Mamikon A. Gulian

Applied Mathematics · 2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Applied Mathematics — 27 citations into it
• Computational Theory and Mathematics — 23 citations into it
• Modeling and Simulation — 19 citations into it
• Artificial Intelligence — 14 citations into it
• Statistical and Nonlinear Physics — 13 citations into it
• AI for Physical Sciences — 10 citations into it
• Finance — 8 citations into it
• Numerical Methods & Scientific Computing — 8 citations into it

Whom Mamikon A. Gulian trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Maizar Raissi
2. Paris Perdikaris
3. G. Em Karniadakis
4. René L. Schilling
5. John P. Nolan
6. Steven L. Brunton
7. Carl E. Rasmussen
8. Michael D. Schmidt
9. Hod Lipson
10. Josh C. Bongard

Who trusts Mamikon A. Gulian overall

1. Guofei Pang
2. Lu Lu

Papers from Mamikon A. Gulian's perspective

Ordered by how strongly the researchers Mamikon A. Gulian trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Financial Modelling with Jump Processes
6. Distilling Free-Form Natural Laws from Experimental Data
7. Learning Multiple Layers of Features from Tiny Images
8. Automated reverse engineering of nonlinear dynamical systems
9. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
10. Regression Shrinkage and Selection via the Lasso

Their papers

• What is the fractional Laplacian? A comparative review with new results (2018) — 476 citations
• Machine Learning of Space-Fractional Differential Equations (2018) — 53 citations