Zobrazeno 1 - 10
of 2 509
pro vyhledávání: '"Friederich P."'
Autor:
Wu, Jianchang, Torresi, Luca, Hu, ManMan, Reiser, Patrick, Zhang, Jiyun, Rocha-Ortiz, Juan S., Wang, Luyao, Xie, Zhiqiang, Zhang, Kaicheng, Park, Byung-wook, Barabash, Anastasia, Zhao, Yicheng, Luo, Junsheng, Wang, Yunuo, Lüer, Larry, Deng, Lin-Long, Hauch, Jens A., Seok, Sang Il, Friederich, Pascal, Brabec, Christoph J.
The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential, but has not yet been realized1,2. The complexity and literally infinite diversity of conjugated molecular structures
Externí odkaz:
http://arxiv.org/abs/2407.00729
Autor:
Teufel, Jonas, Friederich, Pascal
Beyond improving trust and validating model fairness, xAI practices also have the potential to recover valuable scientific insights in application domains where little to no prior human intuition exists. To that end, we propose a method to extract gl
Externí odkaz:
http://arxiv.org/abs/2404.16532
Autor:
Schopmans, Henrik, Friederich, Pascal
Efficient sampling of the Boltzmann distribution of molecular systems is a long-standing challenge. Recently, instead of generating long molecular dynamics simulations, generative machine learning methods such as normalizing flows have been used to l
Externí odkaz:
http://arxiv.org/abs/2402.01195
To ensure the security of airports, it is essential to protect the airside from unauthorized access. For this purpose, security fences are commonly used, but they require regular inspection to detect damages. However, due to the growing shortage of h
Externí odkaz:
http://arxiv.org/abs/2311.12064
Autor:
Deuschel, Jannik, Ellington, Caleb N., Luo, Yingtao, Lengerich, Benjamin J., Friederich, Pascal, Xing, Eric P.
Interpretable policy learning seeks to estimate intelligible decision policies from observed actions; however, existing models force a tradeoff between accuracy and interpretability, limiting data-driven interpretations of human decision-making proce
Externí odkaz:
http://arxiv.org/abs/2310.07918
Autor:
Friederich, Nils, Sitcheu, Angelo Yamachui, Neumann, Oliver, Eroğlu-Kayıkçı, Süheyla, Prizak, Roshan, Hilbert, Lennart, Mikut, Ralf
In the biomedical environment, experiments assessing dynamic processes are primarily performed by a human acquisition supervisor. Contemporary implementations of such experiments frequently aim to acquire a maximum number of relevant events from some
Externí odkaz:
http://arxiv.org/abs/2310.04461
Autor:
Sitcheu, Angelo Yamachui, Friederich, Nils, Baeuerle, Simon, Neumann, Oliver, Reischl, Markus, Mikut, Ralf
Nowadays, Machine Learning (ML) is experiencing tremendous popularity that has never been seen before. The operationalization of ML models is governed by a set of concepts and methods referred to as Machine Learning Operations (MLOps). Nevertheless,
Externí odkaz:
http://arxiv.org/abs/2309.15521
Roman Early-Definition Astrophysics Survey Opportunity: Galactic Roman Infrared Plane Survey (GRIPS)
Autor:
Paladini, Roberta, Zucker, Catherine, Benjamin, Robert, Nataf, David, Minniti, Dante, Zasowski, Gail, Peek, Joshua, Carey, Sean, Allen, Lori, Alonso-Garcia, Javier, Alves, Joao, Anders, Friederich, Athanassoula, Evangelie, Beers, Timothy C., Bird, Jonathan, Bland-Hwathorn, Joss, Brown, Anthony, Buder, Sven, Casagrande, Luca, Casey, Andrew, Cassisi, Santi, Catelan, Marcio, Chary, Ranga-Ram, Chene, Andre-Nicolas, Ciardi, David, Comeron, Fernando, Cohen, Roger, Dame, Thomas, Drimmel, Ronald, Trincado, Jose Fernandez, Finkbeiner, Douglas, Geisler, Douglas, Gennaro, Mario, Goodman, Alyssa, Green, Gregory, Hajdu, Gergely, Henderson, Calen, Hora, Joseph, Ivanov, Valentin D., Kirkpatrick, Davy, Kobayashi, Chiaki, Kuhn, Michael, Kunder, Andres, Lu, Jessica, Lucas, Philip W., Majaess, Daniel, Megeath, S. Thomas, Meisner, Aaron, Molinari, Sergio, Mroz, Przemek, Ness, Meliss, Neumayer, Nadine, Nogueras-Lara, Francisco, Noriega-Crespo, Alberto, Poleski, Radek, Rix, Hans-Walter, Rebull, Luisa, Reggiani, Henrique, Rejkuba, Marina, Saito, Roberto K., Schoenrich, Ralph, Saydjari, Andrew, Schisano, Eugenio, Schlafly, Edward, Schlaufman, Keving, Smith, Leigh, Speagle, Joshua, Wisz, Dan, Wyse, Rosemary, Zakamska, Nadia
A wide-field near-infrared survey of the Galactic disk and bulge/bar(s) is supported by a large representation of the community of Galactic astronomers. The combination of sensitivity, angular resolution and large field of view make Roman uniquely ab
Externí odkaz:
http://arxiv.org/abs/2307.07642
Autor:
Choudhary, Kamal, Wines, Daniel, Li, Kangming, Garrity, Kevin F., Gupta, Vishu, Romero, Aldo H., Krogel, Jaron T., Saritas, Kayahan, Fuhr, Addis, Ganesh, Panchapakesan, Kent, Paul R. C., Yan, Keqiang, Lin, Yuchao, Ji, Shuiwang, Blaiszik, Ben, Reiser, Patrick, Friederich, Pascal, Agrawal, Ankit, Tiwary, Pratyush, Beyerle, Eric, Minch, Peter, Rhone, Trevor David, Takeuchi, Ichiro, Wexler, Robert B., Mannodi-Kanakkithodi, Arun, Ertekin, Elif, Mishra, Avanish, Mathew, Nithin, Baird, Sterling G., Wood, Mitchell, Rohskopf, Andrew Dale, Hattrick-Simpers, Jason, Wang, Shih-Han, Achenie, Luke E. K., Xin, Hongliang, Williams, Maureen, Biacchi, Adam J., Tavazza, Francesca
Lack of rigorous reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experimental and theoretical approaches that require careful benchmarking. Leade
Externí odkaz:
http://arxiv.org/abs/2306.11688
As the importance of high-throughput screening (HTS) continues to grow due to its value in early stage drug discovery and data generation for training machine learning models, there is a growing need for robust methods for pre-screening compounds to
Externí odkaz:
http://arxiv.org/abs/2306.02206