Zobrazeno 1 - 10
of 6 180
pro vyhledávání: '"Muni, A"'
Recent research has explored the memorization capacity of multi-head attention, but these findings are constrained by unrealistic limitations on the context size. We present a novel proof for language-based Transformers that extends the current hypot
Externí odkaz:
http://arxiv.org/abs/2411.10115
We present numerical results for the effects of influence by high-amplitude periodic pulse series on a network of nonlocally coupled Hindmarsh-Rose neurons with 2D geometry of the topology. We consider the case when the pulse amplitude is larger than
Externí odkaz:
http://arxiv.org/abs/2411.02130
Performative learning addresses the increasingly pervasive situations in which algorithmic decisions may induce changes in the data distribution as a consequence of their public deployment. We propose a novel view in which these performative effects
Externí odkaz:
http://arxiv.org/abs/2411.02023
Recent studies have shown that chaotic maps are well-suited for applications requiring unpredictable behaviour, making them a valuable tool for enhancing unpredictability and complexity. A method is developed using 3D parametric equations to make bou
Externí odkaz:
http://arxiv.org/abs/2410.05215
Autor:
Muni, Sishu Shankar
In this study, we investigate the occurrence of a three-frequency quasiperiodic torus in a three-dimensional Lotka-Volterra map. Our analysis extends to the observation of a doubling bifurcation of a closed invariant curve, leading to a subsequent tr
Externí odkaz:
http://arxiv.org/abs/2408.15054
Autor:
Muni, Claudia, Pontzen, Andrew, Read, Justin I., Agertz, Oscar, Rey, Martin P., Taylor, Ethan
We study feedback-driven cold dark matter core creation in the EDGE suite of radiation-hydrodynamical dwarf galaxy simulations. Understanding this process is crucial when using observed dwarf galaxies to constrain the particle nature of dark matter.
Externí odkaz:
http://arxiv.org/abs/2407.14579
We derive, and validate numerically, an analytical model for electron-only magnetic reconnection applicable to strongly magnetized (low-beta) plasmas. Our model predicts sub-ion-scale reconnection rates significantly higher than those pertaining to l
Externí odkaz:
http://arxiv.org/abs/2407.06020
This paper explores the prediction of the dynamics of piecewise smooth maps using various deep learning models. We have shown various novel ways of predicting the dynamics of piecewise smooth maps using deep learning models. Moreover, we have used ma
Externí odkaz:
http://arxiv.org/abs/2406.17001
In this paper, we introduce a novel image encryption and decryption algorithm using hyperchaotic signals from the novel 3D hyperchaotic map, 2D memristor map, Convolutional Neural Network (CNN), and key sensitivity analysis to achieve robust security
Externí odkaz:
http://arxiv.org/abs/2406.16792
Autor:
Muni, Sishu Shankar
This paper deals with various routes to hyperchaos with all three positive Lyapunov exponents in a three-dimensional quadratic map. The map under consideration displays strong hyperchaoticity in the sense that in a wider range of parameter space the
Externí odkaz:
http://arxiv.org/abs/2406.08317