Zobrazeno 1 - 10
of 10 466
pro vyhledávání: '"Novack, A"'
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:
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
As the focus of quantum science shifts from basic research to development and implementation of applied quantum technology, calls for a robust, diverse quantum workforce have increased. However, little research has been done on the design and impact
Externí odkaz:
http://arxiv.org/abs/2407.14698
Controllable music generation methods are critical for human-centered AI-based music creation, but are currently limited by speed, quality, and control design trade-offs. Diffusion Inference-Time T-optimization (DITTO), in particular, offers state-of
Externí odkaz:
http://arxiv.org/abs/2405.20289
Autor:
NOVACK, JANET (AUTHOR), SCHIFRIN, MATT (AUTHOR)
Publikováno v:
Forbes. Dec2024/Jan2025, Vol. 207 Issue 6, p47-54. 6p. 4 Color Photographs, 1 Graph.
The physical quantities in a gas should vary continuously across a shock. However, the physics inherent in the compressible Euler equations is insufficient to describe the width or structure of the shock. We demonstrate the existence of weak shock pr
Externí odkaz:
http://arxiv.org/abs/2402.01581