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of 27 535
pro vyhledávání: '"A., Fanelli"'
The main mathematical manifestation of the Stark effect in quantum mechanics is the shift and the formation of clusters of eigenvalues when a spherical Hamiltonian is perturbed by lower order terms. Understanding this mechanism turned out to be funda
Externí odkaz:
http://arxiv.org/abs/2412.04406
Inpainting focuses on filling missing or corrupted regions of an image to blend seamlessly with its surrounding content and style. While conditional diffusion models have proven effective for text-guided inpainting, we introduce the novel task of mul
Externí odkaz:
http://arxiv.org/abs/2411.19050
Autor:
Fanelli, Luca, Pizzichillo, Fabio
In this paper, we prove a sharp, weighted Hardy-type inequality for the Dirac operator. A key feature of our result is that the inequality is not only sharp but also attained, and we construct explicit minimizers that satisfy the equality case. This
Externí odkaz:
http://arxiv.org/abs/2411.07789
Autor:
Omar, Mohamed, Fanelli, Giuseppe Nicolo, Socciarelli, Fabio, Ullanat, Varun, Puchala, Sreekar Reddy, Wen, James, Chowdhury, Alex, Valencia, Itzel, Scatena, Cristian, Marchionni, Luigi, Umeton, Renato, Loda, Massimo
Conventional histopathology has long been essential for disease diagnosis, relying on visual inspection of tissue sections. Immunohistochemistry aids in detecting specific biomarkers but is limited by its single-marker approach, restricting its abili
Externí odkaz:
http://arxiv.org/abs/2411.00948
The distribution of urban services reveals critical patterns of human activity and accessibility. Proximity to amenities like restaurants, banks, and hospitals can reduce access barriers, but these services are often unevenly distributed, exacerbatin
Externí odkaz:
http://arxiv.org/abs/2410.21133
Artificial Intelligence and generative models have revolutionized music creation, with many models leveraging textual or visual prompts for guidance. However, existing image-to-music models are limited to simple images, lacking the capability to gene
Externí odkaz:
http://arxiv.org/abs/2410.04906
Autor:
Giroux, James, Fanelli, Cristiano
We introduce the first method of uncertainty quantification in the domain of Kolmogorov-Arnold Networks, specifically focusing on (Higher Order) ReLUKANs to enhance computational efficiency given the computational demands of Bayesian methods. The met
Externí odkaz:
http://arxiv.org/abs/2410.01687
The dataset collected at the Cape Rodney-Okakari Point Marine (CR-OPM) reserve on the North Island of New Zealand is rather unique. It describes the cyclic time evolution of a rocky intertidal community, with the relative abundances of the various co
Externí odkaz:
http://arxiv.org/abs/2409.19378
Autor:
Pybus, J. R., Ehinger, L., Kolar, T., Devkota, B., Sharp, P., Yu, B., Dalton, M. M., Dutta, D., Gao, H., Hen, O., Piasetzky, E., Santiesteban, S. N., Schmidt, A., Somov, A., Szumila-Vance, H., Adhikari, S., Asaturyan, A., Austregesilo, A., Gayoso, C. Ayerbe, Barlow, J., Berdnikov, V. V., Bhatt, H. D., Bhetuwal, Deepak, Black, T., Briscoe, W. J., Chung, G., Cole, P. L., Deur, A., Dotel, R., Egiyan, H., Eugenio, P., Fanelli, C., Gan, L., Gasparian, A., Guo, J., Hernandez, K., Higinbotham, D. W., Hurck, P., Jaegle, I., Jones, R. T., Kakoyan, V., Karki, A., Li, H., Li, W. B., Linera, G. R., Lyubovitskij, V., Marukyan, H., McCaughan, M. D., McCracken, M., Mizutani, K., Nguyen, D., Oresic, S., Ostrovidov, A. I., Papandreou, Z., Paudel, C., Peters, K., Ritman, J., Schick, A., Schwiening, J., Smith, A., Somov, S., Strakovsky, I., Suresh, K., Tarasov, V. V., Taylor, S., Xiao, T., Zhang, Z., Zhou, X.
We report on the first measurement of $J/\psi$ photoproduction from nuclei in the photon energy range of $7$ to $10.8$ GeV, extending above and below the photoproduction threshold in the free proton of $\sim8.2$ GeV. The experiment used a tagged phot
Externí odkaz:
http://arxiv.org/abs/2409.18463
We consider the subcritical nonlinear Schr\"odinger (NLS) in dimension one posed on the unbounded real line. Several previous works have considered the deep neural network approximation of NLS solutions from the numerical and theoretical point of vie
Externí odkaz:
http://arxiv.org/abs/2409.17938