Zobrazeno 1 - 10
of 48 785
pro vyhledávání: '"A. Novack"'
Publikováno v:
NIM Marketing Intelligence Review. Nov2024, Vol. 16 Issue 2, p52-57. 6p.
Autor:
Daly, Ann, Siegel, Marcia B., Halprin, Anna, Ross, Janice, Novack, Cynthia J., Hay, Deborah, Banes, Sally, Driver, Senta, Copeland, Roger, Foster, Susan L.
Publikováno v:
TDR (1988-), 1992 Apr 01. 36(1), 48-69.
Externí odkaz:
https://www.jstor.org/stable/1146179
Autor:
Sklar, Deidre
Publikováno v:
Dance Research Journal, 1997 Apr 01. 29(1), 111-115.
Externí odkaz:
https://www.jstor.org/stable/1478250
We study a class of semilinear free boundary problems in which admissible functions $u$ have a topological constraint, or spanning condition, on their 1-level set. This constraint forces $\{u=1\}$, which is the free boundary, to behave like a surface
Externí odkaz:
http://arxiv.org/abs/2412.01813
Autor:
Gao, Mingye, Varshney, Aman, Chen, Shan, Goddla, Vikram, Gallifant, Jack, Doyle, Patrick, Novack, Claire, Dillon-Martin, Maeve, Perkins, Teresia, Correia, Xinrong, Duhaime, Erik, Isenstein, Howard, Sharon, Elad, Lehmann, Lisa Soleymani, Kozono, David, Anthony, Brian, Dligach, Dmitriy, Bitterman, Danielle S.
Cancer clinical trials often face challenges in recruitment and engagement due to a lack of participant-facing informational and educational resources. This study investigated the potential of Large Language Models (LLMs), specifically GPT4, in gener
Externí odkaz:
http://arxiv.org/abs/2412.01955
Autor:
Wooldridge, Tom1 (AUTHOR) tw@gmail.com
Publikováno v:
Psychoanalytic Dialogues. Mar-Apr2021, Vol. 31 Issue 2, p197-204. 8p.
Autor:
Novack, Zachary, Zhu, Ge, Casebeer, Jonah, McAuley, Julian, Berg-Kirkpatrick, Taylor, Bryan, Nicholas J.
Despite advances in diffusion-based text-to-music (TTM) methods, efficient, high-quality generation remains a challenge. We introduce Presto!, an approach to inference acceleration for score-based diffusion transformers via reducing both sampling ste
Externí odkaz:
http://arxiv.org/abs/2410.05167
Modeling temporal characteristics plays a significant role in the representation learning of audio waveform. We propose Contrastive Long-form Language-Audio Pretraining (\textbf{CoLLAP}) to significantly extend the perception window for both the inpu
Externí odkaz:
http://arxiv.org/abs/2410.02271
The recent explosion of generative AI-Music systems has raised numerous concerns over data copyright, licensing music from musicians, and the conflict between open-source AI and large prestige companies. Such issues highlight the need for publicly av
Externí odkaz:
http://arxiv.org/abs/2409.10831
Autor:
Wu, Junda, Novack, Zachary, Namburi, Amit, Dai, Jiaheng, Dong, Hao-Wen, Xie, Zhouhang, Chen, Carol, McAuley, Julian
Existing music captioning methods are limited to generating concise global descriptions of short music clips, which fail to capture fine-grained musical characteristics and time-aware musical changes. To address these limitations, we propose FUTGA, a
Externí odkaz:
http://arxiv.org/abs/2407.20445