Zobrazeno 1 - 10
of 27 475
pro vyhledávání: '"P Radu"'
Autor:
Cornean, Horia D., Purice, Radu
We continue the study of the perturbation problem discussed in \cite{CP3} and get rid of the 'slow variation' assumption by considering symbols of the form $a\big(x+\delta\,F(x),\xi\big)$ with $a$ a real H\"{o}rmander symbol of class $S^0_{0,0}(\math
Externí odkaz:
http://arxiv.org/abs/2411.14824
We consider periodic (pseudo)differential {elliptic operators of Schr\"odinger type} perturbed by weak magnetic fields not vanishing at infinity, and extend our previous analysis in \cite{CIP,CHP-2,CHP-4} to the case {of a semimetal having a finite f
Externí odkaz:
http://arxiv.org/abs/2411.14171
Current deep learning approaches in computer vision primarily focus on RGB data sacrificing information. In contrast, RAW images offer richer representation, which is crucial for precise recognition, particularly in challenging conditions like low-li
Externí odkaz:
http://arxiv.org/abs/2411.13150
Autor:
Slobodeanu, Radu, Speight, Martin
A Skyrme type energy functional for maps $\varphi$ from an oriented Riemannian 3-manifold $M$ to a contact 3-manifold $N$ is defined, generalizing the BPS Skyrme energy of Ferreira and Zakrzewski. This energy has a topological lower bound, attained b
Externí odkaz:
http://arxiv.org/abs/2411.09649
Physical reasoning is an important skill needed for robotic agents when operating in the real world. However, solving such reasoning problems often involves hypothesizing and reflecting over complex multi-body interactions under the effect of a multi
Externí odkaz:
http://arxiv.org/abs/2411.08027
Autor:
Siddiqui, Nyle, Croitoru, Florinel Alin, Nayak, Gaurav Kumar, Ionescu, Radu Tudor, Shah, Mubarak
With the recent exhibited strength of generative diffusion models, an open research question is \textit{if images generated by these models can be used to learn better visual representations}. While this generative data expansion may suffice for easi
Externí odkaz:
http://arxiv.org/abs/2411.07205
Catastrophic forgetting is a significant challenge in online continual learning (OCL), especially for non-stationary data streams that do not have well-defined task boundaries. This challenge is exacerbated by the memory constraints and privacy conce
Externí odkaz:
http://arxiv.org/abs/2411.05663
This paper investigates, via methods from the theory of probability on trees, critical phenomena in stochastic cascade models of Yule type, and applies these methods to the problem of uniqueness and nonuniqueness of solutions of particular mean flow
Externí odkaz:
http://arxiv.org/abs/2411.00629
This paper presents the design and evolution of the RELATE platform. It provides a high-performance environment for natural language processing activities, specially constructed for Romanian language. Initially developed for text processing, it has b
Externí odkaz:
http://arxiv.org/abs/2410.21778
We propose a novel teacher-student framework to distill knowledge from multiple teachers trained on distinct datasets. Each teacher is first trained from scratch on its own dataset. Then, the teachers are combined into a joint architecture, which fus
Externí odkaz:
http://arxiv.org/abs/2410.22184