992018
The Randomized Dependence Coefficient
D Lopez-Paz, P Hennig, B Schölkopf
NeurIPS, 2013
1622013
Randomized Nonlinear Component Analysis
D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf
ICML, 2014
1612014
Interpolation consistency training for semi-supervised learning
V Verma, A Lamb, J Kannala, Y Bengio, D Lopez-Paz
IJCAI, 2019
1602019
Revisiting classifier two-sample tests
D Lopez-Paz, M Oquab
ICLR, 2017
1502017
Towards a Learning Theory of Cause-Effect Inference
D Lopez-Paz, K Muandet, B Schölkopf, I Tolstikhin
ICML, 2015
1292015
Discovering causal signals in images
D Lopez-Paz, R Nishihara, S Chintala, B Scholkopf, L Bottou
CVPR, 2017
762017
First-order adversarial vulnerability of neural networks and input dimension
CJ Simon-Gabriel, Y Ollivier, L Bottou, B Schölkopf, D Lopez-Paz
ICML, 2019
74*2019
Single-Model Uncertainties for Deep Learning
N Tagasovska, D Lopez-Paz
NeurIPS, 2019
63*2019
Learning functional causal models with generative neural networks
O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag
Explainable and Interpretable Models in Computer Vision and Machine Learning …, 2018
542018
Gaussian Process Vine Copulas for Multivariate Dependence
D Lopez-Paz, JM Hernández-Lobato, Z Ghahramani
ICML, 2013
372013
Semi-Supervised Domain Adaptation with Non-Parametric Copulas
D Lopez-Paz, JM Hernández-Lobato, B Schölkopf
NeurIPS, 2012
332012
In Search of Lost Domain Generalization
I Gulrajani, D Lopez-Paz
ICLR, 2021
302021
SAM: Structural Agnostic Model, causal discovery and penalized adversarial learning
D Kalainathan, O Goudet, I Guyon, D Lopez-Paz, M Sebag
arXiv, 2018
29*2018
Geometrical insights for implicit generative modeling
L Bottou, M Arjovsky, D Lopez-Paz, M Oquab
Braverman Readings in Machine Learning. Key Ideas from Inception to Current …, 2018
272018
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