Zobrazeno 1 - 10
of 1 620
pro vyhledávání: '"P. Dharmesh"'
Autor:
Blunt, Sarah, Wang, Jason Jinfei, Hirsch, Lea, Tejada, Roberto, Nagpal, Vighnesh, Surti, Tirth Dharmesh, Covarrubias, Sofia, McKenna, Thea, Chávez, Rodrigo Ferrer, Llop-Sayson, Jorge, Arora, Mireya, Chavez, Amanda, Cody, Devin, Choudhary, Saanika, Smith, Adam J. R. W., Balmer, William, Stolker, Tomas, Gallamore, Hannah, Ó, Clarissa R. Do, Nielsen, Eric L., De Rosa, Robert J.
orbitize! is a package for Bayesian modeling of the orbital parameters of resolved binary objects from time series measurements. It was developed with the needs of the high-contrast imaging community in mind, and has since also become widely used in
Externí odkaz:
http://arxiv.org/abs/2409.11573
The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert. All existing work on L2D assumes that each expert is well-identified, and if any expert were to change, the sys
Externí odkaz:
http://arxiv.org/abs/2403.02683
Autor:
Yang, Zhuoping, Ji, Shixin, Chen, Xingzhen, Zhuang, Jinming, Zhang, Weifeng, Jani, Dharmesh, Zhou, Peipei
Fast-evolving artificial intelligence (AI) algorithms such as large language models have been driving the ever-increasing computing demands in today's data centers. Heterogeneous computing with domain-specific architectures (DSAs) brings many opportu
Externí odkaz:
http://arxiv.org/abs/2311.16417
Understanding model's sensitivity to its training data is crucial but can also be challenging and costly, especially during training. To simplify such issues, we present the Memory-Perturbation Equation (MPE) which relates model's sensitivity to pert
Externí odkaz:
http://arxiv.org/abs/2310.19273
Autor:
Rouhani, Bita Darvish, Zhao, Ritchie, More, Ankit, Hall, Mathew, Khodamoradi, Alireza, Deng, Summer, Choudhary, Dhruv, Cornea, Marius, Dellinger, Eric, Denolf, Kristof, Dusan, Stosic, Elango, Venmugil, Golub, Maximilian, Heinecke, Alexander, James-Roxby, Phil, Jani, Dharmesh, Kolhe, Gaurav, Langhammer, Martin, Li, Ada, Melnick, Levi, Mesmakhosroshahi, Maral, Rodriguez, Andres, Schulte, Michael, Shafipour, Rasoul, Shao, Lei, Siu, Michael, Dubey, Pradeep, Micikevicius, Paulius, Naumov, Maxim, Verrilli, Colin, Wittig, Ralph, Burger, Doug, Chung, Eric
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications. This paper evaluates Microscaling (MX) data formats that combine a per-block scaling factor with narrow floating-point and int
Externí odkaz:
http://arxiv.org/abs/2310.10537
Publikováno v:
Indian Journal of Community Medicine, Vol 49, Iss 6, Pp 818-825 (2024)
Background: ‘Breast cancer’ the most common cancer amongst females in India. Having good Quality of life (QoL) among the patients undergoing treatment is one of the vital and significant factors for ensuring holistic approach to treatment and wel
Externí odkaz:
https://doaj.org/article/ccc03301bde54f26a0301e004af0001a
Autor:
Adiraju Karthik, Kamal Aggarwal, Aakaar Kapoor, Dharmesh Singh, Lingzhi Hu, Akash Gandhamal, Dileep Kumar
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Conventional MR acceleration techniques, such as compressed sensing, parallel imaging, and half Fourier often face limitations, including noise amplification, reduced signal-to-noise ratio (SNR) and increased susceptibility to art
Externí odkaz:
https://doaj.org/article/c54326d9786748fe9f553d6fe379f766
Autor:
Kihak Gwon, Ether Dharmesh, Kianna M. Nguyen, Anna Marie R. Schornack, Jose M. de Hoyos-Vega, Hakan Ceylan, Gulnaz Stybayeva, Quinn P. Peterson, Alexander Revzin
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Human pluripotent stem cells (hPSCs) represent an excellent cell source for regenerative medicine and tissue engineering applications. However, there remains a need for robust and scalable differentiation of stem cells into functional adult
Externí odkaz:
https://doaj.org/article/8f3caee6592e456e81bd4c902b791461
Neural Processes (NPs) are appealing due to their ability to perform fast adaptation based on a context set. This set is encoded by a latent variable, which is often assumed to follow a simple distribution. However, in real-word settings, the context
Externí odkaz:
http://arxiv.org/abs/2306.15169
Autor:
Abdulaziz A. M. Abahussain, Ahmed S. Al‐Fatesh, Dharmesh M. Vadodariya, Jehad K. Abu‐Dahrieh, Khaled M. Banabdwin, Naif Alarifi, Ahmed A. Ibrahim, Anis H. Fakeeha, Ahmed E. Abasaeed, Rawesh Kumar
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 8, Pp 3379-3389 (2024)
Abstract The catalytic partial oxidation of methane (POM) is aimed at the mitigation of CH4 (a highly potent greenhouse gas) from the environment and the synthesis of syngas with a high H2/CO ratio. Herein, to enhance the POM reaction, Ni‐supported
Externí odkaz:
https://doaj.org/article/8e7bb5b00bdc441ba4daebf2a38569ef