Zobrazeno 1 - 10
of 6 623
pro vyhledávání: '"Olvera, P."'
Large-scale pre-trained audio and image models demonstrate an unprecedented degree of generalization, making them suitable for a wide range of applications. Here, we tackle the specific task of sound-prompted segmentation, aiming to segment image reg
Externí odkaz:
http://arxiv.org/abs/2412.01488
Autor:
Tonneau, Manuel, Liu, Diyi, Malhotra, Niyati, Hale, Scott A., Fraiberger, Samuel P., Orozco-Olvera, Victor, Röttger, Paul
To tackle the global challenge of online hate speech, a large body of research has developed detection models to flag hate speech in the sea of online content. Yet, due to systematic biases in evaluation datasets, detection performance in real-world
Externí odkaz:
http://arxiv.org/abs/2411.15462
Short- and long-term relationships between the Yucatan Channel transport and the Loop Current System
Autor:
Moreles, Efraín, Martínez-López, Benjamín, Higuera-Parra, Susana, Olvera-Prado, Erick R., Zavala-Hidalgo, Jorge
This work uses twin 22-year free-running simulations of the Gulf of Mexico hydrodynamics performed with the HYCOM, one considering only ocean dynamics and the other incorporating atmospheric forcing, to study the behavior of the Yucatan Channel trans
Externí odkaz:
http://arxiv.org/abs/2411.02202
Multimodal large language models have fueled progress in image captioning. These models, fine-tuned on vast image datasets, exhibit a deep understanding of semantic concepts. In this work, we show that this ability can be re-purposed for audio captio
Externí odkaz:
http://arxiv.org/abs/2410.05997
Audio-text models trained via contrastive learning offer a practical approach to perform audio classification through natural language prompts, such as "this is a sound of" followed by category names. In this work, we explore alternative prompt templ
Externí odkaz:
http://arxiv.org/abs/2409.13676
Autor:
Borthakur, Sanchayeeta, Padave, Mansi, Heckman, Timothy, Gim, Hansung B., Olvera, Alejandro J., Koplitz, Brad, Momjian, Emmanuel, Jansen, Rolf A., Thilker, David, Kauffman, Guinevere, Fox, Andrew J., Tumlinson, Jason, Kennicutt, Robert C., Nelson, Dylan, Monckiewicz, Jacqueline, Naab, Thorsten
We present the Deciphering the Interplay between the Interstellar medium, Stars, and the Circumgalactic medium (DIISC) Survey. This survey is designed to investigate the correlations in properties between the circumgalactic medium (CGM), the interste
Externí odkaz:
http://arxiv.org/abs/2409.12554
Publikováno v:
DCASE, Oct 2024, Tokyo, Japan
Machine listening systems often rely on fixed taxonomies to organize and label audio data, key for training and evaluating deep neural networks (DNNs) and other supervised algorithms. However, such taxonomies face significant constraints: they are co
Externí odkaz:
http://arxiv.org/abs/2409.11746
Autor:
Olvera, Alejandro J., Borthakur, Sanchayeeta, Padave, Mansi, Heckman, Timothy, Gim, Hansung B., Koplitz, Brad, Dupuis, Christopher, Momjian, Emmanuel, Jansen, Rolf A.
As a part of the Deciphering the Interplay between the Interstellar medium, Stars, and the Circumgalactic medium (DIISC) survey, we investigate indirect evidence of gas inflow into the disk of the galaxy NGC 99. We combine optical spectra from the Bi
Externí odkaz:
http://arxiv.org/abs/2408.08303
Autor:
Aggarwal, Aaveg, Chen, Shih-Yuan, Kirkinis, Eleftherios, Khan, Mohammed Imran, Fan, Bei, Driscoll, Michelle M, de la Cruz, Monica Olvera
Active components incorporated in materials generate motion by inducing conformational changes in response to external fields. Magnetic fields are particularly interesting as they can actuate materials remotely. Millimeter-sized ferrofluid droplets p
Externí odkaz:
http://arxiv.org/abs/2406.08289
Autor:
Crane, Stephen A., Jimenez-Angeles, Felipe, Wang, Yiming, Macias, Luis E. Ortuno, Marmorstein, Jason G., Deng, Jiayi, Molaei, Mehdi, Petersson, E. James, Radhakrishnan, Ravi, de la Fuente-Nunez, Cesar, de la Cruz, Monica Olvera, Tu, Raymond S., Maldarelli, Charles, Dmochowski, Ivan J., Stebe, Kathleen J.
Peptide surfactants (PEPS) are studied to capture and retain rare earth elements (REEs) at air-water interfaces to enable REE separations. Peptide sequences, designed to selectively bind REEs, depend crucially on the position of ligands within their
Externí odkaz:
http://arxiv.org/abs/2404.18340