Zobrazeno 1 - 10
of 658
pro vyhledávání: '"Proesmans, P."'
Autor:
Ren, Qiaoqiao, Proesmans, Remko, Bossuyt, Frederick, Vanfleteren, Jan, Wyffels, Francis, Belpaeme, Tony
Human emotions can be conveyed through nuanced touch gestures. However, there is a lack of understanding of how consistently emotions can be conveyed to robots through touch. This study explores the consistency of touch-based emotional expression tow
Externí odkaz:
http://arxiv.org/abs/2412.03300
Autor:
Basile, Tomas, Proesmans, Karel
In this paper, we study the thermodynamic cost associated with erasing a static random access memory. By combining the stochastic thermodynamics framework of electronic circuits with machine learning-based optimization techniques, we show that it is
Externí odkaz:
http://arxiv.org/abs/2411.02044
How is the irreversibility of a high-dimensional chaotic system controlled by the heterogeneity in the non-reciprocal interactions among its elements? In this paper, we address this question using a stochastic model of random recurrent neural network
Externí odkaz:
http://arxiv.org/abs/2407.17939
Tactile sensing can enable robots to perform complex, contact-rich tasks. Magnetic sensors offer accurate three-axis force measurements while using affordable materials. Calibrating such a sensor involves either manual data collection, or automated p
Externí odkaz:
http://arxiv.org/abs/2405.18582
Autor:
Singh, Prashant, Proesmans, Karel
Chemical gradients can be used by a particle to determine its position. This \textit{positional information} is of crucial importance, for example in developmental biology in the formation of patterns in an embryo. The central goal of this paper is t
Externí odkaz:
http://arxiv.org/abs/2405.04381
Autor:
Berx, Jonas, Proesmans, Karel
Biological processes that are able to discriminate between different molecules consume energy and dissipate heat. They operate at different levels of fidelity and speed, and as a consequence there exist fundamental trade-offs between these quantities
Externí odkaz:
http://arxiv.org/abs/2403.07626
Publikováno v:
2024 New J. Phys. 26 033034
We investigate the work fluctuations in an overdamped non-equilibrium process that is stopped at a stochastic time. The latter is characterized by a first passage event that marks the completion of the non-equilibrium process. In particular, we consi
Externí odkaz:
http://arxiv.org/abs/2401.12583
Autor:
Berx, Jonas, Proesmans, Karel
Publikováno v:
EPL 145, 51001 (2024)
We derive a universal lower bound on the Fano factors of general biochemical discriminatory networks involving irreversible catalysis steps, based on the thermodynamic uncertainty relation, and compare it to a numerically exact Pareto optimal front.
Externí odkaz:
http://arxiv.org/abs/2312.01051
Autor:
De Plaen, Pierre-François, Marinello, Nicola, Proesmans, Marc, Tuytelaars, Tinne, Van Gool, Luc
The DEtection TRansformer (DETR) opened new possibilities for object detection by modeling it as a translation task: converting image features into object-level representations. Previous works typically add expensive modules to DETR to perform Multi-
Externí odkaz:
http://arxiv.org/abs/2311.08043
Autor:
Singh, Prashant, Proesmans, Karel
Publikováno v:
Communications Physics 7, 231 (2024)
Measuring entropy production of a system directly from the experimental data is highly desirable since it gives a quantifiable measure of the time-irreversibility for non-equilibrium systems and can be used as a cost function to optimize the performa
Externí odkaz:
http://arxiv.org/abs/2310.16627