Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Bayesian Grammar Learning for Inverse Procedural Modeling
Inverse Procedural Modeling by Automatic Generation of L-systems
A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge
Object detection with grammar models
Inverse design of urban procedural models
Learning text to model: A Bayesian network based L-system modeling strategy
Self-Training PCFG Grammars with Latent Annotations Across Languages
Embodied Construction Grammar in Simulation-Based Language Understanding
Pragmatic Language Interpretation as Probabilistic Inference
Generative Statistical Models with Self-Emergent Grammar of Chord Sequences
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach
GPstuff: Bayesian modeling with Gaussian processes
The Declarative / Procedural Model : A Neurobiological Model of Language Learning , Knowledge , and Use
Extracting grammar from programs: brute force approach
A model-learner pattern for bayesian reasoning
Knowledge tracing: Modeling the acquisition of procedural knowledge
Bayesian Sketch Learning for Program Synthesis
Automatic Learning of Context-Free Grammar
Boosting Unsupervised Grammar Induction by Splitting Complex Sentences on Function Words
Unified Pragmatic Models for Generating and Following Instructions
1 bayesian sketch learning for program synthesis .
Third-Eye: A Mobilephone-Enabled Crowdsensing System for Air Quality Monitoring
Learning an Integrated Distance Metric for Comparing Structure of Complex Networks
An example-based procedural system for element arrangement
GCD Computation of n Integers
A high-accuracy CMOS on-chip RC oscillator