Eleni Sgouritsa

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 6 papers; trusts 22 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #8,463 of 35,345 by trust here, #5,495 by citations
• Causal Inference & Discovery — 33 citations into it; #130 of 364 by trust here, #138 by citations
• Statistics and Probability — 19 citations into it; #9,636 of 12,932 by trust here, #6,853 by citations
• Probabilistic & Bayesian Methods — 18 citations into it; #805 of 1,525 by trust here, #265 by citations
• Signal Processing — 10 citations into it; #5,480 of 7,572 by trust here, #4,750 by citations
• Control and Systems Engineering — 9 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Information Theory — 5 citations into it

Whom Eleni Sgouritsa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dominik Janzing
2. Bernhard Schölkopf
3. Jan Peters
4. Joris M. Mooij
5. Arthur Gretton
6. Tom L. Burr
7. Patrik O. Hoyer
8. Radford M. Neal
9. Shohei Shimizu
10. Alex Smola

Who trusts Eleni Sgouritsa overall

1. Bernhard Schölkopf
2. Kailash Budhathoki
3. Dominik Janzing
4. Jilles Vreeken
5. Jan Peters
6. Krikamol Muandet
7. David Lopez-Paz
8. Joris M. Mooij
9. Alexander Marx
10. Patrick Blöbaum

Papers from Eleni Sgouritsa's perspective

Ordered by how strongly the researchers Eleni Sgouritsa trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On causal and anticausal learning (2012) — 682 citations
• Consistency of Causal Inference under the Additive Noise Model (2013) — 45 citations
• Detecting low-complexity unobserved causes (2011) — 24 citations
• Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders (2013) — 16 citations
• Semi-supervised Learning in Causal and Anticausal Settings (2013) — 24 citations
• Inference of Cause and Effect with Unsupervised Inverse Regression (2015) — 80 citations