Daniele Venturi
Statistics and Probability · with Karniadakis · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 27 citations into it; #4,910 of 12,932 by trust here, #6,080 by citations
- Computational Theory and Mathematics — 17 citations into it; #4,565 of 12,182 by trust here, #6,165 by citations
- Artificial Intelligence — 12 citations into it; #14,702 of 35,345 by trust here, #23,731 by citations
- Environmental Engineering — 10 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Management Science and Operations Research — 6 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Daniele Venturi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Loic Le Gratiet
- G. Em Karniadakis
- Dongbin Xiu
- Mircea Dan Grigoriu
- Miroslav Vorechovský
- Michael E. Tipping
- Trevor J. Hastie
- Andrew Gordon Wilson
- Leslie Greengard
- Régis Lebrun
Who trusts Daniele Venturi overall
Papers from Daniele Venturi's perspective
Ordered by how strongly the researchers Daniele Venturi trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Probabilistic Principal Component Analysis
- Sparse Gaussian Processes using Pseudo-inputs
- Generalized Additive Models
- Long Short-Term Memory
- A Taxonomy of Global Optimization Methods Based on Response Surfaces
Their papers
- Karhunen-Loève expansion for multi-correlated stochastic processes (2013) — 60 citations
- Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets (2016) — 81 citations
- Multi-fidelity Gaussian process regression for prediction of random fields (2017) — 116 citations