Zobrazeno 1 - 10
of 25 898
pro vyhledávání: '"Otte A"'
The locally competitive algorithm (LCA) can solve sparse coding problems across a wide range of use cases. Recently, convolution-based LCA approaches have been shown to be highly effective for enhancing robustness for image recognition tasks in visio
Externí odkaz:
http://arxiv.org/abs/2410.18794
Autor:
Stolte, Evert W., Lee, Jinwon, Vennema, Hester, Broekhoven, Rik, Teng, Esther, Katan, Allard, Veldman, Lukas M., Willke, Philip, Otte, Sander
Nuclear spins owe their long-lived magnetic states to their excellent isolation from their environment. At the same time, a limited degree of interaction with their surroundings is necessary for reading and writing the spin state. Detailed knowledge
Externí odkaz:
http://arxiv.org/abs/2410.08704
Autor:
Bunne, Charlotte, Roohani, Yusuf, Rosen, Yanay, Gupta, Ankit, Zhang, Xikun, Roed, Marcel, Alexandrov, Theo, AlQuraishi, Mohammed, Brennan, Patricia, Burkhardt, Daniel B., Califano, Andrea, Cool, Jonah, Dernburg, Abby F., Ewing, Kirsty, Fox, Emily B., Haury, Matthias, Herr, Amy E., Horvitz, Eric, Hsu, Patrick D., Jain, Viren, Johnson, Gregory R., Kalil, Thomas, Kelley, David R., Kelley, Shana O., Kreshuk, Anna, Mitchison, Tim, Otte, Stephani, Shendure, Jay, Sofroniew, Nicholas J., Theis, Fabian, Theodoris, Christina V., Upadhyayula, Srigokul, Valer, Marc, Wang, Bo, Xing, Eric, Yeung-Levy, Serena, Zitnik, Marinka, Karaletsos, Theofanis, Regev, Aviv, Lundberg, Emma, Leskovec, Jure, Quake, Stephen R.
The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determining the root causes of disease. Recent advances in artificial intell
Externí odkaz:
http://arxiv.org/abs/2409.11654
Autor:
Otte, Ralf
This article presents a heuristic view that shows that the inner states of consciousness experienced by every human being have a physical but imaginary hypercomplex basis. The hypercomplex description is necessary because certain processes of conscio
Externí odkaz:
http://arxiv.org/abs/2409.02100
Biopharmaceutical products, particularly monoclonal antibodies (mAbs), have gained prominence in the pharmaceutical market due to their high specificity and efficacy. As these products are projected to constitute a substantial portion of global pharm
Externí odkaz:
http://arxiv.org/abs/2409.02149
The analysis of variance (ANOVA) decomposition offers a systematic method to understand the interaction effects that contribute to a specific decision output. In this paper we introduce Neural-ANOVA, an approach to decompose neural networks into glas
Externí odkaz:
http://arxiv.org/abs/2408.12319
Autor:
Horuz, Coşku Can, Karlbauer, Matthias, Praditia, Timothy, Oladyshkin, Sergey, Nowak, Wolfgang, Otte, Sebastian
Spatiotemporal partial differential equations (PDEs) find extensive application across various scientific and engineering fields. While numerous models have emerged from both physics and machine learning (ML) communities, there is a growing trend tow
Externí odkaz:
http://arxiv.org/abs/2408.10649
The paper proposes a new testing approach for Deep Neural Networks (DNN) using gradient-free optimization to find perturbation chains that successfully falsify the tested DNN, going beyond existing grid-based or combinatorial testing. Applying it to
Externí odkaz:
http://arxiv.org/abs/2408.00783
Autor:
Elbertse, R. J. G., Borodin, D., Oh, J., Ahn, T., Hwang, J., Rietveld, J. C., Heinrich, A. J., Delgado, F., Otte, S., Bae, Y.
Scaling magnets down to where quantum size effects become prominent triggers quantum tunneling of magnetization (QTM), profoundly influencing magnetization dynamics. Measuring magnetization switching in an Fe atomic chain under a carefully tuned tran
Externí odkaz:
http://arxiv.org/abs/2407.02727
Autor:
Bagheri, Mahdi, Gadamsetty, Srikar, Gazda, Eliza, Judd, Eleanor, Kuznetsov, Evgeny, Otte, A. Nepomuk, Potts, Mathew, Matamala, Oscar Romero, Shapera, Noah, Sorell, Joshua, Tandon, Svanik, Wang, Andrew
We developed a modular silicon photomultiplier camera to detect Earth-skimming PeV to EeV tau neutrinos with the imaging atmospheric Cherenkov technique. We built two cameras, a 256-pixel camera with S14161-6050HS SiPMs for the Trinity Demonstrator l
Externí odkaz:
http://arxiv.org/abs/2406.08274