Results 21 to 30 of about 510 (57)
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments
, 2023 This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experiments conducted at the High Luminosity Large Hadron Collider.
Bean, Alice +14 more
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Accelerating Evolution Through Gene Masking and Distributed Search
, 2023 In building practical applications of evolutionary computation (EC), two optimizations are essential. First, the parameters of the search method need to be tuned to the domain in order to balance exploration and exploitation effectively.
Miikkulainen, Risto, Shahrzad, Hormoz
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Genetic Algorithm for Program Synthesis
, 2023 A deductive program synthesis tool takes a specification as input and derives a program that satisfies the specification. The drawback of this approach is that search spaces for such correct programs tend to be enormous, making it difficult to derive ...
Nagashima, Yutaka
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A Bandit Approach with Evolutionary Operators for Model Selection
This work formulates model selection as an infinite-armed bandit problem, namely, a problem in which a decision maker iteratively selects one of an infinite number of fixed choices (i.e., arms) when the properties of each choice are only partially known ...
Brégère, Margaux, Keisler, Julie
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GraphGPT: Graph Instruction Tuning for Large Language Models
Graph Neural Networks (GNNs) have evolved to understand graph structures through recursive exchanges and aggregations among nodes. To enhance robustness, self-supervised learning (SSL) has become a vital tool for data augmentation.
Cheng, Suqi +7 more
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On the Robustness of Lexicase Selection to Contradictory Objectives
Lexicase and epsilon-lexicase selection are state of the art parent selection techniques for problems featuring multiple selection criteria. Originally, lexicase selection was developed for cases where these selection criteria are unlikely to be in ...
Dolson, Emily, Shahbandegan, Shakiba
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Evolution-Bootstrapped Simulation: Artificial or Human Intelligence: Which Came First?
Humans have created artificial intelligence (AI), not the other way around. This statement is deceptively obvious. In this note, we decided to challenge this statement as a small, lighthearted Gedankenexperiment.
Bilokon, Paul Alexander
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Colony-Enhanced Recurrent Neural Architecture Search: Collaborative Ant-Based Optimization
Crafting neural network architectures manually is a formidable challenge often leading to suboptimal and inefficient structures. The pursuit of the perfect neural configuration is a complex task, prompting the need for a metaheuristic approach such as ...
Elsaid, Abdelrahman
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Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks
In the present article, we propose a paradigm shift on evolving Artificial Neural Networks (ANNs) towards a new bio-inspired design that is grounded on the structural properties, interactions, and dynamics of protein networks (PNs): the Artificial ...
Arapakis, Ioannis +4 more
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Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE
Adversarial examples, designed to trick Artificial Neural Networks (ANNs) into producing wrong outputs, highlight vulnerabilities in these models. Exploring these weaknesses is crucial for developing defenses, and so, we propose a method to assess the ...
Antunes, Nuno +2 more
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