Ricardo Pio Monti

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Causal Inference & Discovery — 7 citations into it
• Signal Processing — 7 citations into it
• Statistics and Probability — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Ricardo Pio Monti trusts overall

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

1. Aapo Hyvärinen
2. Kun Zhang
3. Jan Peters
4. Tom L. Burr
5. Bernhard Schölkopf
6. Patrik O. Hoyer
7. Dominik Janzing
8. Shohei Shimizu
9. Anthony J. Bell
10. Arthur Gretton

Who trusts Ricardo Pio Monti overall

1. Xun Zheng
2. Nan Rosemary Ke
3. Chen Dan
4. Olexa Bilaniuk

Papers from Ricardo Pio Monti's perspective

Ordered by how strongly the researchers Ricardo Pio Monti 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. Gradient-based learning applied to document recognition
4. GENERATIVE ADVERSARIAL NETS
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Causal Discovery with General Non-Linear Relationships using Non-Linear ICA (2019) — 108 citations