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01/20/2023
Self-Averaging of Digital MemComputing Machines
Digital MemComputing machines (DMMs) are a new class of computing machin...
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02/17/2021
Mode-Assisted Joint Training of Deep Boltzmann Machines
The deep extension of the restricted Boltzmann machine (RBM), known as t...
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02/06/2021
Directed percolation and numerical stability of simulations of digital memcomputing machines
Digital memcomputing machines (DMMs) are a novel, non-Turing class of ma...
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01/15/2020
Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Restricted Boltzmann machines (RBMs) are a powerful class of generative ...
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05/14/2019
Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops
Many optimization problems can be cast into the maximum satisfiability (...
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08/29/2018
MemComputing Integer Linear Programming
Integer linear programming (ILP) encompasses a very important class of o...
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06/30/2018
Stress-testing memcomputing on hard combinatorial optimization problems
Memcomputing is a novel paradigm of computation that utilizes dynamical ...
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02/20/2018
Memcomputing: Leveraging memory and physics to compute efficiently
It is well known that physical phenomena may be of great help in computi...
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01/01/2018
Accelerating Deep Learning with Memcomputing
Restricted Boltzmann machines (RBMs) and their extensions, often called ...
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12/23/2017
On the Universality of Memcomputing Machines
Universal memcomputing machines (UMMs) [IEEE Trans. Neural Netw. Learn. ...
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10/23/2017
Evidence of an exponential speed-up in the solution of hard optimization problems
Optimization problems pervade essentially every scientific discipline an...
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12/13/2016
Memcomputing Numerical Inversion with Self-Organizing Logic Gates
We propose to use Digital Memcomputing Machines (DMMs), implemented with...
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05/05/2014
Universal Memcomputing Machines
We introduce the notion of universal memcomputing machines (UMMs): a cla...
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08/21/2009