Zobrazeno 1 - 10
of 32 063
pro vyhledávání: '"Evolutionary Computing"'
Reservoir computing - information processing based on untrained recurrent neural networks with random connections - is expected to depend on the nonlinear properties of the neurons and the resulting oscillatory, chaotic, or fixpoint dynamics of the n
Externí odkaz:
http://arxiv.org/abs/2411.10047
The NSGA-II is the most prominent multi-objective evolutionary algorithm (cited more than 50,000 times). Very recently, a mathematical runtime analysis has proven that this algorithm can have enormous difficulties when the number of objectives is lar
Externí odkaz:
http://arxiv.org/abs/2411.10017
Levels of selection and multilevel evolutionary processes are essential concepts in evolutionary theory, and yet there is a lack of common mathematical models for these core ideas. Here, we propose a unified mathematical framework for formulating and
Externí odkaz:
http://arxiv.org/abs/2411.09779
Conventional wisdom suggests that pre-training Vision Transformers (ViT) improves downstream performance by learning useful representations. Is this actually true? We investigate this question and find that the features and representations learned du
Externí odkaz:
http://arxiv.org/abs/2411.09702
Autor:
Bhatt, Ahan, Vaghela, Nandan
This paper introduces Med-Bot, an AI-powered chatbot designed to provide users with accurate and reliable medical information. Utilizing advanced libraries and frameworks such as PyTorch, Chromadb, Langchain and Autogptq, Med-Bot is built to handle t
Externí odkaz:
http://arxiv.org/abs/2411.09648
With the rapid advancement of large language models (LLMs), foundational models (FMs) have seen significant advancements. Healthcare is one of the most crucial application areas for these FMs, given the significant time and effort required for physic
Externí odkaz:
http://arxiv.org/abs/2411.09933
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
This work focuses on the gradient flow dynamics of a neural network model that uses correlation loss to approximate a multi-index function on high-dimensional standard Gaussian data. Specifically, the multi-index function we consider is a sum of neur
Externí odkaz:
http://arxiv.org/abs/2411.08798
Deep neural networks have achieved remarkable success in diverse applications, prompting the need for a solid theoretical foundation. Recent research has identified the minimal width $\max\{2,d_x,d_y\}$ required for neural networks with input dimensi
Externí odkaz:
http://arxiv.org/abs/2411.08735
Printed electronics technology offers a cost-effectiveand fully-customizable solution to computational needs beyondthe capabilities of traditional silicon technologies, offering ad-vantages such as on-demand manufacturing and conformal, low-cost hard
Externí odkaz:
http://arxiv.org/abs/2411.08674
Solving constrained multi-objective optimization problems (CMOPs) is a challenging task. While many practical algorithms have been developed to tackle CMOPs, real-world scenarios often present cases where the constraint functions are unknown or unqua
Externí odkaz:
http://arxiv.org/abs/2411.08437