Zobrazeno 1 - 10
of 3 710
pro vyhledávání: '"van Rijn P"'
Graph-structured data naturally occurs in many research fields, such as chemistry and sociology. The relational information contained therein can be leveraged to statistically model graph properties through geometrical deep learning. Graph neural net
Externí odkaz:
http://arxiv.org/abs/2409.11856
Autor:
Lukas, Sebastian, Esteki, Ardeshir, Rademacher, Nico, Jangra, Vikas, Gross, Michael, Wang, Zhenxing, Ngo, Ha Duong, Bäuscher, Manuel, Mackowiak, Piotr, Höppner, Katrin, Wehenkel, Dominique, van Rijn, Richard, Lemme, Max C.
Suspended membranes of monoatomic graphene exhibit great potential for applications in electronic and nanoelectromechanical devices. In this work, a "hot and dry" transfer process is demonstrated to address the fabrication and patterning challenges o
Externí odkaz:
http://arxiv.org/abs/2408.16408
Autor:
Gomes, Inês, Teixeira, Luís F., van Rijn, Jan N., Soares, Carlos, Restivo, André, Cunha, Luís, Santos, Moisés
The increasing use of deep learning across various domains highlights the importance of understanding the decision-making processes of these black-box models. Recent research focusing on the decision boundaries of deep classifiers, relies on generate
Externí odkaz:
http://arxiv.org/abs/2408.06302
Estimating the difficulty of multiple-choice questions would be great help for educators who must spend substantial time creating and piloting stimuli for their tests, and for learners who want to practice. Supervised approaches to difficulty estimat
Externí odkaz:
http://arxiv.org/abs/2407.05327
The ubiquity of deep learning algorithms in various applications has amplified the need for assuring their robustness against small input perturbations such as those occurring in adversarial attacks. Existing complete verification techniques offer pr
Externí odkaz:
http://arxiv.org/abs/2406.10154
Conversational tones -- the manners and attitudes in which speakers communicate -- are essential to effective communication. Amidst the increasing popularization of Large Language Models (LLMs) over recent years, it becomes necessary to characterize
Externí odkaz:
http://arxiv.org/abs/2406.04278
Autor:
Tian, Yuchen, Moreno, Ari R. Ortiz, Chipaux, Mayeul, Wu, Kaiqi, Martinez, Felipe P. Perona, Shirzad, Hoda, Hamoh, Thamir, Mzyk, Aldona, van Rijn, Patrick, Schirhagl, Romana
Diamond is increasingly popular because of its unique material properties. Diamond defects called nitrogen vacancy (NV) centers allow measurements with unprecedented sensitivity. However, to achieve ideal sensing performance NV centers need to be wit
Externí odkaz:
http://arxiv.org/abs/2404.11961
Autor:
Egele, Romain, Junior, Julio C. S. Jacques, van Rijn, Jan N., Guyon, Isabelle, Baró, Xavier, Clapés, Albert, Balaprakash, Prasanna, Escalera, Sergio, Moeslund, Thomas, Wan, Jun
Machine learning is now used in many applications thanks to its ability to predict, generate, or discover patterns from large quantities of data. However, the process of collecting and transforming data for practical use is intricate. Even in today's
Externí odkaz:
http://arxiv.org/abs/2404.09703
Autor:
Marjieh, Raja, van Rijn, Pol, Sucholutsky, Ilia, Lee, Harin, Griffiths, Thomas L., Jacoby, Nori
The speech-to-song illusion is a robust psychological phenomenon whereby a spoken sentence sounds increasingly more musical as it is repeated. Despite decades of research, a complete formal account of this transformation is still lacking, and some of
Externí odkaz:
http://arxiv.org/abs/2402.06992
Autor:
van Rijn, Pol, Mertes, Silvan, Janowski, Kathrin, Weitz, Katharina, Jacoby, Nori, André, Elisabeth
Speech is a natural interface for humans to interact with robots. Yet, aligning a robot's voice to its appearance is challenging due to the rich vocabulary of both modalities. Previous research has explored a few labels to describe robots and tested
Externí odkaz:
http://arxiv.org/abs/2402.05206