Výsledky vyhledávání - "Aryaman Jain"

TERA: optimizing stochastic regression tests in machine learning projects

Autor: Sasa Misailovic, Jeeva Selvam, Saikat Dutta, Aryaman Jain

Publikováno v: ISSTA

The stochastic nature of many Machine Learning (ML) algorithms makes testing of ML tools and libraries challenging. ML algorithms allow a developer to control their accuracy and run-time through a set of hyper-parameters, which are typically manually

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0369160762e362094c84013b2fa646c4
https://doi.org/10.1145/3460319.3464844

Zobrazit plný text záznamu

Detecting flaky tests in probabilistic and machine learning applications

Autor: Aryaman Jain, Rutvik Choudhary, Zhekun Zhang, Sasa Misailovic, Saikat Dutta, August Shi

Publikováno v: ISSTA

Probabilistic programming systems and machine learning frameworks like Pyro, PyMC3, TensorFlow, and PyTorch provide scalable and efficient primitives for inference and training. However, such operations are non-deterministic. Hence, it is challenging

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4db4f63480cd5e11959a70db60510d3c
https://doi.org/10.1145/3395363.3397366

Zobrazit plný text záznamu

Estimation of Regional Groundwater Discharge and Baseflow Contribution in Northern Stretch of the Yamuna River System of Delhi

Autor: Shashank Shekhar, Aryaman Jain

Publikováno v: Current Science. 116:660

Urban agglomerations in India of late have started facing drinking and domestic water scarcity. The city state of Delhi has witnessed accelerated urbanization and an exponential growth in population. In this context, it is desired to locate sustainab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::30b0ecc5d1ea7f6172f67395301e5e9d
https://doi.org/10.18520/cs/v116/i4/660-664

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání