Zobrazeno 1 - 10
of 128 613
pro vyhledávání: '"P Jay"'
Autor:
Iskandarli, Leyla, Farihi, Jay, Lothringer, Joshua D., Parsons, Steven G., De Marco, Orsola, Rauch, Thomas
The Helix is a visually striking and the nearest planetary nebula, yet any companions responsible for its asymmetric morphology have yet to be identified. In 2020, low-amplitude photometric variations with a periodicity of 2.8 d were reported based o
Externí odkaz:
http://arxiv.org/abs/2410.03288
Autor:
Patil, Abhijeet, Jain, Garima, Diwakar, Harsh, Sawant, Jay, Bameta, Tripti, Rane, Swapnil, Sethi, Amit
We developed a software pipeline for quality control (QC) of histopathology whole slide images (WSIs) that segments various regions, such as blurs of different levels, tissue regions, tissue folds, and pen marks. Given the necessity and increasing av
Externí odkaz:
http://arxiv.org/abs/2410.03289
The complex interaction between the intrinsic and extrinsic state variables of strongly correlated insulator thin films is drawing interest as it shows memristive behavior that may be used in neuromorphic computing. In this study, we have observed th
Externí odkaz:
http://arxiv.org/abs/2410.02517
One of the prominent issues stifling the current generation of large language models is their limited context length. Recent proprietary models such as GPT-4 and Claude 2 have introduced longer context lengths, 8k/32k and 100k, respectively; however,
Externí odkaz:
http://arxiv.org/abs/2410.01637
Autor:
Kang, Wonjune, Jia, Junteng, Wu, Chunyang, Zhou, Wei, Lakomkin, Egor, Gaur, Yashesh, Sari, Leda, Kim, Suyoun, Li, Ke, Mahadeokar, Jay, Kalinli, Ozlem
As speech becomes an increasingly common modality for interacting with large language models (LLMs), it is becoming desirable to develop systems where LLMs can take into account users' emotions or speaking styles when providing their responses. In th
Externí odkaz:
http://arxiv.org/abs/2410.01162
Autor:
Molina, Isabella, Chomiuk, Laura, Linford, Justin D., Aydi, Elias, Mioduszewski, Amy J., Mukai, Koji, Sokolovsky, Kirill V., Strader, Jay, Craig, Peter, Dong, Dillon, Harris, Chelsea E., Nyamai, Miriam M., Rupen, Michael P., Sokoloski, Jennifer L., Walter, Frederick M., Weston, Jennifer H. S., Williams, Montana N.
V745 Sco is a Galactic symbiotic recurrent nova with nova eruptions in 1937, 1989 and 2014. We study the behavior of V745 Sco at radio wavelengths (0.6-37,GHz), covering both its 1989 and 2014 eruptions and informed by optical, X-ray, and $\gamma$-ra
Externí odkaz:
http://arxiv.org/abs/2410.01125
Autor:
Patil, Abhijeet, Diwakar, Harsh, Sawant, Jay, Kurian, Nikhil Cherian, Yadav, Subhash, Rane, Swapnil, Bameta, Tripti, Sethi, Amit
Publikováno v:
Journal of Pathology Informatics, 2023
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic softwares are vulnerable to biases and impurities in the training and test
Externí odkaz:
http://arxiv.org/abs/2409.19587
Autor:
Jiang, Yifan, Aggarwal, Kriti, Laud, Tanmay, Munir, Kashif, Pujara, Jay, Mukherjee, Subhabrata
The rapid progress of Large Language Models (LLMs) has opened up new opportunities across various domains and applications; yet it also presents challenges related to potential misuse. To mitigate such risks, red teaming has been employed as a proact
Externí odkaz:
http://arxiv.org/abs/2409.17458
Autor:
Carlin, Jeffrey L., Sand, David J., Mutlu-Pakdil, Burcin, Crnojevic, Denija, Doliva-Dolinsky, Amandine, Garling, Christopher T., Peter, Annika H. G., Brodie, Jean P., Forbes, Duncan A., Hargis, Jonathan R., Romanowsky, Aaron J., Spekkens, Kristine, Strader, Jay, Willman, Beth
We present the first comprehensive census of the satellite population around a Large Magellanic Cloud (LMC) stellar-mass galaxy, as part of the Magellanic Analog Dwarf Companions and Stellar Halos (MADCASH) survey. We have surveyed NGC 2403 (D=3.0 Mp
Externí odkaz:
http://arxiv.org/abs/2409.17437
Autor:
Zoellin, Jay, Merk, Colin, Buob, Mischa, Saad, Amr, Giesser, Samuel, Spitznagel, Tahm, Turgut, Ferhat, Santos, Rui, Zhou, Yukun, Wagner, Sigfried, Keane, Pearse A., Tham, Yih Chung, DeBuc, Delia Cabrera, Becker, Matthias D., Somfai, Gabor M.
Integrating deep learning into medical imaging is poised to greatly advance diagnostic methods but it faces challenges with generalizability. Foundation models, based on self-supervised learning, address these issues and improve data efficiency. Natu
Externí odkaz:
http://arxiv.org/abs/2409.17332