Zobrazeno 1 - 10
of 24 850
pro vyhledávání: '"A, Schüler"'
One of the main advantages of deep learning models of protein structure, such as Alphafold2, is their ability to accurately estimate the confidence of a generated structural model, which allows us to focus on highly confident predictions.The ipTM sco
Externí odkaz:
http://arxiv.org/abs/2412.15970
Autor:
Bao, Changhua, Schüler, Michael, Xiao, Teng, Wang, Fei, Zhong, Haoyuan, Lin, Tianyun, Cai, Xuanxi, Sheng, Tianshuang, Tang, Xiao, Zhang, Hongyun, Yu, Pu, Sun, Zhiyuan, Duan, Wenhui, Zhou, Shuyun
Publikováno v:
Nature Communications 15, 10535 (2024)
Strong light-matter interaction provides opportunities for tailoring the physical properties of quantum materials on the ultrafast timescale by forming photon-dressed electronic states, i.e., Floquet-Bloch states. While the light field can in princip
Externí odkaz:
http://arxiv.org/abs/2412.06751
Autor:
Fragkos, Sotirios, Fabre, Baptiste, Tkach, Olena, Petit, Stéphane, Descamps, Dominique, Schönhense, Gerd, Mairesse, Yann, Schüler, Michael, Beaulieu, Samuel
Driving quantum materials out-of-equilibrium makes it possible to generate states of matter inaccessible through standard equilibrium tuning methods. Upon time-periodic coherent driving of electrons using electromagnetic fields, the emergence of Floq
Externí odkaz:
http://arxiv.org/abs/2412.03935
Autor:
Bertalis, Nerijus, Granse, Paul, Gül, Ferhat, Hauss, Florian, Menkel, Leon, Schüler, David, Speier, Tom, Galke, Lukas, Scherp, Ansgar
Assigning a subset of labels from a fixed pool of labels to a given input text is a text classification problem with many real-world applications, such as in recommender systems. Two separate research streams address this issue. Hierarchical Text Cla
Externí odkaz:
http://arxiv.org/abs/2411.13687
Autor:
Abel, Elliott, Steindl, Andrew J., Mazioud, Selma, Schueler, Ellie, Ogundipe, Folu, Zhang, Ellen, Grinspan, Yvan, Reimann, Kristof, Crevasse, Peyton, Bhaskar, Dhananjay, Viswanath, Siddharth, Zhang, Yanlei, Rudner, Tim G. J., Adelstein, Ian, Krishnaswamy, Smita
Drawing motivation from the manifold hypothesis, which posits that most high-dimensional data lies on or near low-dimensional manifolds, we apply manifold learning to the space of neural networks. We learn manifolds where datapoints are neural networ
Externí odkaz:
http://arxiv.org/abs/2411.12626
Autor:
Date, Mihir, Petocchi, Francesco, Yen, Yun, Krieger, Jonas A., Pal, Banabir, Hasse, Vicky, McFarlane, Emily C., Körner, Chris, Yoon, Jiho, Watson, Matthew D., Strocov, Vladimir N., Xu, Yuanfeng, Kostanovski, Ilya, Ali, Mazhar N., Ju, Sailong, Plumb, Nicholas C., Sentef, Michael A., Woltersdorf, Georg, Schüler, Michael, Werner, Philipp, Felser, Claudia, Parkin, Stuart S. P., Schröter, Niels B. M.
In a well-ordered crystalline solid, insulating behaviour can arise from two mechanisms: electrons can either scatter off a periodic potential, thus forming band gaps that can lead to a band insulator, or they localize due to strong interactions, res
Externí odkaz:
http://arxiv.org/abs/2410.16199
Autor:
Kapetanović, Edin, Gigante, Guglielmo Nicola, Schüler, Malte, Wehling, Tim O., van Loon, Erik
Electronic correlations arise from the competition between the electrons' kinetic and Coulomb interaction energy and give rise to a rich phase diagram and many emergent quasiparticles. The binding of doubly-occupied and empty sites into a doublon-hol
Externí odkaz:
http://arxiv.org/abs/2409.05640
For the last several years, the embedding of hidden information by steganographic techniques in network communications is increasingly used by attackers in order to obscure data infiltration, exfiltration or command and control in IT (information tec
Externí odkaz:
http://arxiv.org/abs/2406.19338
Autor:
Schueler, J., Araújo, H. M., Balashov, S. N., Borg, J. E., Brew, C., Brunbauer, F. M., Cazzaniga, C., Cottle, A., Frost, C. D., Garcia, F., Hunt, D., Kaboth, A. C., Kastriotou, M., Katsioulas, I., Khazov, A., Knights, P., Kraus, H., Kudryavtsev, V. A., Lilley, S., Lindote, A., Lisowska, M., Loomba, D., Lopes, M. I., Asamar, E. Lopez, Dapica, P. Luna, Majewski, P. A., Marley, T., McCabe, C., Millins, L., Mills, A. F., Nakhostin, M., Nandakumar, R., Neep, T., Neves, F., Nikolopoulos, K., Oliveri, E., Ropelewski, L., Solovov, V. N., Sumner, T. J., Tarrant, J., Tilly, E., Turnley, R., Veenhof, R.
Deep learning-based object detection algorithms enable the simultaneous classification and localization of any number of objects in image data. Many of these algorithms are capable of operating in real-time on high resolution images, attributing to t
Externí odkaz:
http://arxiv.org/abs/2406.07538
Autor:
Palmiero, Allison, Liu, Kevin, Colnot, Julie, Chopra, Nitish, Neill, Denae, Connell, Luke, Velasquez, Brett, Koong, Albert C., Lin, Steven H., Balter, Peter, Tailor, Ramesh, Robert, Charlotte, Germond, Jean-François, Jorge, Patrik Gonçalves, Geyer, Reiner, Beddar, Sam, Moeckli, Raphael, Schüler, Emil
Background & Purpose: FLASH or ultra-high dose rate (UHDR) radiation therapy (RT) has gained attention in recent years for its ability to spare normal tissues relative to conventional dose rate (CDR) RT in various preclinical trials. However, clinica
Externí odkaz:
http://arxiv.org/abs/2405.15146