Abstract: Controlling nonlinear systems is challenging, especially when data are used to address model uncertainties. By contrast, linear systems are well understood. Thus, a common strategy is to ...
Diffusion Transformers (DiT) have become a leading architecture in image generation. However, the quadratic complexity of attention mechanisms, which are responsible for modeling token-wise ...
State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China Engineering Research Center of Functional Materials ...
From the discovery of gravity to the first mission to defend Earth from an asteroid, here are the most important physics experiments that changed the world. When you purchase through links on our site ...
The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally ...
This repository contains the problem instances and source code used in the article Recursive McCormick Linearization of Multilinear Programs, authored by David Bergman, Carlos Cardonha, Arvind U.
Abstract: Recently, new emerging techniques of neuromorphic hardware render spiking neuron networks (SNN) promising as an energy-efficient solution for artificial intelligence (AI). With the idea of ...
ABSTRACT: This paper investigates a real version of a (2 + 1) dimensional nonlinear Schr?dinger equation through adoption of Painlevé test by means of which the (2 + 1) dimensional nonlinear ...
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