Zobrazeno 1 - 10
of 2 260
pro vyhledávání: '"Kin Wai So"'
Autor:
da Silva, Rafael Ferreira, Bard, Deborah, Chard, Kyle, de Witt, Shaun, Foster, Ian T., Gibbs, Tom, Goble, Carole, Godoy, William, Gustafsson, Johan, Haus, Utz-Uwe, Hudson, Stephen, Jha, Shantenu, Los, Laila, Paine, Drew, Suter, Frédéric, Ward, Logan, Wilkinson, Sean, Amaris, Marcos, Babuji, Yadu, Bader, Jonathan, Balin, Riccardo, Balouek, Daniel, Beecroft, Sarah, Belhajjame, Khalid, Bhattarai, Rajat, Brewer, Wes, Brunk, Paul, Caino-Lores, Silvina, Casanova, Henri, Cassol, Daniela, Coleman, Jared, Coleman, Taina, Colonnelli, Iacopo, Da Silva, Anderson Andrei, de Oliveira, Daniel, Elahi, Pascal, Elfaramawy, Nour, Elwasif, Wael, Etz, Brian, Fahringer, Thomas, Ferreira, Wesley, Filgueira, Rosa, Tande, Jacob Fosso, Gadelha, Luiz, Gallo, Andy, Garijo, Daniel, Georgiou, Yiannis, Gritsch, Philipp, Grubel, Patricia, Gueroudji, Amal, Guilloteau, Quentin, Hamalainen, Carlo, Enriquez, Rolando Hong, Huet, Lauren, Kesling, Kevin Hunter, Iborra, Paula, Jahangiri, Shiva, Janssen, Jan, Jordan, Joe, Kanwal, Sehrish, Kunstmann, Liliane, Lehmann, Fabian, Leser, Ulf, Li, Chen, Liu, Peini, Luettgau, Jakob, Lupat, Richard, Fernandez, Jose M., Maheshwari, Ketan, Malik, Tanu, Marquez, Jack, Matsuda, Motohiko, Medic, Doriana, Mohammadi, Somayeh, Mulone, Alberto, Navarro, John-Luke, Ng, Kin Wai, Noelp, Klaus, Kinoshita, Bruno P., Prout, Ryan, Crusoe, Michael R., Ristov, Sashko, Robila, Stefan, Rosendo, Daniel, Rowell, Billy, Rybicki, Jedrzej, Sanchez, Hector, Saurabh, Nishant, Saurav, Sumit Kumar, Scogland, Tom, Senanayake, Dinindu, Shin, Woong, Sirvent, Raul, Skluzacek, Tyler, Sly-Delgado, Barry, Soiland-Reyes, Stian, Souza, Abel, Souza, Renan, Talia, Domenico, Tallent, Nathan, Thamsen, Lauritz, Titov, Mikhail, Tovar, Benjamin, Vahi, Karan, Vardar-Irrgang, Eric, Vartina, Edite, Wang, Yuandou, Wouters, Merridee, Yu, Qi, Bkhetan, Ziad Al, Zulfiqar, Mahnoor
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensitive workflows, AI-HPC convergence, multi-facility workflows, heterogen
Externí odkaz:
http://arxiv.org/abs/2410.14943
Autor:
Chae, Yunkee, Choi, Woosung, Takida, Yuhta, Koo, Junghyun, Ikemiya, Yukara, Zhong, Zhi, Cheuk, Kin Wai, Martínez-Ramírez, Marco A., Lee, Kyogu, Liao, Wei-Hsiang, Mitsufuji, Yuki
Recent state-of-the-art neural audio compression models have progressively adopted residual vector quantization (RVQ). Despite this success, these models employ a fixed number of codebooks per frame, which can be suboptimal in terms of rate-distortio
Externí odkaz:
http://arxiv.org/abs/2410.06016
Autor:
Lau, Kin Wai, Rehman, Yasar Abbas Ur, de Gusmão, Pedro Porto Buarque, Po, Lai-Man, Ma, Lan, Xie, Yuyang
Federated Learning (FL) has emerged as a privacy-preserving method for training machine learning models in a distributed manner on edge devices. However, on-device models face inherent computational power and memory limitations, potentially resulting
Externí odkaz:
http://arxiv.org/abs/2409.15898
Autor:
Mancusi, Michele, Halychanskyi, Yurii, Cheuk, Kin Wai, Lai, Chieh-Hsin, Uhlich, Stefan, Koo, Junghyun, Martínez-Ramírez, Marco A., Liao, Wei-Hsiang, Fabbro, Giorgio, Mitsufuji, Yuki
Music timbre transfer is a challenging task that involves modifying the timbral characteristics of an audio signal while preserving its melodic structure. In this paper, we propose a novel method based on dual diffusion bridges, trained using the Coc
Externí odkaz:
http://arxiv.org/abs/2409.06096
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation
Autor:
Luo, Yin-Jyun, Cheuk, Kin Wai, Choi, Woosung, Uesaka, Toshimitsu, Toyama, Keisuke, Saito, Koichi, Lai, Chieh-Hsin, Takida, Yuhta, Liao, Wei-Hsiang, Dixon, Simon, Mitsufuji, Yuki
Existing work on pitch and timbre disentanglement has been mostly focused on single-instrument music audio, excluding the cases where multiple instruments are presented. To fill the gap, we propose DisMix, a generative framework in which the pitch an
Externí odkaz:
http://arxiv.org/abs/2408.10807
In dense retrieval, embedding long texts into dense vectors can result in information loss, leading to inaccurate query-text matching. Additionally, low-quality texts with excessive noise or sparse key information are unlikely to align well with rele
Externí odkaz:
http://arxiv.org/abs/2407.20207
Autor:
Chen, Yu-Hua, Choi, Woosung, Liao, Wei-Hsiang, Martínez-Ramírez, Marco, Cheuk, Kin Wai, Mitsufuji, Yuki, Jang, Jyh-Shing Roger, Yang, Yi-Hsuan
Recent years have seen increasing interest in applying deep learning methods to the modeling of guitar amplifiers or effect pedals. Existing methods are mainly based on the supervised approach, requiring temporally-aligned data pairs of unprocessed a
Externí odkaz:
http://arxiv.org/abs/2406.15751
Autor:
Chan, Kin Wai
Curves over finite fields are of great importance in cryptography and coding theory. Through studying their zeta-functions, we would be able to find out vital arithmetic and geometric information about them and their Jacobians, including the number o
Externí odkaz:
http://arxiv.org/abs/2405.05711
Autor:
Chan, Kin Wai
This thesis results from an intensive study on the canonical metrics on the Teichm\"{u}ller spaces and the moduli spaces of Riemann surfaces. There are several renowned classical metrics on $T_g$ and $\mathcal{M}_g$, including the Weil-Petersson metr
Externí odkaz:
http://arxiv.org/abs/2405.00761
Recent research has successfully adapted vision-based convolutional neural network (CNN) architectures for audio recognition tasks using Mel-Spectrograms. However, these CNNs have high computational costs and memory requirements, limiting their deplo
Externí odkaz:
http://arxiv.org/abs/2404.13551