Luca Dede'
Computational Mechanics · 2005–2020
A researcher in the Science corpus: 6 papers; trusts 91 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 92 citations into it; #2,560 of 10,001 by trust here, #1,651 by citations
- Mechanics of Materials — 53 citations into it
- Computational Theory and Mathematics — 43 citations into it; #3,751 of 12,182 by trust here, #5,046 by citations
- Civil and Structural Engineering — 28 citations into it; #1,502 of 6,160 by trust here, #3,410 by citations
- Computer Graphics and Computer-Aided Design — 15 citations into it
- Numerical Analysis — 14 citations into it
- Statistical and Nonlinear Physics — 14 citations into it; #7,821 of 10,127 by trust here, #9,324 by citations
- Artificial Intelligence — 13 citations into it
Whom Luca Dede' trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas J. R. Hughes
- Yuri Bazilevs
- Ole Sigmund
- Maizar Raissi
- Michael Y. Wang
- Grégoire Allaire
- Bijan Mohammadi
- Roland Becker
- Victor Manuel Calo
- J. Cottrell
Who trusts Luca Dede' overall
- Yingjun Wang
- Xiaoping Qian
- Rouhollah Tavakoli
- Hugo Casquero
- Anna Tagliabue
- Dominik Schillinger
- David J. Benson
- Stefania Fresca
- Hang Xu
- Carles Bona-Casas
Papers from Luca Dede''s perspective
Ordered by how strongly the researchers Luca Dede' trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Isogeometric Analysis for Topology Optimization with a Phase Field Model (2012) — 305 citations
- A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs (2020) — 348 citations
- MATHICSE Technical Report : Isogeometric analysis of high order partial differential equations on surfaces (2015) — 94 citations
- Isogeometric Analysis and error estimates for high order partial differential equations in Fluid Dynamics (2014) — 140 citations
- An Isogeometric design-through-analysis methodology based on adaptive hierarchical refinement of NURBS, immersed boundary methods, and T-spline CAD surfaces (2012) — 498 citations
- Optimal Control and Numerical Adaptivity for Advection-Diffusion Equations (2005) — 50 citations