Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Müller, Kilian"'
Publikováno v:
Opt. Express 31, 25881-25888 (2023)
We introduce a novel method to perform linear optical random projections without the need for holography. Our method consists of a computationally trivial combination of multiple intensity measurements to mitigate the information loss usually associa
Externí odkaz:
http://arxiv.org/abs/2305.12988
Publikováno v:
In 2022 IEEE 24th Conference on Business Informatics, 40-50. Amsterdam, Netherlands
The spread of online hate has become a significant problem for newspapers that host comment sections. As a result, there is growing interest in using machine learning and natural language processing for (semi-) automated abusive language detection to
Externí odkaz:
http://arxiv.org/abs/2207.04003
Autor:
Brossollet, Charles, Cappelli, Alessandro, Carron, Igor, Chaintoutis, Charidimos, Chatelain, Amélie, Daudet, Laurent, Gigan, Sylvain, Hesslow, Daniel, Krzakala, Florent, Launay, Julien, Mokaadi, Safa, Moreau, Fabien, Müller, Kilian, Ohana, Ruben, Pariente, Gustave, Poli, Iacopo, Tommasone, Elena
We introduce LightOn's Optical Processing Unit (OPU), the first photonic AI accelerator chip available on the market for at-scale Non von Neumann computations, reaching 1500 TeraOPS. It relies on a combination of free-space optics with off-the-shelf
Externí odkaz:
http://arxiv.org/abs/2107.11814
Autor:
Meyer-Jens, Moritz, Wenzel, Kristin, Grube, Karina, Rüdebusch, Julia, Krämer, Elisabeth, Bahls, Martin, Müller, Kilian, Voß, Hannah, Schlüter, Hartmut, Felix, Stephan B., Carrier, Lucie, Könemann, Stephanie, Schlossarek, Saskia
Publikováno v:
In Journal of Molecular and Cellular Cardiology Plus March 2024 7
Autor:
Hesslow, Daniel, Cappelli, Alessandro, Carron, Igor, Daudet, Laurent, Lafargue, Raphaël, Müller, Kilian, Ohana, Ruben, Pariente, Gustave, Poli, Iacopo
Randomized Numerical Linear Algebra (RandNLA) is a powerful class of methods, widely used in High Performance Computing (HPC). RandNLA provides approximate solutions to linear algebra functions applied to large signals, at reduced computational costs
Externí odkaz:
http://arxiv.org/abs/2104.14429
Publikováno v:
Phys. Rev. Applied 15, 064047 (2021)
We developed an ultra-compact high-resolution imaging system for cold atoms. Its only in-vacuum element is a multimode optical fiber with a diameter of $230\,\mu$m, which simultaneously collects light and guides it out of the vacuum chamber. External
Externí odkaz:
http://arxiv.org/abs/2012.09073
Autor:
Launay, Julien, Poli, Iacopo, Müller, Kilian, Pariente, Gustave, Carron, Igor, Daudet, Laurent, Krzakala, Florent, Gigan, Sylvain
The scaling hypothesis motivates the expansion of models past trillions of parameters as a path towards better performance. Recent significant developments, such as GPT-3, have been driven by this conjecture. However, as models scale-up, training the
Externí odkaz:
http://arxiv.org/abs/2012.06373
Autor:
Launay, Julien, Poli, Iacopo, Müller, Kilian, Carron, Igor, Daudet, Laurent, Krzakala, Florent, Gigan, Sylvain
As neural networks grow larger and more complex and data-hungry, training costs are skyrocketing. Especially when lifelong learning is necessary, such as in recommender systems or self-driving cars, this might soon become unsustainable. In this study
Externí odkaz:
http://arxiv.org/abs/2006.01475
Autor:
Clever, Lena, Assenmacher, Dennis, Müller, Kilian, Seiler, Moritz Vinzent, Riehle, Dennis M., Preuss, Mike, Grimme, Christian
Nowadays fake news are heavily discussed in public and political debates. Even though the phenomenon of intended false information is rather old, misinformation reaches a new level with the rise of the internet and participatory platforms. Due to Fac
Externí odkaz:
http://arxiv.org/abs/2003.07595
Publikováno v:
Opt. Lett. 45, 1519-1522 (2020)
To manipulate cold atoms in spatially constrained quantum engineering platforms, we developed a lensless optical system with a $\sim$1 $\mu$m resolution and a transverse size of only 225 $\mu$m. We use a multimode optical fiber with a high numerical
Externí odkaz:
http://arxiv.org/abs/1912.00062