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ORCIDMartin J. Mohlenkamp
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Journal Articles
- 2021
[j7]Adrian J. Green
, Martin J. Mohlenkamp, Jhuma Das, Meenal Chaudhari, Lisa Truong, Robyn L. Tanguay, David M. Reif:
Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput. Biol. 17(7) (2021)- 2019
- [j6]Martin J. Mohlenkamp:
The Dynamics of Swamps in the Canonical Tensor Approximation Problem. SIAM J. Appl. Dyn. Syst. 18(3): 1293-1333 (2019) - 2018
- [j5]Xue Gong, Martin J. Mohlenkamp, Todd R. Young:
The Optimization Landscape for Fitting a Rank-2 Tensor with a Rank-1 Tensor. SIAM J. Appl. Dyn. Syst. 17(2): 1432-1477 (2018) - 2012
- [j4]Martin J. Mohlenkamp:
Capturing the Interelectron Cusp Using a Geminal Layer on an Unconstrained Sum of Slater Determinants. SIAM J. Appl. Math. 72(6): 1742-1771 (2012) - 2011
- [j3]Mayeul d'Avezac, Ryan Botts, Martin J. Mohlenkamp, Alex Zunger:
Learning to Predict Physical Properties using Sums of Separable Functions. SIAM J. Sci. Comput. 33(6): 3381-3401 (2011) - 2009
- [j2]Gregory Beylkin, Jochen Garcke, Martin J. Mohlenkamp:
Multivariate Regression and Machine Learning with Sums of Separable Functions. SIAM J. Sci. Comput. 31(3): 1840-1857 (2009) - 2005
- [j1]Gregory Beylkin, Martin J. Mohlenkamp:
Algorithms for Numerical Analysis in High Dimensions. SIAM J. Sci. Comput. 26(6): 2133-2159 (2005)
Coauthor Index
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