B. Schoelkopf

Artificial Intelligence · 2009–2017

A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #13,479 of 35,345 by trust here, #16,471 by citations
• Causal Inference & Discovery — 24 citations into it; #346 of 364 by trust here, #357 by citations
• Statistics and Probability — 23 citations into it; #4,862 of 12,932 by trust here, #3,893 by citations
• Probabilistic & Bayesian Methods — 21 citations into it; #1,034 of 1,525 by trust here, #878 by citations
• Statistical Learning Theory — 19 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Atomic and Molecular Physics, and Optics — 15 citations into it
• Statistical and Nonlinear Physics — 12 citations into it

Whom B. Schoelkopf trusts overall

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

1. Dominik Janzing
2. Bernhard Schölkopf
3. Arthur Gretton
4. I-Cheng Yeh
5. J. Gerring
6. Shun-ichi Amari
7. Gregory J. Chaitin
8. Patrik O. Hoyer
9. Kun Zhang
10. Ray J. Solomonoff

Who trusts B. Schoelkopf overall

1. Bernhard Schölkopf
2. Dominik Janzing
3. Jan Peters
4. Yixin Wang
5. Youssef Mroueh
6. Uri Shalit

Papers from B. Schoelkopf's perspective

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

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

Their papers

• On the empirical estimation of integral probability metrics (2012) — 346 citations
• Detecting Confounding in Multivariate Linear Models via Spectral Analysis (2017) — 41 citations
• From optimal transport to generative modeling: the VEGAN cookbook (2017) — 154 citations
• Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference (2015) — 37 citations
• Distinguishing Cause and Effect via Second Order Exponential Models (2009) — 18 citations