Zobrazeno 1 - 10
of 21 323
pro vyhledávání: '"Brendel"'
Autor:
Duquesne Sabine, Brendel Stephan, Hönemann Linda, Konschak Marco, Solé Magali, Wogram Joern, Pieper Silvia
Publikováno v:
Environmental Sciences Europe, Vol 35, Iss 1, Pp 1-15 (2023)
Abstract Background The aim of environmental risk assessment (ERA) for pesticides is to protect ecosystems by ensuring that specific protection goals (SPGs) are met. The ERA follows a prospective tiered approach, starting with the most conservative a
Externí odkaz:
https://doaj.org/article/01fe019f993b4177acb14072a89725b0
Autor:
Brady, Jack, von Kügelgen, Julius, Lachapelle, Sébastien, Buchholz, Simon, Kipf, Thomas, Brendel, Wieland
Learning disentangled representations of concepts and re-composing them in unseen ways is crucial for generalizing to out-of-domain situations. However, the underlying properties of concepts that enable such disentanglement and compositional generali
Externí odkaz:
http://arxiv.org/abs/2411.07784
Autor:
Reizinger, Patrik, Bizeul, Alice, Juhos, Attila, Vogt, Julia E., Balestriero, Randall, Brendel, Wieland, Klindt, David
Supervised learning has become a cornerstone of modern machine learning, yet a comprehensive theory explaining its effectiveness remains elusive. Empirical phenomena, such as neural analogy-making and the linear representation hypothesis, suggest tha
Externí odkaz:
http://arxiv.org/abs/2410.21869
Enhancing speech quality under adverse SNR conditions remains a significant challenge for discriminative deep neural network (DNN)-based approaches. In this work, we propose DisCoGAN, which is a time-frequency-domain generative adversarial network (G
Externí odkaz:
http://arxiv.org/abs/2410.13599
Autor:
Mayilvahanan, Prasanna, Zimmermann, Roland S., Wiedemer, Thaddäus, Rusak, Evgenia, Juhos, Attila, Bethge, Matthias, Brendel, Wieland
Out-of-Domain (OOD) generalization is the ability of a model trained on one or more domains to generalize to unseen domains. In the ImageNet era of computer vision, evaluation sets for measuring a model's OOD performance were designed to be strictly
Externí odkaz:
http://arxiv.org/abs/2410.08258
Digitalization crosses all areas of life (Hess et al. 2014). Recent progress in artificial intelligence (AI) opens new potentials for further developments and improvements, with virtual coaching being a prime example. Virtual coaches (VCs) aim to opt
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A89855
https://tud.qucosa.de/api/qucosa%3A89855/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A89855/attachment/ATT-0/
Autor:
Hawlitschek, Christina, Brendel, Julia, Gabriel, Philipp, Schierle, Katrin, Salameh, Aida, Zimmer, Heinz-Gerd, Rassler, Beate
Background: A major problem in the treatment of human hypertension is the late diagnosis of hypertension and, hence, the delayed start of treatment. Very often, hypertension has existed for a long time and cardiac damage has already developed. Theref
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A90169
https://ul.qucosa.de/api/qucosa%3A90169/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A90169/attachment/ATT-0/
Autor:
Greulich, R. Stefan, Pietrantoni, Nico, Hildebrandt, Fabian, Hommel, Tomy, Morana, Stefan, Brendel, Alfred Benedikt
Der Einsatz von Sprachassistenten (Alltagsbeispiele sind Alexa von Amazon, Siri von Apple oder der Chatbot von Hellofresh) hat auch im Gesundheitswesen Einzug gehalten. Ein aktuelles Beispiel ist der WhatsApp Chatbot der WHO, welcher Nutzer:innen üb
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A89695
https://tud.qucosa.de/api/qucosa%3A89695/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A89695/attachment/ATT-0/
LLMs show remarkable emergent abilities, such as inferring concepts from presumably out-of-distribution prompts, known as in-context learning. Though this success is often attributed to the Transformer architecture, our systematic understanding is li
Externí odkaz:
http://arxiv.org/abs/2409.13728
Autor:
Alvarado III, Efrain, Bostow, Kate B., Patra, Kishore C., Jacobus, Cooper H., Baer-Way, Raphael A., Jennings, Connor F., Pichay, Neil R., deGraw, Asia A., Vidal, Edgar P., Chander, Vidhi, Altunin, Ivan A., Brendel, Victoria M., Ehrich, Kingsley E., Sunseri, James D., May, Michael B., Punjabi, Druv H., Gendreau-Distler, Eli A., Risin, Sophia, Brink, Thomas G., Zheng, WeiKang, Filippenko, Alexei V.
We study transits of several ``hot Jupiter'' systems - including WASP-12 b, WASP-43 b, WASP-103 b, HAT-P-23 b, KELT-16 b, WD 1856+534 b, and WTS-2 b - with the goal of detecting tidal orbital decay and extending the baselines of transit times. We fin
Externí odkaz:
http://arxiv.org/abs/2409.04660