Zobrazeno 1 - 10
of 8 559
pro vyhledávání: '"A, van Dalen"'
Autor:
Paul, Jithu, van Dalen, Karel N., Faragau, Andrei B., van Leijden, Rens J., Ouggaali, Mouad, Metrikine, Andrei V.
In this paper, we study the stability of a simple model of a Hyperloop vehicle resulting from the interaction between electromagnetic and aeroelastic forces for both constant and periodically varying coefficients (i.e., parametric excitation). For th
Externí odkaz:
http://arxiv.org/abs/2411.05607
Autor:
van Dalen, Joyce N. D., Levan, Andrew J., Jonker, Peter G., Malesani, Daniele B., Izzo, Luca, Sarin, Nikhil, Quirola-Vásquez, Jonathan, Sánchez, Daniel Mata, Postigo, Antonio de Ugarte, van Hoof, Agnes P. C., Torres, Manuel A. P., Schulze, Steve, Littlefair, Stuart P., Chrimes, Ashley, Ravasio, Maria E., Bauer, Franz E., Martin-Carrillo, Antonio, Fraser, Morgan, van der Horst, Alexander J., Jakobsson, Pall, O'Brien, Paul, De Pasquale, Massimiliano, Pugliese, Giovanna, Sollerman, Jesper, Tanvir, Nial R., Zafar, Tayyaba, Anderson, Joseph P., Galbany, Lluís, Gal-Yam, Avishay, Gromadzki, Mariusz, Muller-Bravo, Tomas E., Ragosta, Fabio, Terwel, Jacco H.
Detections of fast X-ray transients (FXTs) have been accrued over the last few decades. However, their origin has remained mysterious. There is now rapid progress thanks to timely discoveries and localisations with the Einstein Probe mission. Early r
Externí odkaz:
http://arxiv.org/abs/2409.19056
Automatic speech recognition (ASR) with an encoder equipped with self-attention, whether streaming or non-streaming, takes quadratic time in the length of the speech utterance. This slows down training and decoding, increase their cost, and limit the
Externí odkaz:
http://arxiv.org/abs/2409.07165
Self-supervised learning (SSL) models usually require weeks of pre-training with dozens of high-end GPUs. These models typically have a multi-headed self-attention (MHSA) context encoder. However, MHSA takes quadratic time and space in the input leng
Externí odkaz:
http://arxiv.org/abs/2407.13377
Autor:
Xu, Jie, Saravanan, Karthikeyan, van Dalen, Rogier, Mehmood, Haaris, Tuckey, David, Ozay, Mete
Federated learning (FL) allows clients to collaboratively train a global model without sharing their local data with a server. However, clients' contributions to the server can still leak sensitive information. Differential privacy (DP) addresses suc
Externí odkaz:
http://arxiv.org/abs/2405.06368
Autor:
Levan, Andrew J., Jonker, Peter G., Saccardi, Andrea, Malesani, Daniele Bjørn, Tanvir, Nial R., Izzo, Luca, Heintz, Kasper E., Sánchez, Daniel Mata, Quirola-Vásquez, Jonathan, Torres, Manuel A. P., Vergani, Susanna D., Schulze, Steve, Rossi, Andrea, D'Avanzo, Paolo, Gompertz, Benjamin, Martin-Carrillo, Antonio, Postigo, Antonio de Ugarte, Schneider, Benjamin, Yuan, Weimin, Ling, Zhixing, Zhang, Wenjie, Mao, Xuan, Liu, Yuan, Sun, Hui, Xu, Dong, Zhu, Zipei, Fernández, José Feliciano Agüí, Amati, Lorenzo, Bauer, Franz E., Campana, Sergio, Carotenuto, Francesco, Chrimes, Ashley, van Dalen, Joyce N. D., D'Elia, Valerio, Della Valle, Massimo, De Pasquale, Massimiliano, Dhillon, Vikram S., Galbany, Lluís, Gaspari, Nicola, Gianfagna, Giulia, Gomboc, Andreja, Habeeb, Nusrin, van Hoof, Agnes P. C., Hu, Youdong, Jakobsson, Pall, Julakanti, Yashaswi, Korth, Judith, Kouveliotou, Chryssa, Laskar, Tanmoy, Littlefair, Stuart P., Maiorano, Elisabetta, Mao, Jirong, Melandri, Andrea, Miller, M. Coleman, Mukherjee, Tamal, Oates, Samantha R., O'Brien, Paul, Palmerio, Jesse T., Parviainen, Hannu, Pieterse, Daniëlle L. A., Piranomonte, Silvia, Piro, Luigi, Pugliese, Giovanna, Ravasio, Maria E., Rayson, Ben, Salvaterra, Ruben, Sánchez-Ramírez, Rubén, Sarin, Nikhil, Shilling, Samuel P. R., Starling, Rhaana L. C., Tagliaferri, Gianpiero, Thakur, Aishwarya Linesh, Thöne, Christina C., Wiersema, Klaas, Worssam, Isabelle, Zafar, Tayyaba
The nature of the minute-to-hour long Fast X-ray Transients (FXTs) localised by telescopes such as Chandra, Swift, and XMM-Newton remains mysterious, with numerous models suggested for the events. Here, we report multi-wavelength observations of EP24
Externí odkaz:
http://arxiv.org/abs/2404.16350
Autor:
Granqvist, Filip, Song, Congzheng, Cahill, Áine, van Dalen, Rogier, Pelikan, Martin, Chan, Yi Sheng, Feng, Xiaojun, Krishnaswami, Natarajan, Jina, Vojta, Chitnis, Mona
Federated learning (FL) is an emerging machine learning (ML) training paradigm where clients own their data and collaborate to train a global model, without revealing any data to the server and other participants. Researchers commonly perform experim
Externí odkaz:
http://arxiv.org/abs/2404.06430
Railway transition zones (RTZs) experience higher rates of degradation compared to open tracks, which leads to increased maintenance costs and reduced vailability. Despite existing literature on railway track assessment and maintenance, effective des
Externí odkaz:
http://arxiv.org/abs/2310.07956
Autor:
van Dalen, Rogier
The Transducer (e.g. RNN-Transducer or Conformer-Transducer) generates an output label sequence as it traverses the input sequence. It is straightforward to use in streaming mode, where it generates partial hypotheses before the complete input has be
Externí odkaz:
http://arxiv.org/abs/2307.10975
Modern speech processing systems rely on self-attention. Unfortunately, token mixing with self-attention takes quadratic time in the length of the speech utterance, slowing down inference and training and increasing memory consumption. Cheaper altern
Externí odkaz:
http://arxiv.org/abs/2307.07421