Zobrazeno 1 - 10
of 20 803
pro vyhledávání: '"P. A. Manning"'
While compositional accounts of human language understanding are based on a hierarchical tree-like process, neural models like transformers lack a direct inductive bias for such tree structures. Introducing syntactic inductive biases could unlock mor
Externí odkaz:
http://arxiv.org/abs/2411.18885
Autor:
Ottomano, Federico, Goulermas, John Y., Gusev, Vladimir, Savani, Rahul, Gaultois, Michael W., Manning, Troy D., Lin, Hai, Manzanera, Teresa P., Poole, Emmeline G., Dyer, Matthew S., Claridge, John B., Alaria, Jon, Daniels, Luke M., Varma, Su, Rimmer, David, Sanderson, Kevin, Rosseinsky, Matthew J.
Machine Learning (ML) has offered innovative perspectives for accelerating the discovery of new functional materials, leveraging the increasing availability of material databases. Despite the promising advances, data-driven methods face constraints i
Externí odkaz:
http://arxiv.org/abs/2411.14034
Autor:
Barash, Danny, Manning, Emilie, Van Vleck, Aidan, Hirsch, Omri, Aye, Kyi Lei, Li, Jingxi, Scumpia, Philip O., Ozcan, Aydogan, Aasi, Sumaira, Rieger, Kerri E., Sarin, Kavita Y., Freifeld, Oren, Winetraub, Yonatan
Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to analyze this data and assist clinical workflow. The lack of expert label
Externí odkaz:
http://arxiv.org/abs/2411.11613
Implicit neural representations have recently demonstrated promising potential in arbitrary-scale Super-Resolution (SR) of images. Most existing methods predict the pixel in the SR image based on the queried coordinate and ensemble nearby features, o
Externí odkaz:
http://arxiv.org/abs/2411.06442
Autor:
Singh, Raushan, Glowacki, Jaroslaw, Beaud, Marius, Padovano, Federica, Manning, Robert S., Maddocks, John H.
DNA minicircles are closed double-stranded DNA (dsDNA) fragments that have been demonstrated to be an important experimental tool to understand supercoiled, or stressed, DNA mechanics, such as nucleosome positioning and DNA-protein interactions. Spec
Externí odkaz:
http://arxiv.org/abs/2411.06036
Models that rely on subword tokenization have significant drawbacks, such as sensitivity to character-level noise like spelling errors and inconsistent compression rates across different languages and scripts. While character- or byte-level models li
Externí odkaz:
http://arxiv.org/abs/2410.20771
Autor:
Jones, D. O., McGill, P., Manning, T. A., Gagliano, A., Wang, B., Coulter, D. A., Foley, R. J., Narayan, G., Villar, V. A., Braff, L., Engel, A. W., Farias, D., Lai, Z., Loertscher, K., Kutcka, J., Thorp, S., Vazquez, J.
Characterizing the host galaxies of astrophysical transients is important to many areas of astrophysics, including constraining the progenitor systems of core-collapse supernovae, correcting Type Ia supernova distances, and probabilistically classify
Externí odkaz:
http://arxiv.org/abs/2410.17322
Autor:
Cooper, Olivia R., Brammer, Gabriel, Heintz, Kasper E., Toft, Sune, Casey, Caitlin M., Setton, David J., de Graaff, Anna, Boogaard, Leindert, Cleri, Nikko J., Gillman, Steven, Gottumukkala, Rashmi, Greene, Jenny E., Gullberg, Bitten, Hirschmann, Michaela, Hviding, Raphael E., Lambrides, Erini, Leja, Joel, Long, Arianna S., Manning, Sinclaire M., Maseda, Michael V., McConachie, Ian, McKinney, Jed, Narayanan, Desika, Price, Sedona H., Strait, Victoria, Weibel, Andrea, Williams, Christina C.
The dearth of high quality spectroscopy of dusty star-forming galaxies (DSFGs) -- the main drivers of the assembly of dust and stellar mass at the peak of activity in the Universe -- greatly hinders our ability to interpret their physical processes a
Externí odkaz:
http://arxiv.org/abs/2410.08387
Autor:
Chai, Wenhao, Song, Enxin, Du, Yilun, Meng, Chenlin, Madhavan, Vashisht, Bar-Tal, Omer, Hwang, Jeng-Neng, Xie, Saining, Manning, Christopher D.
Video detailed captioning is a key task which aims to generate comprehensive and coherent textual descriptions of video content, benefiting both video understanding and generation. In this paper, we propose AuroraCap, a video captioner based on a lar
Externí odkaz:
http://arxiv.org/abs/2410.03051
We introduce NNetscape Navigator (NNetnav), a method for training web agents entirely through synthetic demonstrations. These demonstrations are collected by first interacting with a browser to generate trajectory rollouts, which are then retroactive
Externí odkaz:
http://arxiv.org/abs/2410.02907