Marios Mattheakis

Statistical and Nonlinear Physics · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 20 citations into it
• AI for Physical Sciences — 8 citations into it
• Atmospheric Science — 5 citations into it

Whom Marios Mattheakis trusts overall

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

1. Justin A. Sirignano
2. Maizar Raissi
3. Julia Ling
4. Konstantinos Spiliopoulos
5. Kurt Hornik
6. Giuseppe Carleo
7. Isaac E. Lagaris
8. Jiequn Han
9. Paris Perdikaris
10. Adam Paszke

Papers from Marios Mattheakis's perspective

Ordered by how strongly the researchers Marios Mattheakis 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. Long Short-Term Memory
3. Automatic differentiation in PyTorch
4. Gradient-based learning applied to document recognition
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet classification with deep convolutional neural networks
7. Learning Multiple Layers of Features from Tiny Images
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Neural Ordinary Differential Equations
10. Artificial neural networks for solving ordinary and partial differential equations

Their papers

• Hamiltonian Neural Networks for solving differential equations (2020) — 41 citations
• Physical Symmetries Embedded in Neural Networks (2019) — 86 citations