Zobrazeno 1 - 10
of 1 390
pro vyhledávání: '"Van Vaerenbergh P"'
Autor:
Zhang, Xiangyi, Rozada, Ignacio, Böhm, Fabian, Valiante, Elisabetta, Noori, Moslem, Van Vaerenbergh, Thomas, Yang, Chan-Woo, Pedretti, Giacomo, Mohseni, Masoud, Beausoleil, Raymond
In-memory computing (IMC) has been shown to be a promising approach for solving binary optimization problems while significantly reducing energy and latency. Building on the advantages of parallel computation, we propose an IMC-compatible parallelism
Externí odkaz:
http://arxiv.org/abs/2409.09152
Autor:
Vermani, Ayesha, Dowling, Matthew, Jeon, Hyungju, Jordan, Ian, Nassar, Josue, Bernaerts, Yves, Zhao, Yuan, Van Vaerenbergh, Steven, Park, Il Memming
Function and dysfunctions of neural systems are tied to the temporal evolution of neural states. The current limitations in showing their causal role stem largely from the absence of tools capable of probing the brain's internal state in real-time. T
Externí odkaz:
http://arxiv.org/abs/2409.01280
Autor:
Peng, Yiwei, Hooten, Sean, Yu, Xinling, Van Vaerenbergh, Thomas, Yuan, Yuan, Xiao, Xian, Tossoun, Bassem, Cheung, Stanley, Fiorentino, Marco, Beausoleil, Raymond
Kolmogorov-Arnold Networks (KAN) models were recently proposed and claimed to provide improved parameter scaling and interpretability compared to conventional multilayer perceptron (MLP) models. Inspired by the KAN architecture, we propose the Photon
Externí odkaz:
http://arxiv.org/abs/2408.08407
Autor:
Yu, Xinling, Hooten, Sean, Liu, Ziyue, Zhao, Yequan, Fiorentino, Marco, Van Vaerenbergh, Thomas, Zhang, Zheng
Operator learning has become a powerful tool in machine learning for modeling complex physical systems governed by partial differential equations (PDEs). Although Deep Operator Networks (DeepONet) show promise, they require extensive data acquisition
Externí odkaz:
http://arxiv.org/abs/2407.11253
Autor:
Hejda, Matěj, Marchesin, Federico, Papadimitriou, George, Gizopoulos, Dimitris, Charbonnier, Benoit, Orobtchouk, Régis, Bienstman, Peter, Van Vaerenbergh, Thomas, Pavanello, Fabio
In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated photonic architectures that leverage phase-change and III-V materials f
Externí odkaz:
http://arxiv.org/abs/2407.06240
Autor:
Bhattacharya, T., Hutchinson, G. H., Pedretti, G., Sheng, X., Ignowski, J., Van Vaerenbergh, T., Beausoleil, R., Strachan, J. P., Strukov, D. B.
Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms, e.g., based on gradient descent or conjugate gradient methods that are at the core of control, machine learning, and o
Externí odkaz:
http://arxiv.org/abs/2401.16204
We study the limiting behavior of minimizing $p$-harmonic maps from a bounded Lipschitz domain $\Omega \subset \mathbb{R}^{3}$ to a compact connected Riemannian manifold without boundary and with finite fundamental group as $p \nearrow 2$. We prove t
Externí odkaz:
http://arxiv.org/abs/2401.03583
Autor:
Hooten, Sean, Sun, Peng, Gantz, Liron, Fiorentino, Marco, Beausoleil, Raymond G., Van Vaerenbergh, Thomas
Shape optimization approaches to inverse design offer low-dimensional, physically-guided parameterizations of structures by representing them as combinations of shape primitives. However, on discretized rectilinear simulation grids, computing the gra
Externí odkaz:
http://arxiv.org/abs/2311.05646
Autor:
Hizzani, Mohammad, Heittmann, Arne, Hutchinson, George, Dobrynin, Dmitrii, Van Vaerenbergh, Thomas, Bhattacharya, Tinish, Renaudineau, Adrien, Strukov, Dmitri, Strachan, John Paul
Ising solvers offer a promising physics-based approach to tackle the challenging class of combinatorial optimization problems. However, typical solvers operate in a quadratic energy space, having only pair-wise coupling elements which already dominat
Externí odkaz:
http://arxiv.org/abs/2311.01171
Autor:
Gianluca Iori, Mustafa Alzu'bi, Anas Abbadi, Yazeed Al Momani, Abdel Rahman Hasoneh, Pierre Van Vaerenbergh, Ivan Cudin, Jordi Marcos, Abdalla Ahmad, Anas Mohammad, Salman Matalgah, Ibrahim Foudeh, Mohammad Al Najdawi, Adel Amro, Abid Ur Rehman, Mohammad Abugharbiyeh, Rami Khrais, Amro Aljadaa, Mohammad Nour, Hussam Al Mohammad, Farouq Al Omari, Majeda Salama, María José García Fusté, Juan Reyes-Herrera, Christian Morawe, Maher Attal, Samira Kasaei, Charalambos Chrysostomou, Tomasz Kołodziej, Mateusz Boruchowski, Paweł Nowak, Jarosław Wiechecki, Anis Fatima, Andrea Ghigo, Adriana I. Wawrzyniak, Kirsi Lorentz, Giorgio Paolucci, Frank Lehner, Michael Krisch, Marco Stampanoni, Alexander Rack, Axel Kaprolat, Andrea Lausi
Publikováno v:
Journal of Synchrotron Radiation, Vol 31, Iss 5, Pp 1358-1372 (2024)
The ID10 beamline of the SESAME (Synchrotron-light for Experimental Science and Applications in the Middle East) synchrotron light source in Jordan was inaugurated in June 2023 and is now open to scientific users. The beamline, which was designed and
Externí odkaz:
https://doaj.org/article/4ec71e9d74e94b54b1bcaaa7a9511217