متابعة
Ricky Tian Qi Chen
Ricky Tian Qi Chen
أسماء أخرىRicky T. Q. Chen, Tian Qi Chen
Meta FAIR
بريد إلكتروني تم التحقق منه على meta.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Neural ordinary differential equations‏
RTQ Chen, Y Rubanova, J Bettencourt, DK Duvenaud‏
Advances in neural information processing systems, 6571-6583, 2018‏
63412018
Isolating Sources of Disentanglement in Variational Autoencoders‏
RTQ Chen, X Li, R Grosse, D Duvenaud‏
Advances in Neural Information Processing Systems, NIPS 2018, 2018‏
15592018
Latent odes for irregularly-sampled time series‏
Y Rubanova, RTQ Chen, D Duvenaud‏
Advances in Neural Information Processing Systems, NeurIPS 2019, 2019‏
1035*2019
Flow Matching for Generative Modeling‏
Y Lipman, RTQ Chen, H Ben-Hamu, M Nickel, M Le‏
International Conference on Learning Representations, ICLR 2023, 2022‏
9922022
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, ICLR 2019, 2019‏
9672019
Invertible residual networks‏
J Behrmann, W Grathwohl, RTQ Chen, D Duvenaud, JH Jacobsen‏
International Conference on Machine Learning, ICML 2019, 2019‏
7322019
Fast patch-based style transfer of arbitrary style‏
RTQ Chen, M Schmidt‏
Constructive Machine Learning Workshop, NIPS 2016, 2016‏
4632016
Residual flows for invertible generative modeling‏
RTQ Chen, J Behrmann, DK Duvenaud, JH Jacobsen‏
Advances in Neural Information Processing Systems, 9913-9923, 2019‏
4292019
Scalable gradients for stochastic differential equations‏
X Li, TKL Wong, RTQ Chen, D Duvenaud‏
International Conference on Artificial Intelligence and Statistics, 3870-3882, 2020‏
3682020
Scalable reversible generative models with free-form continuous dynamics‏
W Grathwohl, RTQ Chen, J Bettencourt, D Duvenaud‏
International Conference on Learning Representations, 2019‏
1592019
Learning Neural Event Functions for Ordinary Differential Equations‏
RTQ Chen, B Amos, M Nickel‏
International Conference on Learning Representations, ICLR 2021, 2021‏
1412021
Neural Spatio-Temporal Point Processes‏
RTQ Chen, B Amos, M Nickel‏
International Conference on Learning Representations, ICLR 2021, 2021‏
1252021
Riemannian Flow Matching on General Geometries‏
RTQ Chen, Y Lipman‏
ICLR 2024, 2023‏
123*2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings‏
AA Pooladian, H Ben-Hamu, C Domingo-Enrich, B Amos, Y Lipman, ...‏
International Conference on Machine Learning, ICML 2023, 2023‏
1192023
torchdiffeq, 2018‏
RTQ Chen‏
URL https://github. com/rtqichen/torchdiffeq 14, 0‏
103
Theseus: A Library for Differentiable Nonlinear Optimization‏
L Pineda, T Fan, M Monge, S Venkataraman, P Sodhi, R Chen, J Ortiz, ...‏
Advances in Neural Information Processing Systems, NeurIPS 2022, 2022‏
1002022
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization‏
CW Huang, RTQ Chen, C Tsirigotis, A Courville‏
International Conference on Learning Representations, ICLR 2021, 2021‏
982021
Scalable gradients and variational inference for stochastic differential equations‏
X Li, TKL Wong, RTQ Chen, DK Duvenaud‏
Symposium on Advances in Approximate Bayesian Inference, 1-28, 2020‏
882020
“Hey, that’s not an ODE”: Faster ODE Adjoints via Seminorms‏
P Kidger, RTQ Chen, T Lyons‏
International Conference on Machine Learning, ICML 2021, 2021‏
72*2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations‏
W Xu, RTQ Chen, X Li, D Duvenaud‏
Artificial Intelligence and Statistics, AISTATS 2022, 2022‏
622022
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مقالات 1–20