Zobrazeno 21 - 30
of 220 208
pro vyhledávání: '"Fritz, A."'
Autor:
Gajović, L., Adebahr, B., Basu, A., Heesen, V., Brüggen, M., de Gasperin, F., Lara-Lopez, M. A., Oonk, J. B. R., Edler, H. W., Bomans, D. J., Paladino, R., Garduño, L. E., López-Cruz, O., Stein, M., Fritz, J., Piotrowska, J., Sinha, A.
Radio continuum emission from galaxies at gigahertz frequencies can be used as an extinction-free tracer of star formation. However, at frequencies of a few hundred megahertz, there is evidence for low-frequency spectral flattening. We wish to better
Externí odkaz:
http://arxiv.org/abs/2406.06689
The presence of young massive stars in the Galactic Centre (GC) raises questions about star formation near the black hole Sagittarius A* (Sgr A*). Additionally, the initial mass function (IMF) in this region appears different from the standard Salpet
Externí odkaz:
http://arxiv.org/abs/2406.04166
Autor:
Gölz, Thorsten, Baù, Enrico, Zhang, Jinhua, Kaltenecker, Korbinian, Trauner, Dirk, Maier, Stefan A., Keilmann, Fritz, Lohmüller, Theobald, Tittl, Andreas
Understanding the biophysical and biochemical properties of molecular nanocarriers under physiological conditions and with minimal interference is crucial for advancing nanomedicine, photopharmacology, drug delivery, nanotheranostics and synthetic bi
Externí odkaz:
http://arxiv.org/abs/2406.02513
SoftMax is a ubiquitous ingredient of modern machine learning algorithms. It maps an input vector onto a probability simplex and reweights the input by concentrating the probability mass at large entries. Yet, as a smooth approximation to the Argmax
Externí odkaz:
http://arxiv.org/abs/2406.01189
Autor:
Garcia-Fritz, Natalia, Pasten, Hector
Given a complex projective algebraic variety $X$ we define $ h(X)$ as the largest $n$ such that the $n$-th symmetric power of $X$ is (Brody) hyperbolic. Using Nevanlinna theory for algebroid maps, we give non-trivial lower bounds for $ h(X)$. From an
Externí odkaz:
http://arxiv.org/abs/2406.00835
Autor:
Abdelnabi, Sahar, Fay, Aideen, Cherubin, Giovanni, Salem, Ahmed, Fritz, Mario, Paverd, Andrew
Large Language Models (LLMs) are routinely used in retrieval-augmented applications to orchestrate tasks and process inputs from users and other sources. These inputs, even in a single LLM interaction, can come from a variety of sources, of varying t
Externí odkaz:
http://arxiv.org/abs/2406.00799
Autor:
Reyes-Amador, Omar Ulises, Fritz, Jacopo, González-Martín, Omaira, Srinivasan, Sundar, Baes, Maarten, Lopez-Rodriguez, Enrique, Osorio-Clavijo, Natalia, Victoria-Ceballos, Cesar Iván, Stalevski, Marko, Almeida, C. Ramos
Spectral energy distribution (SED) fitting is one of most commonly used techniques to study the dust properties in Active Galactic Nuclei (AGN). Works implementing this technique commonly use radiative transfer models that assume a variety of dust pr
Externí odkaz:
http://arxiv.org/abs/2405.08960
Deep reinforcement learning policies, which are integral to modern control systems, represent valuable intellectual property. The development of these policies demands considerable resources, such as domain expertise, simulation fidelity, and real-wo
Externí odkaz:
http://arxiv.org/abs/2405.07004
Autor:
Kook, Lucas, Kolb, Chris, Schiele, Philipp, Dold, Daniel, Arpogaus, Marcel, Fritz, Cornelius, Baumann, Philipp F., Kopper, Philipp, Pielok, Tobias, Dorigatti, Emilio, Rügamer, David
Neural network representations of simple models, such as linear regression, are being studied increasingly to better understand the underlying principles of deep learning algorithms. However, neural representations of distributional regression models
Externí odkaz:
http://arxiv.org/abs/2405.05429
Autor:
Gill, Erin E., Jia, Baofeng, Murall, Carmen Lia, Poujol, Raphaël, Anwar, Muhammad Zohaib, John, Nithu Sara, Richardsson, Justin, Hobb, Ashley, Olabode, Abayomi S., Lepsa, Alexandru, Duggan, Ana T., Tyler, Andrea D., N'Guessan, Arnaud, Kachru, Atul, Chan, Brandon, Yoshida, Catherine, Yung, Christina K., Bujold, David, Andric, Dusan, Su, Edmund, Griffiths, Emma J., Van Domselaar, Gary, Jolly, Gordon W., Ward, Heather K. E., Feher, Henrich, Baker, Jared, Simpson, Jared T., Uddin, Jaser, Ragoussis, Jiannis, Eubank, Jon, Fritz, Jörg H., Gálvez, José Héctor, Fang, Karen, Cullion, Kim, Rivera, Leonardo, Xiang, Linda, Croxen, Matthew A., Shiell, Mitchell, Prystajecky, Natalie, Quirion, Pierre-Olivier, Bajari, Rosita, Rich, Samantha, Mubareka, Samira, Moreira, Sandrine, Cain, Scott, Sutcliffe, Steven G., Kraemer, Susanne A., Joly, Yann, Alturmessov, Yelizar, consortium, CPHLN, consortium, CanCOGeN, Academic, VirusSeq Data Portal, network, Health, Fiume, Marc, Snutch, Terrance P., Bell, Cindy, Lopez-Correa, Catalina, Hussin, Julie G., Joy, Jeffrey B., Colijn, Caroline, Gordon, Paul M. K., Hsiao, William W. L., Poon, Art F. Y., Knox, Natalie C., Courtot, Mélanie, Stein, Lincoln, Otto, Sarah P., Bourque, Guillaume, Shapiro, B. Jesse, Brinkman, Fiona S. L.
The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response. Millions of SARS-CoV-2 genome sequences have been deposited in global public repositori
Externí odkaz:
http://arxiv.org/abs/2405.04734