Francesca Tavazza
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
Whom Francesca Tavazza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Francesca Tavazza overall
Papers from Francesca Tavazza's perspective
Ordered by how strongly the researchers Francesca Tavazza trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Improving neural networks by preventing co-adaptation of feature detectors
- 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- Deep Learning
- ImageNet classification with deep convolutional neural networks
- Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Elements of Statistical Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Their papers
- Reproducibility in density functional theory calculations of solids (2016) — 1,430 citations
- Machine learning with force-field inspired descriptors for materials: fast screening and mapping energy landscape (2018) — 144 citations
- Considerations for choosing and using force fields and interatomic potentials in materials science and engineering (2013) — 259 citations
- Recent advances and applications of deep learning methods in materials science (2021) — 995 citations
- JARVIS: An Integrated Infrastructure for Data-driven Materials Design (2020) — 371 citations