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Publication search results
found 13 matches
- 2024
- Joseph L. Hart, Indu Manickam, Mamikon A. Gulian, Laura P. Swiler, Diana Bull, T. Ehrmann, H. Brown, B. Wagman, Jerry Watkins:
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification. CoRR abs/2409.06846 (2024) - 2021
- Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS 2021 - Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr:
A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity. AAAI Spring Symposium: MLPS 2021 - Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of unity networks: deep hp-approximation. CoRR abs/2101.11256 (2021) - 2020
- Anna Lischke, Guofei Pang, Mamikon A. Gulian, Fangying Song, Christian Glusa, Xiaoning Zheng, Zhiping Mao, Wei Cai, Mark M. Meerschaert, Mark Ainsworth, George Em Karniadakis:
What is the fractional Laplacian? A comparative review with new results. J. Comput. Phys. 404 (2020) - Jesús Silva, Julio Mojica Herazo, Aurora Patricia Piñeres Castillo, Rafael Rojas, Sandra Acosta, Jesús García Guliany, Ernesto Joaquín Steffens Sanabria:
Algorithms for the Control of Key Performance Indicators for Smart Cities. ANT/EDI40 2020: 971-976 - Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML 2020: 512-536 - Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr:
A block coordinate descent optimizer for classification problems exploiting convexity. CoRR abs/2006.10123 (2020) - 2019
- Mamikon A. Gulian, Maziar Raissi, Paris Perdikaris, George E. Karniadakis:
Machine Learning of Space-Fractional Differential Equations. SIAM J. Sci. Comput. 41(4): A2485-A2509 (2019) - Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR abs/1912.04862 (2019) - 2018
- Mamikon A. Gulian, Maziar Raissi, Paris Perdikaris, George E. Karniadakis:
Machine Learning of Space-Fractional Differential Equations. CoRR abs/1808.00931 (2018) - 2016
- Mikael Fagerström, Emre Emir Ismail, Grischa Liebel, Rohit Guliani, Fredrik Larsson, Karin Nordling, Eric Knauss, Patrizio Pelliccione:
Verdict machinery: on the need to automatically make sense of test results. ISSTA 2016: 225-234 - 1982
- E. M. Bate, Frank Fallside, E. Gulian, P. Hinds, C. Keiller:
A speech training aid for the deaf with display of voicing, frication and silence. ICASSP 1982: 743-746
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