Zobrazeno 1 - 10
of 43 969
pro vyhledávání: '"A, Bank"'
Autor:
von Bank, Alexander, Edelmann, Eike-Manuel, Miao, Sisi, Mandelbaum, Jonathan, Schmalen, Laurent
Spiking neural networks (SNNs) are neural networks that enable energy-efficient signal processing due to their event-based nature. This paper proposes a novel decoding algorithm for low-density parity-check (LDPC) codes that integrates SNNs into beli
Externí odkaz:
http://arxiv.org/abs/2410.11543
Autor:
Bank, Dennis, Ehlers, Simon F. G., Kortmann, Karl-Philipp, Zeller, Tobias, Cujic, Patrick, Seel, Thomas
Refrigerated truck trailers are currently mainly operated with environmentally harmful diesel units; an alternative is to operate the refrigeration unit with electrical energy. However, this requires a battery, the size of which can be reduced by usi
Externí odkaz:
http://arxiv.org/abs/2409.10414
Autor:
Bank, Hasan Sinan, Herber, Daniel R.
In the realm of document engineering and Natural Language Processing (NLP), the integration of digitally born catalogs into product design processes presents a novel avenue for enhancing information extraction and interoperability. This paper introdu
Externí odkaz:
http://arxiv.org/abs/2408.08238
This paper proposes to parameterize open loop controls in stochastic optimal control problems via suitable classes of functionals depending on the driver's path signature, a concept adopted from rough path integration theory. We rigorously prove that
Externí odkaz:
http://arxiv.org/abs/2406.01585
We propose an energy-efficient equalizer for IM/DD systems based on spiking neural networks. We optimize a neural spike encoding that boosts the equalizer's performance while decreasing energy consumption.
Comment: Accepted for publication at OF
Comment: Accepted for publication at OF
Externí odkaz:
http://arxiv.org/abs/2312.12909
Autor:
Yao, Kan, Fang, Jie, Jiang, Taizhi, Briggs, Andrew F., Skipper, Alec M., Kim, Youngsun, Belkin, Mikhail A., Korgel, Brian A., Bank, Seth R., Zheng, Yuebing
Optically resonant particles are key building blocks of many nanophotonic devices such as optical antennas and metasurfaces. Because the functionalities of such devices are largely determined by the optical properties of individual resonators, extend
Externí odkaz:
http://arxiv.org/abs/2311.06488
Autor:
Yu, Zifan, Tavakoli, Erfan Bank, Chen, Meida, You, Suya, Rao, Raghuveer, Agarwal, Sanjeev, Ren, Fengbo
The area of Video Camouflaged Object Detection (VCOD) presents unique challenges in the field of computer vision due to texture similarities between target objects and their surroundings, as well as irregular motion patterns caused by both objects an
Externí odkaz:
http://arxiv.org/abs/2311.02535
Autor:
Li, Juan, Bank, Claudia
Dominance is usually considered a constant value that describes the relative difference in fitness or phenotype between heterozygotes and the average of homozygotes at a focal polymorphic locus. However, the observed dominance can vary with the genet
Externí odkaz:
http://arxiv.org/abs/2310.04730
In this work, we introduce a novel pricing methodology in general, possibly non-Markovian local stochastic volatility (LSV) models. We observe that by conditioning the LSV dynamics on the Brownian motion that drives the volatility, one obtains a time
Externí odkaz:
http://arxiv.org/abs/2307.09216
We propose a price impact model where changes in prices are purely driven by the order flow in the market. The stochastic price impact of market orders and the arrival rates of limit and market orders are functions of the market liquidity process whi
Externí odkaz:
http://arxiv.org/abs/2306.00621