Zobrazeno 1 - 10
of 9 018
pro vyhledávání: '"Kiani, P."'
Image inpainting, the process of restoring missing or corrupted regions of an image by reconstructing pixel information, has recently seen considerable advancements through deep learning-based approaches. In this paper, we introduce a novel deep lear
Externí odkaz:
http://arxiv.org/abs/2411.05705
Preparing thermal (Gibbs) states is a common task in physics and computer science. Recent algorithms mimic cooling via system-bath coupling, where the cost is determined by mixing time, akin to classical Metropolis-like algorithms. However, few metho
Externí odkaz:
http://arxiv.org/abs/2411.04300
Autor:
Klemm, Mason L., Siddique, Saif, Chang, Yuan-Chun, Xu, Sijie, Xie, Yaofeng, Legvold, Tanner, Kiani, Mehrdad T., Ye, Feng, Cao, Huibo, Hao, Yiqing, Tian, Wei, Luetkens, Hubertus, Matsuda, Masaaki, Natelson, Douglas, Guguchia, Zurab, Huang, Chien-Lung, Yi, Ming, Cha, Judy J., Dai, Pengcheng
Two-dimensional (2D) kagome lattice metals are interesting because they display flat electronic bands, Dirac points, Van Hove singularities, and can have interplay between charge density wave (CDW), magnetic order, and superconductivity. In kagome la
Externí odkaz:
http://arxiv.org/abs/2410.13994
Data with geometric structure is ubiquitous in machine learning often arising from fundamental symmetries in a domain, such as permutation-invariance in graphs and translation-invariance in images. Group-convolutional architectures, which encode symm
Externí odkaz:
http://arxiv.org/abs/2410.05499
Autor:
Sieveritz, Bianca, Kiani, Roozbeh
Non-sensory thalamic nuclei interact with the cortex through thalamocortical and cortico-basal ganglia-thalamocortical loops. Reciprocal connections between the mediodorsal thalamus (MD) and the prefrontal cortex are particularly important in cogniti
Externí odkaz:
http://arxiv.org/abs/2409.02065
Random spin systems at low temperatures are glassy and feature computational hardness in finding low-energy states. We study the random all-to-all interacting fermionic Sachdev--Ye--Kitaev (SYK) model and prove that, in contrast, (I) the low-energy s
Externí odkaz:
http://arxiv.org/abs/2408.15699
Autor:
Ozelim, Luan, Uthamacumaran, Abicumaran, Abrahão, Felipe S., Hernández-Orozco, Santiago, Kiani, Narsis A., Tegnér, Jesper, Zenil, Hector
We respond to arguments against our criticism that claim to show a divergence of Assembly Theory from popular compression. We have proven that any implementation of the concept of `copy number' underlying Assembly Theory (AT) and its assembly index (
Externí odkaz:
http://arxiv.org/abs/2408.15108
This paper provides a thorough examination of recent developments in the field of multi-choice Machine Reading Comprehension (MRC). Focused on benchmark datasets, methodologies, challenges, and future trajectories, our goal is to offer researchers a
Externí odkaz:
http://arxiv.org/abs/2408.02114
Autor:
Kiani, Fatemeh, Bowman, Alan R., Sabzehparvar, Milad, Sundararaman, Ravishankar, Tagliabue, Giulia
Exploring nonequilibrium hot carriers from plasmonic metal nanostructures is a dynamic field in optoelectronics, driving photochemical reactions such as solar fuel generation. The hot carrier injection mechanism and the reaction rate are highly impac
Externí odkaz:
http://arxiv.org/abs/2407.10808
This paper studies the usefulness of incorporating path information in predicting chemical properties from molecular graphs, in the domain of QSAR (Quantitative Structure-Activity Relationship). Towards this, we developed a GNN-style model which can
Externí odkaz:
http://arxiv.org/abs/2407.14270