Neural Models for Output-Space Invariance in Combinatorial Problems.
Yatin NandwaniVidit Jain MausamParag SinglaPublished in: CoRR (2022)
Keyphrases
- combinatorial problems
- neural models
- output space
- input space
- constraint programming
- combinatorial optimization
- bio inspired
- traveling salesman problem
- neural model
- neural network model
- metaheuristic
- constraint satisfaction problems
- constraint satisfaction
- structured output
- phase transition
- representative set
- spiking neural networks
- branch and bound algorithm
- neural network
- artificial neural networks
- high dimensional
- recurrent neural networks
- training set
- global constraints
- feature space
- dimensionality reduction
- search space
- class labels
- high dimensional data
- latent variables
- kernel function
- input data
- simulated annealing
- data analysis
- decision trees