متابعة
David Duvenaud
David Duvenaud
Associate Professor, University of Toronto
بريد إلكتروني تم التحقق منه على cs.toronto.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Neural Ordinary Differential Equations‏
RTQ Chen, Y Rubanova, J Bettencourt, D Duvenaud‏
Neural Information Processing Systems, 2018‏
61932018
Convolutional Networks on Graphs for Learning Molecular Fingerprints‏
D Duvenaud, D Maclaurin, J Aguilera-Iparraguirre, R Gómez-Bombarelli, ...‏
Neural Information Processing Systems, 2015‏
46112015
Automatic chemical design using a data-driven continuous representation of molecules‏
R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ...‏
ACS central science 4 (2), 268-276, 2018‏
37172018
Isolating sources of disentanglement in variational autoencoders‏
RTQ Chen, X Li, R Grosse, D Duvenaud‏
Neural Information Processing Systems, arXiv preprint arXiv:1802.04942, 2018‏
15552018
Gradient-based hyperparameter optimization through reversible learning‏
D Maclaurin, D Duvenaud, R Adams‏
International conference on machine learning, 2113-2122, 2015‏
11352015
FFJORD: Free-form continuous dynamics for scalable reversible generative models‏
W Grathwohl, RTQ Chen, J Betterncourt, I Sutskever, D Duvenaud‏
International Conference on Learning Representations, 2018‏
1097*2018
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach‏
R Gómez-Bombarelli, J Aguilera-Iparraguirre, TD Hirzel, D Duvenaud, ...‏
Nature materials 15 (10), 1120-1127, 2016‏
10382016
Latent ODEs for irregularly-sampled time series‏
Y Rubanova, RTQ Chen, D Duvenaud‏
Neural Information Processing Systems, 2019‏
1007*2019
Automatic model construction with Gaussian processes‏
D Duvenaud‏
9872014
Invertible residual networks‏
J Behrmann, W Grathwohl, RTQ Chen, D Duvenaud, JH Jacobsen‏
International Conference on Machine Learning, 2018‏
7272018
Structure Discovery in Nonparametric Regression through Compositional Kernel Search‏
D Duvenaud, JR Lloyd, R Grosse, JB Tenenbaum, Z Ghahramani‏
International Conference on Machine Learning, 2013‏
6652013
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One‏
W Grathwohl, KC Wang, JH Jacobsen, D Duvenaud, M Norouzi, ...‏
International Conference on Learning Representations 2020, 2019‏
6442019
Composing graphical models with neural networks for structured representations and fast inference‏
MJ Johnson, DK Duvenaud, A Wiltschko, RP Adams, SR Datta‏
Advances in neural information processing systems 29, 2016‏
5692016
Neural networks for the prediction of organic chemistry reactions‏
JN Wei, D Duvenaud, A Aspuru-Guzik‏
ACS central science 2 (10), 725-732, 2016‏
4852016
Optimizing Millions of Hyperparameters by Implicit Differentiation‏
J Lorraine, P Vicol, D Duvenaud‏
Artificial Intelligence and Statistics, 2019‏
4642019
Additive Gaussian Processes‏
D Duvenaud, H Nickisch, CE Rasmussen‏
Neural Information Processing Systems, 2011‏
4522011
Scalable Gradients for Stochastic Differential Equations‏
X Li, TKL Wong, RTQ Chen, D Duvenaud‏
Artificial Intelligence and Statistics, 2020‏
442*2020
Residual Flows for Invertible Generative Modeling‏
RTQ Chen, J Behrmann, D Duvenaud, JH Jacobsen‏
Neural Information Processing Systems, 2019‏
4232019
Efficient Graph Generation with Graph Recurrent Attention Networks‏
R Liao, Y Li, Y Song, S Wang, C Nash, WL Hamilton, D Duvenaud, ...‏
Neural Information Processing Systems, 2019‏
3952019
Autograd: Reverse-mode differentiation of native python‏
D Maclaurin, D Duvenaud, M Johnson, RP Adams‏
ICML workshop on Automatic Machine Learning, 2015‏
391*2015
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مقالات 1–20