Ehsan Haghighat
Mechanics of Materials · 2012–2020
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Mechanics of Materials — 29 citations into it
- Statistical and Nonlinear Physics — 15 citations into it
- Civil and Structural Engineering — 13 citations into it
- Computational Mechanics — 10 citations into it
- Artificial Intelligence — 8 citations into it
- AI for Physical Sciences — 7 citations into it
- Mechanical Engineering — 7 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Ehsan Haghighat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ted Belytschko
- Nicolas Moës
- Amir Reza Khoei
- William Stafford Noble
- Diederik P. Kingma
- Marc Duflot
- Brice Lecampion
- Maizar Raissi
- Cosmin Anitescu
- Justin A. Sirignano
Papers from Ehsan Haghighat's perspective
Ordered by how strongly the researchers Ehsan Haghighat trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Learning
- ImageNet classification with deep convolutional neural networks
- TensorFlow: A system for large-scale machine learning
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Understanding the difficulty of training deep feedforward neural networks
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- DGM: A deep learning algorithm for solving partial differential equations