Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling

17 September 2020

Papers citing "Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling"

25 / 25 papers shown

Title
GATSBI: Generative Adversarial Training for Simulation-Based Inference Poornima Ramesh Jan-Matthis Lueckmann Jan Boelts Álvaro Tejero-Cantero David S. Greenberg P. J. Gonçalves Jakob H. Macke GAN 68 37 0 12 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 270 30,123 0 01 Mar 2022
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 259 195 0 12 Jan 2021
Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion S. Mattis Kyle R. Steffen T. Butler C. Dawson D. Estep 13 6 0 15 Sep 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 240 551 0 08 Mar 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 66 89 0 17 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 202 1,691 0 05 Dec 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 172 851 0 04 Nov 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 60 86 0 30 Sep 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 409 5,103 0 19 Jun 2018
Likelihood-free inference with emulator networks Jan-Matthis Lueckmann Giacomo Bassetto Theofanis Karaletsos Jakob H. Macke 161 128 0 23 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 170 477 0 12 Apr 2018
Boosted Density Estimation Remastered Zac Cranko Richard Nock GAN 32 12 0 22 Mar 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,437 0 16 Feb 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 65 874 0 09 Feb 2018
Easy High-Dimensional Likelihood-Free Inference Vinay Jethava Devdatt Dubhashi BDL GAN 257 3 0 29 Nov 2017
Adversarial Variational Optimization of Non-Differentiable Simulators Gilles Louppe Joeri Hermans Kyle Cranmer GAN 151 66 0 22 Jul 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 60 678 0 22 May 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 158 135 0 27 Feb 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,686 0 15 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 135 1,818 0 15 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 149 1,655 0 02 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 258 10,409 0 06 Nov 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 165 4,300 0 18 Nov 2011