Zobrazeno 1 - 10
of 13 018
pro vyhledávání: '"A. Advani"'
Eco-driving has been shown to reduce energy consumption for electric vehicles (EVs). Such strategies can also be implemented to both reduce energy consumption and improve battery lifetime. This study considers the eco-driving of a connected electric
Externí odkaz:
http://arxiv.org/abs/2410.01685
Fair division is typically framed from a centralized perspective. We study a decentralized variant of fair division inspired by the dynamics observed in community-based targeting, mutual aid networks, and community resource management paradigms. We d
Externí odkaz:
http://arxiv.org/abs/2408.07821
Autor:
Littwin, Etai, Saremi, Omid, Advani, Madhu, Thilak, Vimal, Nakkiran, Preetum, Huang, Chen, Susskind, Joshua
Two competing paradigms exist for self-supervised learning of data representations. Joint Embedding Predictive Architecture (JEPA) is a class of architectures in which semantically similar inputs are encoded into representations that are predictive o
Externí odkaz:
http://arxiv.org/abs/2407.03475
We present an accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. We try to simplify the mathematical details as much as possible (sometimes heuristically), w
Externí odkaz:
http://arxiv.org/abs/2406.08929
Autor:
N. G. Daver, P. Montesinos, A. Aribi, G. Martinelli, J. Altman, G. Roboz, E. S. Wang, P. W. Burke, D. Jeyakumar, R. B. Walter, D. J. DeAngelo, H. P. Erba, A. Advani, L. Gastaud, X. Thomas, E. Todisco, N. Pemmaraju, L. Mendez, A. de la Fuente, G. Gaidano, A. Curti, N. Boissel, C. Recher, C. Schliemann, P. Vyas, C. M. Sloss, J. Wang, K. A. Malcolm, P. A. Zweidler-McKay, K. L. Sweet
Publikováno v:
HemaSphere, Vol 6, Pp 454-455 (2022)
Externí odkaz:
https://doaj.org/article/ead83ca269f742b4922e5886fc971b79
Autor:
Du, Wei, Advani, Laksh, Gambhir, Yashmeet, Perry, Daniel J, Shiralkar, Prashant, Xing, Zhengzheng, Colak, Aaron
Large language models (LLMs) have demonstrated significant capability to generalize across a large number of NLP tasks. For industry applications, it is imperative to assess the performance of the LLM on unlabeled production data from time to time to
Externí odkaz:
http://arxiv.org/abs/2309.05619
Autor:
Advani, Bhavya, author, Sachan, Anshita, author, Sahu, Udit Kumar, author, Pradhan, Ashis Kumar, author
Publikováno v:
Modeling Economic Growth in Contemporary India
Autor:
Advani, Rishi, Asudeh, Abolfazl
The maximum independent set problem is a classical NP-hard problem in theoretical computer science. In this work, we study a special case where the family of graphs considered is restricted to intersection graphs of sets of axis-aligned hyperrectangl
Externí odkaz:
http://arxiv.org/abs/2307.13261
The training process of neural networks is known to be time-consuming, and having a deep architecture only aggravates the issue. This process consists mostly of matrix operations, among which matrix multiplication is the bottleneck. Several sampling-
Externí odkaz:
http://arxiv.org/abs/2306.09293
Autor:
Yousif M. Abdelmoneim, MD, Yanyan Lou, MD PhD, Pooja Advani, MD, Andras Khoor, MD PhD, Akash Sharma, MD, Ephraim E. Parent, MD PhD
Publikováno v:
Radiology Case Reports, Vol 20, Iss 1, Pp 801-804 (2025)
Breast carcinomas are well known for expression of estrogen receptor (ER) however there are other malignancies that are also express ER, possibly confounding the diagnostic interpretation of 16α-[18F]fluoro-17β-estradiol (FES; Cerianna GE HealthCar
Externí odkaz:
https://doaj.org/article/8bd3e53b6fa14942ac35b0cde23a8f94