Zobrazeno 1 - 10
of 670
pro vyhledávání: '"Garcia, Rolando A."'
Autor:
Garcia, Rolando, Kallanagoudar, Pragya, Anand, Chithra, Chasins, Sarah E., Hellerstein, Joseph M., Kerrison, Erin Michelle Turner, Parameswaran, Aditya G.
In this paper we present techniques to incrementally harvest and query arbitrary metadata from machine learning pipelines, without disrupting agile practices. We center our approach on the developer-favored technique for generating metadata -- log st
Externí odkaz:
http://arxiv.org/abs/2408.02498
In this work, firstly, we propose how to experimentally demonstrate the single photon steering phenomenon in a simple way. The quantum steering phenomenon was discovered by Erwin Schrodinger, who reason that the laws of quantum mechanics obliges us t
Externí odkaz:
http://arxiv.org/abs/2407.01587
Autor:
Garcia, Rolando
Interactive notebooks, such as Jupyter, have revolutionized the field of data science by providing an integrated environment for data, code, and documentation. However, their adoption by robotics researchers and model developers has been limited. Thi
Externí odkaz:
http://arxiv.org/abs/2405.08200
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 8, CSCW1, Article 206 (April 2024)
Organizations rely on machine learning engineers (MLEs) to deploy models and maintain ML pipelines in production. Due to models' extensive reliance on fresh data, the operationalization of machine learning, or MLOps, requires MLEs to have proficiency
Externí odkaz:
http://arxiv.org/abs/2403.16795
Autor:
Garcia, Rolando, Dandamudi, Anusha, Matute, Gabriel, Wan, Lehan, Gonzalez, Joseph, Hellerstein, Joseph M., Sen, Koushik
Production Machine Learning involves continuous training: hosting multiple versions of models over time, often with many model versions running at once. When model performance does not meet expectations, Machine Learning Engineers (MLEs) debug issues
Externí odkaz:
http://arxiv.org/abs/2310.07898
Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) e
Externí odkaz:
http://arxiv.org/abs/2209.09125
Autor:
Cnossen, Ingrid, Emmert, John T., Garcia, Rolando R., Elias, Ana G., Mlynczak, Martin G., Zhang, Shun-Rong
Publikováno v:
In Advances in Space Research 1 December 2024 74(11):5991-6011
Autor:
García, Rolando, Alkayyali, Tasnim, Gomez, Luis Mosquera, Wright, Carter, Chen, Weina, Oliver, Dwight, Koduru, Prasad
Publikováno v:
In Cancer Genetics November 2024 288-289:92-105
Autor:
Garcia, Rolando, Guidi, Giulia
Coordination protocols help programmers of distributed systems reason about the effects of transactions on the state of the system, but they're not cheap. Coordination protocols may involve multiple rounds of communication, which can hurt system resp
Externí odkaz:
http://arxiv.org/abs/2109.08192
Publikováno v:
In Heliyon 30 June 2024 10(12)