Luca M. Ghiringhelli
Materials Chemistry · 2005–2019
A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 69 citations into it; #3,823 of 11,513 by trust here, #3,664 by citations
- Computational Mechanics — 17 citations into it
- Artificial Intelligence — 16 citations into it
- Biomedical Engineering — 11 citations into it
- Optimization & Training — 8 citations into it
- Statistics and Probability — 7 citations into it
Whom Luca M. Ghiringhelli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Luca M. Ghiringhelli overall
- Alexander Marx
- Bryan R. Goldsmith
- Rampi Ramprasad
- Ghanshyam Pilania
- A. Mannodi‐Kanakkithodi
- Rohit Batra
- Jilles Vreeken
- Christopher J. Bartel
- A. Fasolino
- C. Draxl
Papers from Luca M. Ghiringhelli's perspective
Ordered by how strongly the researchers Luca M. Ghiringhelli trusts endorse each paper. Same corpus, a different order for every researcher.
- The Elements of Statistical Learning
- Deep Learning
- I and J
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Deconvolutional networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Compressed Sensing
- Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
Their papers
- Improved long-range reactive bond-order potential for carbon. I. Construction (Correction on vol 72, pg 214102, 2005) (2005) — 203 citations
- Big data of materials science: critical role of the descriptor. (2014) — 684 citations
- New tolerance factor to predict the stability of perovskite oxides and halides (2018) — 1,477 citations
- SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates (2017) — 557 citations
- Insightful classification of crystal structures using deep learning (2017) — 323 citations
- Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO (2019) — 170 citations