Zobrazeno 1 - 10
of 5 238
pro vyhledávání: '"Ney, P."'
Autor:
Schmalen, Laurent, Lauinger, Vincent, Ney, Jonas, Wehn, Norbert, Matalla, Patrick, Randel, Sebastian, von Bank, Alexander, Edelmann, Eike-Manuel
In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.<
Externí odkaz:
http://arxiv.org/abs/2411.10101
This paper explores the rapid development of a telephone call summarization system utilizing large language models (LLMs). Our approach involves initial experiments with prompting existing LLMs to generate summaries of telephone conversations, follow
Externí odkaz:
http://arxiv.org/abs/2410.18624
We sometimes observe monotonically decreasing cross-attention weights in our Conformer-based global attention-based encoder-decoder (AED) models. Further investigation shows that the Conformer encoder internally reverses the sequence in the time dime
Externí odkaz:
http://arxiv.org/abs/2410.00680
The ever-increasing demand for higher data rates in communication systems intensifies the need for advanced non-linear equalizers capable of higher performance. Recently artificial neural networks (ANNs) were introduced as a viable candidate for adva
Externí odkaz:
http://arxiv.org/abs/2409.08698
In statistical classification/multiple hypothesis testing and machine learning, a model distribution estimated from the training data is usually applied to replace the unknown true distribution in the Bayes decision rule, which introduces a mismatch
Externí odkaz:
http://arxiv.org/abs/2409.01309
The ongoing research scenario for automatic speech recognition (ASR) envisions a clear division between end-to-end approaches and classic modular systems. Even though a high-level comparison between the two approaches in terms of their requirements a
Externí odkaz:
http://arxiv.org/abs/2407.11641
Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA
Autor:
Ney, Jonas, Wehn, Norbert
The ever-increasing data rates of modern communication systems lead to severe distortions of the communication signal, imposing great challenges to state-of-the-art signal processing algorithms. In this context, neural network (NN)-based equalizers a
Externí odkaz:
http://arxiv.org/abs/2407.02967
Autor:
Garcia-Rubio, F., Tranchant, V., Hansen, E. C., Tabassum, R., Reyes, A., Rahman, H. U., Ney, P., Ruskov, E., Tzeferacos, P.
The temporal evolution of weak shocks in radiative media is theoretically investigated in this work. The structure of radiative shocks has traditionally been studied in a stationary framework. Their systematic classification is complex because layers
Externí odkaz:
http://arxiv.org/abs/2405.19445
Autor:
Bac, Seul-Ki, Mardelé, Florian le, Wang, Jiashu, Ozerov, Mykhaylo, Yoshimura, Kota, Mohelský, Ivan, Sun, Xingdan, Piot, Benjamin, Wimmer, Stefan, Ney, Andreas, Orlova, Tatyana, Zhukovskyi, Maksym, Bauer, Günther, Springholz, Gunther, Liu, Xinyu, Orlita, Milan, Park, Kyungwha, Hsu, Yi-Ting, Assaf, Badih A.
Probing the quantum geometry and topology in condensed matter systems has relied heavily on static electronic transport experiments in magnetic fields. Yet, contact-free optical measurements have rarely been explored. Magnetic dichroism (MCD), the no
Externí odkaz:
http://arxiv.org/abs/2405.15689
Autor:
Bastardo, José, Luiggi, Ney
Although Gillespie's algorithm is justified under a set of axioms based on the assumption of homogeneity of the system, many chemical systems deviate from this assumption, as is the case for reactions taking place in low-mobility media. Using instead
Externí odkaz:
http://arxiv.org/abs/2405.03922