Haik Manukian

According to our database, Haik Manukian authored at least 9 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Memcomputing Artificial Intelligence: Improving Learning Algorithms with Algorithms that Learn

Haik Manukian

PhD thesis, 2021

Mode-Assisted Joint Training of Deep Boltzmann Machines.

Haik Manukian, Massimiliano Di Ventra

CoRR, 2021

2020

Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study.

Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra

J. Mach. Learn. Res., 2020

Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines.

Haik Manukian, Yan Ru Pei, Sean R. B. Bearden, Massimiliano Di Ventra

CoRR, 2020

Data Generation for Neural Programming by Example.

Judith Clymo, Adrià Gascón, Brooks Paige, Nathanaël Fijalkow, Haik Manukian

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Accelerating deep learning with memcomputing.

Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra

Neural Networks, 2019

Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops.

Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra

CoRR, 2019

2018

Memcomputing Numerical Inversion With Self-Organizing Logic Gates.

Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Instantons in self-organizing logic gates.

Sean R. B. Bearden, Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra

CoRR, 2017