Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Planning chemical syntheses with deep neural networks and symbolic AI
Learning to Predict Chemical Reactions
Neuro-Symbolic Execution: The Feasibility of an Inductive Approach to Symbolic Execution
Towards Mixed Optimization for Reinforcement Learning with Program Synthesis
Automatic Chemical Design using Variational Autoencoders
Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules
QMDP-Net: Deep Learning for Planning under Partial Observability
Deep Almond : A Deep Learning-based Virtual Assistant [ Language-to-code synthesis of Trigger-Action programs using Seq 2 Seq Neural Networks ]
Software model synthesis using satisfiability solvers
Chemi-net: a graph convolutional network for accurate drug property prediction
SymNet: Scalable symbolic execution for modern networks
deep neural nets as a method for quantitative structure - activity relationships .
Angelix: scalable multiline program patch synthesis via symbolic analysis
Computational prediction of chemical reactions: current status and outlook.
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Recursive Program Synthesis
A renaissance of neural networks in drug discovery.
Compositional program synthesis from natural language and examples
Towards Synthesizing Complex Programs from Input-Output Examples
A Tutorial on Deep Neural Networks for Intelligent Systems
Towards Neural Network-based Reasoning
Female and male antisocial trajectories: from childhood origins to adult outcomes
Dual-polarized X-band microstrip patch sub-array for Off-the-Grid radar array antenna
The relationship between mutation frequency and replication strategy in positive-sense single-stranded RNA viruses
Learning to rank using gradient descent
Synthesizing data structure transformations from input-output examples