DURHAM, N.C., Dec. 4, 2018 /PRNewswire/ -- Infinia ML, an
advanced machine learning company that delivers transformative
automation solutions and data science to enterprise businesses, is
celebrating more accepted research papers at the world's most
prestigious machine learning conference.
The Conference on Neural Information Processing Systems
(NeurIPS, formerly NIPS), which has been compared to the AI world's
version of SXSW and CES, accepted less than 21% of submitted papers
Among the accepted works is a paper co-authored by Infinia ML
Research Scientist Hongteng Xu. "Distilled Wasserstein Learning for
Word Embedding and Topic Modeling," proposes a machine learning
method for hospital patient admission records that could help
predict mortality and recommend procedures.
Dr. Xu and his colleagues are conference veterans. Infinia ML
Chief Scientist Larry Carin
co-authored three papers at NeurIPS this year, including Xu's. In
2017 he was the event's most-published researcher with ten papers.
Altogether, Dr. Carin has contributed 44 papers to the conference
since 2004. Infinia ML Data Scientist Ricardo Henao has contributed eleven since
This year's NeurIPS conference is in Montreal through Saturday December 8th, 2018.
About Infinia ML
Infinia ML is a team of advanced machine learning experts
helping enterprise clients reduce costs, increase efficiency, and
achieve breakthroughs. Infinia ML serves industries from
manufacturing and healthcare to marketing and human resources. The
company's capabilities include natural language processing,
recommendation engines, object detection, 3D image modeling and
The Durham, N.C. company is led
by Chief Executive Officer Robbie
Allen, an experienced AI entrepreneur; Chief Scientist
Lawrence Carin, Ph.D., one of the
world's most published machine learning experts; and Duke University's Vice Provost for Research and
Executive Chairman and Carrick Capital Partners Managing Director
Mike Salvino. Together, the Infinia
ML team has produced 31 patents, 11 books, 7 Ph.D.s and more than
575 published papers. Learn more at InfiniaML.com.
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SOURCE Infinia ML