Zobrazeno 1 - 10
of 4 237
pro vyhledávání: '"A. Piatkowski"'
Autor:
Gerlach, Thore, Piatkowski, Nico
The demand for high-performance computing in machine learning and artificial intelligence has led to the development of specialized hardware accelerators like Tensor Processing Units (TPUs), Graphics Processing Units (GPUs), and Field-Programmable Ga
Externí odkaz:
http://arxiv.org/abs/2409.10863
Autor:
Lee, Loong Kuan, Knaute, Johannes, Gerhardt, Florian, Völker, Patrick, Maras, Tomislav, Dotterweich, Alexander, Piatkowski, Nico
Adiabatic quantum computation (AQC) is a well-established method to approximate the ground state of a quantum system. Actual AQC devices, known as quantum annealers, have certain limitations regarding the choice of target Hamiltonian. Specifically, t
Externí odkaz:
http://arxiv.org/abs/2409.09857
Autor:
Gerlach, Thore, Knipp, Stefan, Biesner, David, Emmanouilidis, Stelios, Hauber, Klaus, Piatkowski, Nico
Field-Programmable Gate Arrays (FPGAs) have asserted themselves as vital assets in contemporary computing by offering adaptable, reconfigurable hardware platforms. FPGA-based accelerators incubate opportunities for breakthroughs in areas, such as rea
Externí odkaz:
http://arxiv.org/abs/2312.15467
Autor:
Barylska, Kamila, Gogolinska, Anna, Mikulski, Lukasz, Philippou, Anna, Piatkowski, Marcin, Psara, Kyriaki
Reversible computation is an emerging computing paradigm that allows any sequence of operations to be executed in reverse order at any point during computation. Its appeal lies in its potential for lowpower computation and its relevance to a wide arr
Externí odkaz:
http://arxiv.org/abs/2311.00629
The ability to compute the exact divergence between two high-dimensional distributions is useful in many applications but doing so naively is intractable. Computing the alpha-beta divergence -- a family of divergences that includes the Kullback-Leibl
Externí odkaz:
http://arxiv.org/abs/2310.09129
Quadratic unconstrained binary optimization (QUBO) problems are well-studied, not least because they can be approached using contemporary quantum annealing or classical hardware acceleration. However, due to limited precision and hardware noise, the
Externí odkaz:
http://arxiv.org/abs/2307.02195
Autor:
Heese, Raoul, Gerlach, Thore, Mücke, Sascha, Müller, Sabine, Jakobs, Matthias, Piatkowski, Nico
Methods of artificial intelligence (AI) and especially machine learning (ML) have been growing ever more complex, and at the same time have more and more impact on people's lives. This leads to explainable AI (XAI) manifesting itself as an important
Externí odkaz:
http://arxiv.org/abs/2301.09138
Publikováno v:
Advances in Intelligent Data Analysis XXI. IDA 2023. Lecture Notes in Computer Science, vol 13876
We propose a novel definition of Shapley values with uncertain value functions based on first principles using probability theory. Such uncertain value functions can arise in the context of explainable machine learning as a result of non-deterministi
Externí odkaz:
http://arxiv.org/abs/2301.08086
Autor:
A. Pawelek, A. Piatkowski, W. Wajda, W. Skuza, A. Tarasek, W. Ozgowicz, B Grzegorczyk, Z. Ranachowski, S. Kúdela Jr, S. Kúdela
Publikováno v:
Frattura ed Integrità Strutturale, Vol 10, Iss 35 (2015)
The results of the investigation of both mechanical and acoustic emission (AE) behaviors of Mg4Li5Al alloy subjected to compression and tensile tests at room temperature are compared with the test results obtained using the same alloy and loading sch
Externí odkaz:
https://doaj.org/article/4319ecca03294224a66c0154df334295
Publikováno v:
Frattura ed Integrità Strutturale, Vol 10, Iss 35 (2015)
The work concerns the application of the acoustic emission (AE) method in testing the mechanical properties of continuously cast industrial tin bronze CuSn6P, which reveals tendencies to instable plastic flow connected particularly with the Portevin-
Externí odkaz:
https://doaj.org/article/ce7034fc0f884e75a798d0996c8845a0