Luca Di Persio
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Finance — 9 citations into it; #10,414 of 10,518 by trust here, #10,047 by citations
- Economics and Econometrics — 7 citations into it; #23,236 of 23,481 by trust here, #22,774 by citations
- Management Science and Operations Research — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Luca Di Persio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Hubert W. Lilliefors
- Jimmy Ba
- Sepp Hochreiter
- Yoshua Bengio
- Xavier Glorot
- Réka Albert
- Albert-László Barabási
- Thorsten Thadewald
- Andrew G. Haldane
Who trusts Luca Di Persio overall
- M. Ugur Gudelek
- Omer Berat Sezer
- Ehsan Hoseinzade
- David M. Q. Nelson
- A. Elsaid
- Jimmy Ming-Thai Wu
- A. Ozbayoglu
- Sabeen Ahmed
- O. Honchar
- Saman Haratizadeh
Papers from Luca Di Persio's perspective
Ordered by how strongly the researchers Luca Di Persio trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Gibbs sampling approach to regime switching analysis of financial time series (2016) — 29 citations
- Stochastic Modeling of Wind Derivatives in Energy Markets (2018) — 46 citations
- Recurrent Neural Networks Approach to the Financial Forecast of Google Assets (2017) — 104 citations
- Default Contagion in Financial Networks (2016) — 11 citations
- Artificial Neural Networks architectures for stock price prediction: comparisons and applications (2016) — 220 citations
- Artificial Neural Networks Approach to the Forecast of Stock Market Price Movements (2016) — 67 citations
- Maximum Likelihood Approach to Markov Switching Models (2015) — 13 citations