Zobrazeno 1 - 10
of 179 317
pro vyhledávání: '"A Fuchs"'
Interference effects are well founded from the quantum mechanical viewpoint and in principle cannot be ignored in realistic studies of New Physics scenarios. In this work, we investigate the size of interference effects between resonant and non-reson
Externí odkaz:
http://arxiv.org/abs/2409.06651
Neural Networks (NNs) are promising models for refining the accuracy of molecular dynamics, potentially opening up new fields of application. Typically trained bottom-up, atomistic NN potential models can reach first-principle accuracy, while coarse-
Externí odkaz:
http://arxiv.org/abs/2408.15852
Autor:
Fuchs, Andreas J. C., Brunner, Eric, Seong, Jiheon, Kwon, Hyeokjea, Seo, Seungchan, Bae, Joonwoo, Buchleitner, Andreas, Carnio, Edoardo G.
Entanglement is a fundamental aspect of quantum physics, both conceptually and for its many applications. Classifying an arbitrary multipartite state as entangled or separable -- a task referred to as the separability problem -- poses a significant c
Externí odkaz:
http://arxiv.org/abs/2408.12349
Autor:
Ashton, Neil, Mockett, Charles, Fuchs, Marian, Fliessbach, Louis, Hetmann, Hendrik, Knacke, Thilo, Schonwald, Norbert, Skaperdas, Vangelis, Fotiadis, Grigoris, Walle, Astrid, Hupertz, Burkhard, Maddix, Danielle
Machine Learning (ML) has the potential to revolutionise the field of automotive aerodynamics, enabling split-second flow predictions early in the design process. However, the lack of open-source training data for realistic road cars, using high-fide
Externí odkaz:
http://arxiv.org/abs/2408.11969
Autor:
Wang, Yi Kan, Tydlitatova, Ludmila, Kunz, Jeremy D., Oakley, Gerard, Godrich, Ran A., Lee, Matthew C. H., Vanderbilt, Chad, Yousfi, Razik, Fuchs, Thomas, Klimstra, David S., Liu, Siqi
Many molecular alterations serve as clinically prognostic or therapy-predictive biomarkers, typically detected using single or multi-gene molecular assays. However, these assays are expensive, tissue destructive and often take weeks to complete. Usin
Externí odkaz:
http://arxiv.org/abs/2408.09554
The development of learning-based hyperspectral image (HSI) compression models has recently attracted significant interest. Existing models predominantly utilize convolutional filters, which capture only local dependencies. Furthermore, they often in
Externí odkaz:
http://arxiv.org/abs/2408.08700
Autor:
Fuchs, Marvin, Krause, Hendrik, Muscheid, Timo, Scheller, Lukas, Ardila-Perez, Luis E., Sander, Oliver
The almost unlimited possibilities to customize the logic in an FPGA are one of the main reasons for the versatility of these devices. Partial reconfiguration exploits this capability even further by allowing to replace logic in predefined FPGA regio
Externí odkaz:
http://arxiv.org/abs/2408.08626
Publikováno v:
Radiation Measurements 159 (2022), 106876
Spectroscopic investigations provide important insights into the composition of luminescence emissions relevant to trapped-charge dating of sediments. Accurate wavelength calibration and a correction for the wavelength-dependent detection efficiency
Externí odkaz:
http://arxiv.org/abs/2408.07991
Balancing game difficulty in video games is a key task to create interesting gaming experiences for players. Mismatching the game difficulty and a player's skill or commitment results in frustration or boredom on the player's side, and hence reduces
Externí odkaz:
http://arxiv.org/abs/2408.06818
Autor:
Zimmermann, Eric, Vorontsov, Eugene, Viret, Julian, Casson, Adam, Zelechowski, Michal, Shaikovski, George, Tenenholtz, Neil, Hall, James, Klimstra, David, Yousfi, Razik, Fuchs, Thomas, Fusi, Nicolo, Liu, Siqi, Severson, Kristen
Foundation models are rapidly being developed for computational pathology applications. However, it remains an open question which factors are most important for downstream performance with data scale and diversity, model size, and training algorithm
Externí odkaz:
http://arxiv.org/abs/2408.00738