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pro vyhledávání: '"Weiss, P. L."'
Autor:
Weiss, Matthew L., McDonald, Joseph, Bestor, David, Yee, Charles, Edelman, Daniel, Jones, Michael, Prout, Andrew, Bowne, Andrew, McEvoy, Lindsey, Gadepally, Vijay, Samsi, Siddharth
In this paper we address the application of pre-processing techniques to multi-channel time series data with varying lengths, which we refer to as the alignment problem, for downstream machine learning. The misalignment of multi-channel time series d
Externí odkaz:
http://arxiv.org/abs/2209.05300
Autor:
Gadepally, Vijay, Angelides, Gregory, Barbu, Andrei, Bowne, Andrew, Brattain, Laura J., Broderick, Tamara, Cabrera, Armando, Carl, Glenn, Carter, Ronisha, Cha, Miriam, Cowen, Emilie, Cummings, Jesse, Freeman, Bill, Glass, James, Goldberg, Sam, Hamilton, Mark, Heldt, Thomas, Huang, Kuan Wei, Isola, Phillip, Katz, Boris, Koerner, Jamie, Lin, Yen-Chen, Mayo, David, McAlpin, Kyle, Perron, Taylor, Piou, Jean, Rao, Hrishikesh M., Reynolds, Hayley, Samuel, Kaira, Samsi, Siddharth, Schmidt, Morgan, Shing, Leslie, Simek, Olga, Swenson, Brandon, Sze, Vivienne, Taylor, Jonathan, Tylkin, Paul, Veillette, Mark, Weiss, Matthew L, Wollaber, Allan, Yuditskaya, Sophia, Kepner, Jeremy
Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have influenced organizations such as the United States Department of the A
Externí odkaz:
http://arxiv.org/abs/2207.07033
Autor:
Tang, Benny J., Chen, Qiqi, Weiss, Matthew L., Frey, Nathan, McDonald, Joseph, Bestor, David, Yee, Charles, Arcand, William, Byun, Chansup, Edelman, Daniel, Hubbell, Matthew, Jones, Michael, Kepner, Jeremy, Klein, Anna, Michaleas, Adam, Michaleas, Peter, Milechin, Lauren, Mullen, Julia, Prout, Andrew, Reuther, Albert, Rosa, Antonio, Bowne, Andrew, McEvoy, Lindsey, Li, Baolin, Tiwari, Devesh, Gadepally, Vijay, Samsi, Siddharth
High-Performance Computing (HPC) centers and cloud providers support an increasingly diverse set of applications on heterogenous hardware. As Artificial Intelligence (AI) and Machine Learning (ML) workloads have become an increasingly larger share of
Externí odkaz:
http://arxiv.org/abs/2204.05839
Traditional frequency based projection filters, or projection operators (PO), separate signal and noise through a series of transformations which remove frequencies where noise is present. However, this technique relies on a priori knowledge of what
Externí odkaz:
http://arxiv.org/abs/2111.07140
Autor:
Li, Yuntong, Shelton, Brent J., Clair, William St, Weiss, Heidi L., Villano, John L., Stromberg, Arnold J., Wang, Chi, Chen, Li
Missing data is a common issue in many biomedical studies. Under a paired design, some subjects may have missing values in either one or both of the conditions due to loss of follow-up, insufficient biological samples, etc. Such partially paired data
Externí odkaz:
http://arxiv.org/abs/2110.12582
Autor:
Samsi, Siddharth, Weiss, Matthew L, Bestor, David, Li, Baolin, Jones, Michael, Reuther, Albert, Edelman, Daniel, Arcand, William, Byun, Chansup, Holodnack, John, Hubbell, Matthew, Kepner, Jeremy, Klein, Anna, McDonald, Joseph, Michaleas, Adam, Michaleas, Peter, Milechin, Lauren, Mullen, Julia, Yee, Charles, Price, Benjamin, Prout, Andrew, Rosa, Antonio, Vanterpool, Allan, McEvoy, Lindsey, Cheng, Anson, Tiwari, Devesh, Gadepally, Vijay
Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers and commercial cloud systems. This has led to changes in deployment app
Externí odkaz:
http://arxiv.org/abs/2108.02037
Autor:
De Oliveira, Bruno, Weiss, Michael L
Publikováno v:
Boletim da SPM 77 (December 2019)
We give a new criterion for when a resolution of a surface of general type with canonical singularities has big cotangent bundle and a new lower bound for the values of $d$ for which there is a surface with big cotangent bundle that is deformation eq
Externí odkaz:
http://arxiv.org/abs/1912.09566
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