暂无分享,去创建一个
Javier Felip | David Gómez-Gutiérrez | Omesh Tickoo | Vikash K. Mansinghka | Nilesh A. Ahuja | Vikash Mansinghka | J. Felip | D. Gómez‐Gutiérrez | Omesh Tickoo
[1] P. Moral. Nonlinear filtering : Interacting particle resolution , 1997 .
[2] Qingfu Zhang,et al. A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems , 2014, IEEE Transactions on Evolutionary Computation.
[3] Wojciech Zaremba,et al. Domain randomization for transferring deep neural networks from simulation to the real world , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[4] Christophe Andrieu,et al. Model criticism based on likelihood-free inference, with an application to protein network evolution , 2009, Proceedings of the National Academy of Sciences.
[5] A. Yuille,et al. Opinion TRENDS in Cognitive Sciences Vol.10 No.7 July 2006 Special Issue: Probabilistic models of cognition Vision as Bayesian inference: analysis by synthesis? , 2022 .
[6] D. M. Henderson. Euler angles, quaternions, and transformation matrices for space shuttle analysis , 1977 .
[7] Jukka Corander,et al. Approximate Bayesian Computation , 2013, PLoS Comput. Biol..
[8] Klaus C. J. Dietmayer,et al. The Ko-PER intersection laserscanner and video dataset , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[9] Fuchun Sun,et al. Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[10] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[11] Iain Murray,et al. Fast $\epsilon$-free Inference of Simulation Models with Bayesian Conditional Density Estimation , 2016, 1605.06376.
[12] Bernhard P. Wrobel,et al. Multiple View Geometry in Computer Vision , 2001 .
[13] D. Balding,et al. Approximate Bayesian computation in population genetics. , 2002, Genetics.
[14] Henry Fuchs,et al. On visible surface generation by a priori tree structures , 1980, SIGGRAPH '80.
[15] Iain Murray,et al. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows , 2018, AISTATS.
[16] Joshua B. Tenenbaum,et al. Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs , 2013, NIPS.
[17] Joshua B. Tenenbaum,et al. Picture: A probabilistic programming language for scene perception , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Paul J. Besl,et al. Method for registration of 3-D shapes , 1992, Other Conferences.
[19] L. Excoffier,et al. Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood , 2009, Genetics.
[20] David Welch,et al. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems , 2009, Journal of The Royal Society Interface.
[21] Jean-Michel Marin,et al. Approximate Bayesian computational methods , 2011, Statistics and Computing.