Zobrazeno 1 - 10
of 5 119
pro vyhledávání: '"Koßmann A"'
Autor:
Koßmann, Gereon, Schwonnek, René
This paper introduces a numerical framework for establishing lower bounds on the conditional von-Neumann entropy in device-independent quantum cryptography and randomness extraction scenarios. Leveraging a hierarchy of semidefinite programs derived f
Externí odkaz:
http://arxiv.org/abs/2411.04858
Deep neural networks perform well in object recognition, but do they perceive objects like humans? This study investigates the Gestalt principle of closure in convolutional neural networks. We propose a protocol to identify closure and conduct experi
Externí odkaz:
http://arxiv.org/abs/2411.00627
Serving systems for Large Language Models (LLMs) improve throughput by processing several requests concurrently. However, multiplexing hardware resources between concurrent requests involves non-trivial scheduling decisions. Practical serving systems
Externí odkaz:
http://arxiv.org/abs/2410.17840
Autor:
Koßmann, Gereon, Wilde, Mark M.
This paper introduces a method for calculating the quantum relative entropy of channels, an essential quantity in quantum channel discrimination and resource theories of quantum channels. By building on recent developments in the optimization of rela
Externí odkaz:
http://arxiv.org/abs/2410.16362
The human brain has an inherent ability to fill in gaps to perceive figures as complete wholes, even when parts are missing or fragmented. This phenomenon is known as Closure in psychology, one of the Gestalt laws of perceptual organization, explaini
Externí odkaz:
http://arxiv.org/abs/2408.12460
Autor:
Redies, Christoph, Bartho, Ralf, Koßmann, Lisa, Spehar, Branka, Hübner, Ronald, Wagemans, Johan, Hayn-Leichsenring, Gregor U.
Over the past two decades, researchers in the field of visual aesthetics have studied numerous quantitative (objective) image properties and how they relate to visual aesthetic appreciation. However, results are difficult to compare between research
Externí odkaz:
http://arxiv.org/abs/2408.10616
Autor:
Yu, Geoffrey X., Wu, Ziniu, Kossmann, Ferdi, Li, Tianyu, Markakis, Markos, Ngom, Amadou, Madden, Samuel, Kraska, Tim
Modern organizations manage their data with a wide variety of specialized cloud database engines (e.g., Aurora, BigQuery, etc.). However, designing and managing such infrastructures is hard. Developers must consider many possible designs with non-obv
Externí odkaz:
http://arxiv.org/abs/2407.15363
Machine learning (ML) models are increasingly deployed to production, calling for efficient inference serving systems. Efficient inference serving is complicated by two challenges: (i) ML models incur high computational costs, and (ii) the request ar
Externí odkaz:
http://arxiv.org/abs/2406.14424
Autor:
Koßmann, Gereon, Schwonnek, René
Finding the minimal relative entropy of two quantum states under semi definite constraints is a pivotal problem located at the mathematical core of various applications in quantum information theory. In this work, we provide a method that addresses t
Externí odkaz:
http://arxiv.org/abs/2404.17016
Autor:
Pfister, Lena, Gohm, Alexander, Kossmann, Meinolf, Wieser, Andreas, Babić, Nevio, Handwerker, Jan, Wildmann, Norman, Vogelmann, Hannes, Baumann-Stanzer, Kathrin, Alexa, Almut, Lapo, Karl, Paunović, Ivan, Leinweber, Ronny, Sedlmeier, Katrin, Lehner, Manuela, Hieden, Alexander, Speidel, Johannes, Federer, Maria, Rotach, Mathias W.
The multi-scale transport and exchange processes in the atmosphere over mountains -- programme and experiment (TEAMx) wants to advance the understanding of transport and exchange processes over mountainous terrain as well as to collect unique multi-s
Externí odkaz:
http://arxiv.org/abs/2401.06500