Results 11 to 20 of about 510 (57)
Analysis and FPGA based Implementation of Permutation Binary Neural Networks
, 2023 This paper studies a permutation binary neural network characterized by local binary connections, global permutation connections, and the signum activation function.
Onuki, Mikito +2 more
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Surrogate-Assisted Evolutionary Generative Design Of Breakwaters Using Deep Convolutional Networks
, 2022 In the paper, a multi-objective evolutionary surrogate-assisted approach for the fast and effective generative design of coastal breakwaters is proposed.
Kalyuzhnaya, Anna V. +2 more
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Optimization of a Hydrodynamic Computational Reservoir through Evolution
, 2023 As demand for computational resources reaches unprecedented levels, research is expanding into the use of complex material substrates for computing. In this study, we interface with a model of a hydrodynamic system, under development by a startup, as a ...
Heiney, Kristine +4 more
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Disclosure of a Neuromorphic Starter Kit
, 2022 This paper presents a Neuromorphic Starter Kit, which has been designed to help a variety of research groups perform research, exploration and real-world demonstrations of brain-based, neuromorphic processors and hardware environments.
Foshie, Adam Z. +4 more
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Deep Learning: Our Miraculous Year 1990-1991
, 2020 In 2020, we will celebrate that many of the basic ideas behind the deep learning revolution were published three decades ago within fewer than 12 months in our "Annus Mirabilis" or "Miraculous Year" 1990-1991 at TU Munich.
Schmidhuber, Juergen
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Frequency Fitness Assignment: Optimization without Bias for Good Solutions can be Efficient
, 2022 A fitness assignment process transforms the features (such as the objective value) of a candidate solution to a scalar fitness, which then is the basis for selection.
Chen, Yan +4 more
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Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning
, 2022 We present a Quality-Diversity benchmark suite for Deep Neuroevolution in Reinforcement Learning domains for robot control. The suite includes the definition of tasks, environments, behavioral descriptors, and fitness.
Allard, Maxime +5 more
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Evolutionary Dynamic Optimization and Machine Learning
, 2023 Evolutionary Computation (EC) has emerged as a powerful field of Artificial Intelligence, inspired by nature's mechanisms of gradual development. However, EC approaches often face challenges such as stagnation, diversity loss, computational complexity ...
Boulesnane, Abdennour
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, 2023 The main deficiency of the algorithms running on digital computers nowadays is their inability to change themselves during the execution. In line with this, the paper introduces the so-called replicated algorithms, inspired by the concept of developing a
Fister Jr., Iztok, Fister, Iztok
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Priors for symbolic regression
, 2023 When choosing between competing symbolic models for a data set, a human will naturally prefer the "simpler" expression or the one which more closely resembles equations previously seen in a similar context. This suggests a non-uniform prior on functions,
Bartlett, Deaglan J. +2 more
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