Instantons in self-organizing logic gates. - Sean R. B. Bearden; Haik Manukian; Fabio L. Traversa; Massimiliano Di Ventra (CoRR, 2017)

Memcomputing Numerical Inversion With Self-Organizing Logic Gates. - Haik Manukian; Fabio L. Traversa; Massimiliano Di Ventra (IEEE Trans. Neural Networks Learn. Syst., 2018)

Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops. - Yan Ru Pei; Haik Manukian; Massimiliano Di Ventra (CoRR, 2019)

Accelerating deep learning with memcomputing. - Haik Manukian; Fabio L. Traversa; Massimiliano Di Ventra (Neural Networks, 2019)

Data Generation for Neural Programming by Example. - Judith Clymo; Adrià Gascón; Brooks Paige; Nathanaël Fijalkow; Haik Manukian (AISTATS, 2020)

Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines. - Haik Manukian; Yan Ru Pei; Sean R. B. Bearden; Massimiliano Di Ventra (CoRR, 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 Joint Training of Deep Boltzmann Machines. - Haik Manukian; Massimiliano Di Ventra (CoRR, 2021)

Memcomputing Artificial Intelligence: Improving Learning Algorithms with Algorithms that Learn - Haik Manukian (2021)

Circuit Component Tolerance of Self-Organizing Logic Gates. - Haik Manukian; Osama Nayfeh; Matthew Kelly (SMACD, 2024)