Mamikon A. Gulian

18 papers Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification. CoRR Joseph L. Hart, Indu Manickam, Mamikon A. Gulian, Laura P. Swiler, Diana Bull, T. Ehrmann, H. Brown, B. Wagman, Jerry Watkins
2023	J	`jnl`	Solving High-Dimensional Inverse Problems with Auxiliary Uncertainty via Operator Learning with Limited Data. CoRR Joseph L. Hart, Mamikon A. Gulian, Indu Manickam, Laura P. Swiler
2022	—	`conf`	Error-in-variables modelling for operator learning. MSML Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
2022	J	`jnl`	Error-in-variables modelling for operator learning. CoRR Ravi G. Patel, Indu Manickam, Myoungkyu Lee, Mamikon A. Gulian
2021	—	`conf`	A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity. AAAI Spring Symposium: MLPS Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Analysis of Anisotropic Nonlocal Diffusion Models: Well-posedness of Fractional Problems for Anomalous Transport. CoRR Marta D'Elia, Mamikon A. Gulian
2021	—	`conf`	Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Partition of unity networks: deep hp-approximation. CoRR Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021	J	`jnl`	Probabilistic partition of unity networks: clustering based deep approximation. CoRR Nathaniel Trask, Mamikon A. Gulian, Andy Huang, Kookjin Lee
2020	J	`jnl`	A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges. CoRR Laura P. Swiler, Mamikon A. Gulian, Ari Frankel, Cosmin Safta, John D. Jakeman
2020	J	`jnl`	A block coordinate descent optimizer for classification problems exploiting convexity. CoRR Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr
2020	J	`jnl`	Data-driven learning of robust nonlocal physics from high-fidelity synthetic data. CoRR Huaiqian You, Yue Yu, Nathaniel Trask, Mamikon A. Gulian, Marta D'Elia
2020	J	`jnl`	Gaussian Process Regression constrained by Boundary Value Problems. CoRR Mamikon A. Gulian, Ari Frankel, Laura P. Swiler
2020	—	`conf`	Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
2020	J	`jnl`	What is the fractional Laplacian? A comparative review with new results. J. Comput. Phys. 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
2019	J	`jnl`	Machine Learning of Space-Fractional Differential Equations. SIAM J. Sci. Comput. Mamikon A. Gulian, Maziar Raissi, Paris Perdikaris, George E. Karniadakis
2019	J	`jnl`	Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
2018	J	`jnl`	Machine Learning of Space-Fractional Differential Equations. CoRR Mamikon A. Gulian, Maziar Raissi, Paris Perdikaris, George E. Karniadakis