3 papers
cs.AR2020
Ising Model Optimization Problems on a FPGA Accelerated Restricted Boltzmann Machine
Saavan Patel, Lili Chen, Philip Canoza +1
Optimization problems, particularly NP-Hard Combinatorial Optimization problems, are some of the hardest computing problems with no known polynomial time algorithm existing. Recent…
cs.LG2020
Logically Synthesized, Hardware-Accelerated, Restricted Boltzmann Machines for Combinatorial Optimization and Integer Factorization
Saavan Patel, Philip Canoza, Sayeef Salahuddin
The Restricted Boltzmann Machine (RBM) is a stochastic neural network capable of solving a variety of difficult tasks such as NP-Hard combinatorial optimization problems and intege…
cs.LG2019
Combining Learned Representations for Combinatorial Optimization
Saavan Patel, Sayeef Salahuddin
We propose a new approach to combine Restricted Boltzmann Machines (RBMs) that can be used to solve combinatorial optimization problems. This allows synthesis of larger models from…