Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Gautam Dasarathy"'
Autor:
Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan Turaga
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Over the last decade, deep generative models have evolved to generate realistic and sharp images. The success of these models is often attributed to an extremely large number of trainable parameters and an abundance of training data, with limited or
Externí odkaz:
https://doaj.org/article/5cdbee10724c4cb9b7894e7e03707790
Autor:
Visar Berisha, Chelsea Krantsevich, P. Richard Hahn, Shira Hahn, Gautam Dasarathy, Pavan Turaga, Julie Liss
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-8 (2021)
Abstract Digital health data are multimodal and high-dimensional. A patient’s health state can be characterized by a multitude of signals including medical imaging, clinical variables, genome sequencing, conversations between clinicians and patient
Externí odkaz:
https://doaj.org/article/c8a58a5ae25641eaac4a654dd1212a4d
Publikováno v:
IEEE Transactions on Information Theory. 68:6021-6051
We introduce a tunable loss function called $\alpha$-loss, parameterized by $\alpha \in (0,\infty]$, which interpolates between the exponential loss ($\alpha = 1/2$), the log-loss ($\alpha = 1$), and the 0-1 loss ($\alpha = \infty$), for the machine
Publikováno v:
IEEE Robotics and Automation Letters. 7:4991-4998
Autor:
Patricia Solís, Gautam Dasarathy, Pavan Turaga, Alexandria Drake, Kevin Jatin Vora, Akarshan Sajja, Ankith Raaman, Sarbeswar Praharaj, Robert Lattus
Publikováno v:
Examining the COVID Crisis from a Geographical Perspective ISBN: 9781003373544
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64243a9af10af35a12f9118a83b6b952
https://doi.org/10.4324/9781003373544-7
https://doi.org/10.4324/9781003373544-7
Autor:
Pavan Turaga, P. Richard Hahn, Shira Hahn, Visar Berisha, Gautam Dasarathy, Chelsea Krantsevich, Julie M. Liss
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-8 (2021)
NPJ Digital Medicine
NPJ Digital Medicine
Digital health data are multimodal and high-dimensional. A patient’s health state can be characterized by a multitude of signals including medical imaging, clinical variables, genome sequencing, conversations between clinicians and patients, and co
Autor:
Gautam Dasarathy, Ankith Raaman, Alexandria Drake, Patricia Solís, Robert Lattus, Sarbeswar Praharaj, Akarshan Sajja, Pavan Turaga, Kevin Jatin Vora
Publikováno v:
Geographical Review. 111:592-615
The uneven outcomes of the covid-19 pandemic in the United States can be characterized by its patchwork patterns. Given a weak national coordinated response, state-level decisions offer an important frame for analysis. This article explores how such
Accurate knowledge of transmission line parameters is essential for a variety of power system monitoring, protection, and control applications. The use of phasor measurement unit (PMU) data for transmission line parameter estimation (TLPE) is well-do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c076870a72ec25cc2317f6c8d27ebdf
http://arxiv.org/abs/2208.13105
http://arxiv.org/abs/2208.13105
Autor:
Nathan Dunkelberger, Richard G. Baraniuk, Joshua Bradley, Jennifer L. Sullivan, Marcia K. O'Malley, Gautam Dasarathy, Indu Manickam
Publikováno v:
IEEE Transactions on Haptics. 14:188-199
Communication is an important part of our daily interactions; however, communication can be hindered, either through visual or auditory impairment, or because usual communication channels are overloaded. When standard communication channels are not a
Publikováno v:
IEEE Control Syst Lett
This letter studies a topology identification problem for an electric distribution grid using sign patterns of the inverse covariance matrix of bus voltage magnitudes and angles, while accounting for hidden buses. Assuming the grid topology is sparse