J. Janzing

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Causal Inference & Discovery — 21 citations into it; #302 of 364 by trust here, #111 by citations
• Statistics and Probability — 21 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom J. Janzing trusts overall

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

1. Dominik Janzing
2. Joris M. Mooij
3. Bernhard Schölkopf
4. Jan Peters
5. Arthur Gretton
6. Carl E. Rasmussen
7. Peter Buhlmann
8. Aapo Hyvärinen
9. Jorma Rissanen
10. Kun Zhang

Who trusts J. Janzing overall

1. Bernhard Schölkopf
2. David Lopez-Paz
3. Diviyan Kalainathan
4. Kailash Budhathoki
5. Joris M. Mooij
6. Olivier Goudet

Papers from J. Janzing's perspective

Ordered by how strongly the researchers J. Janzing 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. Information Theory: 1948-1998 - Guest Editorial
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. Long Short-Term Memory
9. Causality : Models , Reasoning , and Inference
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014) — 445 citations