Zobrazeno 1 - 10
of 3 963
pro vyhledávání: '"Schwarting A."'
Reinforcement Learning (RL) for control has become increasingly popular due to its ability to learn rich feedback policies that take into account uncertainty and complex representations of the environment. When considering safety constraints, constra
Externí odkaz:
http://arxiv.org/abs/2405.11669
Recent reinforcement learning approaches have shown surprisingly strong capabilities of bang-bang policies for solving continuous control benchmarks. The underlying coarse action space discretizations often yield favourable exploration characteristic
Externí odkaz:
http://arxiv.org/abs/2404.04253
Autor:
Schwarting, Marcus, Seifert, Nathan A., Davis, Michael J., Blaiszik, Ben, Foster, Ian, Prozument, Kirill
Rotational spectroscopy is the most accurate method for determining structures of molecules in the gas phase. It is often assumed that a rotational spectrum is a unique "fingerprint" of a molecule. The availability of large molecular databases and th
Externí odkaz:
http://arxiv.org/abs/2404.04225
Autor:
Schwarting, Julian, Holzberger, Fabian, Muhr, Markus, Renz, Martin, Boeckh-Behrens, Tobias, Wohlmuth, Barbara, Kirschke, Jan
Rupture of intracranial aneurysms results in severe subarachnoidal hemorrhage, which is associated with high morbidity and mortality. Neurointerventional occlusion of the aneurysm through coiling has evolved to a therapeutical standard. The choice of
Externí odkaz:
http://arxiv.org/abs/2403.06889
Autor:
Frank, Martin, Holzberger, Fabian, Horvat, Medeea, Kirschke, Jan, Mayr, Matthias, Muhr, Markus, Nebulishvili, Natalia, Popp, Alexander, Schwarting, Julian, Wohlmuth, Barbara
Predicting the long-term success of endovascular interventions in the clinical management of cerebral aneurysms requires detailed insight into the patient-specific physiological conditions. In this work, we not only propose numerical representations
Externí odkaz:
http://arxiv.org/abs/2402.00550
Scene flow estimation is a crucial component in the development of autonomous driving and 3D robotics, providing valuable information for environment perception and navigation. Despite the advantages of learning-based scene flow estimation techniques
Externí odkaz:
http://arxiv.org/abs/2401.02550
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-10 (2024)
Abstract Objectives The aims of this study were to suggest patient-adjusted optical spectral transmission (OST) cut-off values for the first time and to develop clinical models that predict the probability of an early rheumatoid arthritis (RA) diagno
Externí odkaz:
https://doaj.org/article/a3c34836f18442aaa08a8e93a8d0274a
Autor:
Waldmannstetter, Diana, Ezhov, Ivan, Wiestler, Benedikt, Campi, Francesco, Kukuljan, Ivan, Ehrlich, Stefan, Vinayahalingam, Shankeeth, Baheti, Bhakti, Chakrabarty, Satrajit, Baid, Ujjwal, Bakas, Spyridon, Schwarting, Julian, Metz, Marie, Kirschke, Jan S., Rueckert, Daniel, Heckemann, Rolf A., Piraud, Marie, Menze, Bjoern H., Kofler, Florian
Accurate image registration is pivotal in biomedical image analysis, where selecting suitable registration algorithms demands careful consideration. While numerous algorithms are available, the evaluation metrics to assess their performance have rema
Externí odkaz:
http://arxiv.org/abs/2308.01318
Autor:
Jablonka, Kevin Maik, Ai, Qianxiang, Al-Feghali, Alexander, Badhwar, Shruti, Bocarsly, Joshua D., Bran, Andres M, Bringuier, Stefan, Brinson, L. Catherine, Choudhary, Kamal, Circi, Defne, Cox, Sam, de Jong, Wibe A., Evans, Matthew L., Gastellu, Nicolas, Genzling, Jerome, Gil, María Victoria, Gupta, Ankur K., Hong, Zhi, Imran, Alishba, Kruschwitz, Sabine, Labarre, Anne, Lála, Jakub, Liu, Tao, Ma, Steven, Majumdar, Sauradeep, Merz, Garrett W., Moitessier, Nicolas, Moubarak, Elias, Mouriño, Beatriz, Pelkie, Brenden, Pieler, Michael, Ramos, Mayk Caldas, Ranković, Bojana, Rodriques, Samuel G., Sanders, Jacob N., Schwaller, Philippe, Schwarting, Marcus, Shi, Jiale, Smit, Berend, Smith, Ben E., Van Herck, Joren, Völker, Christoph, Ward, Logan, Warren, Sean, Weiser, Benjamin, Zhang, Sylvester, Zhang, Xiaoqi, Zia, Ghezal Ahmad, Scourtas, Aristana, Schmidt, KJ, Foster, Ian, White, Andrew D., Blaiszik, Ben
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article c
Externí odkaz:
http://arxiv.org/abs/2306.06283
Autor:
Akerman, Vesa, Baines, David, Daspit, Damien, Hermjakob, Ulf, Jang, Taeho, Leong, Colin, Martin, Michael, Mathew, Joel, Robie, Jonathan, Schwarting, Marcus
Efficiently and accurately translating a corpus into a low-resource language remains a challenge, regardless of the strategies employed, whether manual, automated, or a combination of the two. Many Christian organizations are dedicated to the task of
Externí odkaz:
http://arxiv.org/abs/2304.09919