Zobrazeno 1 - 10
of 12 074
pro vyhledávání: '"Hatami, A."'
Autor:
Hatami, Parisa, Annan, Richard, Miranda, Luis Urias, Gorman, Jane, Xie, Mengjun, Qingge, Letu, Qin, Hong
Identifying mutations of SARS-CoV-2 strains associated with their phenotypic changes is critical for pandemic prediction and prevention. We compared an explainable convolutional neural network (CNN) and the traditional genome-wide association study (
Externí odkaz:
http://arxiv.org/abs/2410.22452
The sum of the absolute values of the Fourier coefficients of a function $f:\mathbb{F}_2^n \to \mathbb{R}$ is called the spectral norm of $f$. Green and Sanders' quantitative version of Cohen's idempotent theorem states that if the spectral norm of $
Externí odkaz:
http://arxiv.org/abs/2409.10634
Every known communication problem whose randomized communication cost is constant (independent of the input size) can be reduced to $k$-Hamming Distance, that is, solved with a constant number of deterministic queries to some $k$-Hamming Distance ora
Externí odkaz:
http://arxiv.org/abs/2407.20204
In the field of single image super-resolution (SISR), transformer-based models, have demonstrated significant advancements. However, the potential and efficiency of these models in applied fields such as real-world image super-resolution have been le
Externí odkaz:
http://arxiv.org/abs/2406.13815
Autor:
Hatami, Faranak
Materials subjected to neutron irradiation experience damage due to displacement cascades triggered by nuclear reactions. This paper presents a practical method to calculate primary atomic recoil events (PKAs), which lead to cascade damage, based on
Externí odkaz:
http://arxiv.org/abs/2406.08438
Autor:
Heidari, Moein, Kolahi, Sina Ghorbani, Karimijafarbigloo, Sanaz, Azad, Bobby, Bozorgpour, Afshin, Hatami, Soheila, Azad, Reza, Diba, Ali, Bagci, Ulas, Merhof, Dorit, Hacihaliloglu, Ilker
Sequence modeling plays a vital role across various domains, with recurrent neural networks being historically the predominant method of performing these tasks. However, the emergence of transformers has altered this paradigm due to their superior pe
Externí odkaz:
http://arxiv.org/abs/2406.03430
Autor:
Hatami, Hamed, Hatami, Pooya
Several theorems and conjectures in communication complexity state or speculate that the complexity of a matrix in a given communication model is controlled by a related analytic or algebraic matrix parameter, e.g., rank, sign-rank, discrepancy, etc.
Externí odkaz:
http://arxiv.org/abs/2401.14623
For $S\subseteq \mathbb{F}^n$, consider the linear space of restrictions of degree-$d$ polynomials to $S$. The Hilbert function of $S$, denoted $\mathrm{h}_S(d,\mathbb{F})$, is the dimension of this space. We obtain a tight lower bound on the smalles
Externí odkaz:
http://arxiv.org/abs/2405.10277
We prove that the class of communication problems with public-coin randomized constant-cost protocols, called $BPP^0$, does not contain a complete problem. In other words, there is no randomized constant-cost problem $Q \in BPP^0$, such that all othe
Externí odkaz:
http://arxiv.org/abs/2404.00812
Autor:
de la Rosa, Ezequiel, Reyes, Mauricio, Liew, Sook-Lei, Hutton, Alexandre, Wiest, Roland, Kaesmacher, Johannes, Hanning, Uta, Hakim, Arsany, Zubal, Richard, Valenzuela, Waldo, Robben, David, Sima, Diana M., Anania, Vincenzo, Brys, Arne, Meakin, James A., Mickan, Anne, Broocks, Gabriel, Heitkamp, Christian, Gao, Shengbo, Liang, Kongming, Zhang, Ziji, Siddiquee, Md Mahfuzur Rahman, Myronenko, Andriy, Ashtari, Pooya, Van Huffel, Sabine, Jeong, Hyun-su, Yoon, Chi-ho, Kim, Chulhong, Huo, Jiayu, Ourselin, Sebastien, Sparks, Rachel, Clèrigues, Albert, Oliver, Arnau, Lladó, Xavier, Chalcroft, Liam, Pappas, Ioannis, Bertels, Jeroen, Heylen, Ewout, Moreau, Juliette, Hatami, Nima, Frindel, Carole, Qayyum, Abdul, Mazher, Moona, Puig, Domenec, Lin, Shao-Chieh, Juan, Chun-Jung, Hu, Tianxi, Boone, Lyndon, Goubran, Maged, Liu, Yi-Jui, Wegener, Susanne, Kofler, Florian, Ezhov, Ivan, Shit, Suprosanna, Petzsche, Moritz R. Hernandez, Menze, Bjoern, Kirschke, Jan S., Wiestler, Benedikt
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable AI algorithms with clinical value. We address this gap by presenting a
Externí odkaz:
http://arxiv.org/abs/2403.19425