Zobrazeno 1 - 10
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pro vyhledávání: '"Bello OF"'
Collisionless cross-field electron transport in an E x B configuration relevant for electric propulsion is studied using data from a (z, {\theta}) full-PIC simulation. Higher-order spectral analysis shows that transport is dominated by the in-phase i
Externí odkaz:
http://arxiv.org/abs/2412.19789
Autor:
Rathcke, Alexander D., Buchhave, Lars A., De Wit, Julien, Rackham, Benjamin V., August, Prune C., Diamond-Lowe, Hannah, Mendonça, João M., Bello-Arufe, Aaron, López-Morales, Mercedes, Kitzmann, Daniel, Heng, Kevin
Stellar surface heterogeneities, such as spots and faculae, often contaminate exoplanet transit spectra, hindering precise atmospheric characterization. We demonstrate a novel, epoch-based, model-independent method to mitigate stellar contamination,
Externí odkaz:
http://arxiv.org/abs/2412.16541
Autor:
Park, Jongmin, Bui, Minh-Quan Viet, Bello, Juan Luis Gonzalez, Moon, Jaeho, Oh, Jihyong, Kim, Munchurl
Synthesizing novel views from in-the-wild monocular videos is challenging due to scene dynamics and the lack of multi-view cues. To address this, we propose SplineGS, a COLMAP-free dynamic 3D Gaussian Splatting (3DGS) framework for high-quality recon
Externí odkaz:
http://arxiv.org/abs/2412.09982
Publikováno v:
Mathematics 2020, 8, 1181
In risk theory, financial asset returns often follow heavy-tailed distributions. Investors and risk managers used to compare risk measures as the value at risk or tail value at risk in order over the whole confidence levels to avoid the exposure to t
Externí odkaz:
http://arxiv.org/abs/2412.08440
Autor:
Iskarous, Mark M., Chaudhry, Zan, Li, Fangjie, Bello, Samuel, Sankar, Sriramana, Slepyan, Ariel, Chugh, Natasha, Hunt, Christopher L., Greene, Rebecca J., Thakor, Nitish V.
Humans have an exquisite sense of touch which robotic and prosthetic systems aim to recreate. We developed algorithms to create neuron-like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force a
Externí odkaz:
http://arxiv.org/abs/2411.17060
Autor:
Reichardt, Ben W., Paetznick, Adam, Aasen, David, Basov, Ivan, Bello-Rivas, Juan M., Bonderson, Parsa, Chao, Rui, van Dam, Wim, Hastings, Matthew B., Paz, Andres, da Silva, Marcus P., Sundaram, Aarthi, Svore, Krysta M., Vaschillo, Alexander, Wang, Zhenghan, Zanner, Matt, Cairncross, William B., Chen, Cheng-An, Crow, Daniel, Kim, Hyosub, Kindem, Jonathan M., King, Jonathan, McDonald, Michael, Norcia, Matthew A., Ryou, Albert, Stone, Mark, Wadleigh, Laura, Barnes, Katrina, Battaglino, Peter, Bohdanowicz, Thomas C., Booth, Graham, Brown, Andrew, Brown, Mark O., Cassella, Kayleigh, Coxe, Robin, Epstein, Jeffrey M., Feldkamp, Max, Griger, Christopher, Halperin, Eli, Heinz, Andre, Hummel, Frederic, Jaffe, Matthew, Jones, Antonia M. W., Kapit, Eliot, Kotru, Krish, Lauigan, Joseph, Li, Ming, Marjanovic, Jan, Megidish, Eli, Meredith, Matthew, Morshead, Ryan, Muniz, Juan A., Narayanaswami, Sandeep, Nishiguchi, Ciro, Paule, Timothy, Pawlak, Kelly A., Pudenz, Kristen L., Pérez, David Rodríguez, Simon, Jon, Smull, Aaron, Stack, Daniel, Urbanek, Miroslav, van de Veerdonk, René J. M., Vendeiro, Zachary, Weverka, Robert T., Wilkason, Thomas, Wu, Tsung-Yao, Xie, Xin, Zalys-Geller, Evan, Zhang, Xiaogang, Bloom, Benjamin J.
Transitioning from quantum computation on physical qubits to quantum computation on encoded, logical qubits can improve the error rate of operations, and will be essential for realizing valuable quantum computational advantages. Using a neutral atom
Externí odkaz:
http://arxiv.org/abs/2411.11822
Autor:
Ansorena, José L., Bello, Glenier
We prove that for $1\le p,q\le\infty$ the mixed-norm spaces $L_q(L_p)$ are mutually non-isomorphic, with the only exception that $L_q(L_2)$ is isomorphic to $L_q(L_q)$ for all $1
Externí odkaz:
http://arxiv.org/abs/2411.10576
Self-supervised learning (SSL) offers a powerful way to learn robust, generalizable representations without labeled data. In music, where labeled data is scarce, existing SSL methods typically use generated supervision and multi-view redundancy to cr
Externí odkaz:
http://arxiv.org/abs/2411.02711
We consider the linear causal representation learning setting where we observe a linear mixing of $d$ unknown latent factors, which follow a linear structural causal model. Recent work has shown that it is possible to recover the latent factors as we
Externí odkaz:
http://arxiv.org/abs/2410.24059
Autor:
Kakati, Nilotpal, Dreyer, Etienne, Ivina, Anna, Di Bello, Francesco Armando, Heinrich, Lukas, Kado, Marumi, Gross, Eilam
In high energy physics, the ability to reconstruct particles based on their detector signatures is essential for downstream data analyses. A particle reconstruction algorithm based on learning hypergraphs (HGPflow) has previously been explored in the
Externí odkaz:
http://arxiv.org/abs/2410.23236