<--- Back to Details
First PageDocument Content
Computational neuroscience / Software engineering / Applied mathematics / Computing / Domain-specific language / Artificial neural network / Neural network / Algorithm / Fold / Generative model / Convolutional neural network
Date: 2018-08-06 06:17:49
Computational neuroscience
Software engineering
Applied mathematics
Computing
Domain-specific language
Artificial neural network
Neural network
Algorithm
Fold
Generative model
Convolutional neural network

D REAM C ODER: Bootstrapping Domain-Specific Languages for Neurally-Guided Bayesian Program Learning Kevin Ellis 1 Lucas Morales 1 Mathias Sabl´e Meyer 1 Armando Solar-Lezama 1 Joshua B. TenenbaumIntroduction

Add to Reading List

Source URL: uclmr.github.io

Download Document from Source Website

File Size: 188,56 KB

Share Document on Facebook

Similar Documents

Generative Embedding for Model-Based Classification of fMRI Data Kay H. Brodersen1,2*, Thomas M. Schofield3, Alexander P. Leff3, Cheng Soon Ong1, Ekaterina I. Lomakina1,2, Joachim M. Buhmann1, Klaas E. Stephan2,3 1 Depar

Generative Embedding for Model-Based Classification of fMRI Data Kay H. Brodersen1,2*, Thomas M. Schofield3, Alexander P. Leff3, Cheng Soon Ong1, Ekaterina I. Lomakina1,2, Joachim M. Buhmann1, Klaas E. Stephan2,3 1 Depar

DocID: 1u7JT - View Document

A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation Helge Rhodin1 Nadia Robertini1, 2 Christian Richardt1, 2 Hans-Peter Seidel1 Christian Theobalt1 1  MPI Informatik

A Versatile Scene Model with Differentiable Visibility Applied to Generative Pose Estimation Helge Rhodin1 Nadia Robertini1, 2 Christian Richardt1, 2 Hans-Peter Seidel1 Christian Theobalt1 1 MPI Informatik

DocID: 1tj59 - View Document

1  Event-based Camera Pose Tracking using a Generative Event Model  arXiv:1510.01972v1 [cs.CV] 7 Oct 2015

1 Event-based Camera Pose Tracking using a Generative Event Model arXiv:1510.01972v1 [cs.CV] 7 Oct 2015

DocID: 1tfn9 - View Document

Name Phylogeny: A Generative Model of String Variation Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N.

Name Phylogeny: A Generative Model of String Variation Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N.

DocID: 1ta2d - View Document

INDEPENDENT COMPONENT ANALYSIS APPLIED TO fMRI DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS V. Calhoun1,2, T. Adali,2 and G. Pearlson1 Johns Hopkins University Division of Psychiatric Neuro-Imaging, 600 N. Wolfe St.,

INDEPENDENT COMPONENT ANALYSIS APPLIED TO fMRI DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS V. Calhoun1,2, T. Adali,2 and G. Pearlson1 Johns Hopkins University Division of Psychiatric Neuro-Imaging, 600 N. Wolfe St.,

DocID: 1sk5A - View Document