Axel Chemla-Romeu-Santos

Generative Models · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #17,123 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 9 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Axel Chemla-Romeu-Santos trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Radford M. Neal
4. L. V. D. van der Maaten
5. Jimmy Ba
6. Yoshua Bengio
7. Aäron van den Oord
8. Alex Krizhevsky
9. Casper Kaae Sønderby
10. Danilo Jimenez Rezende

Who trusts Axel Chemla-Romeu-Santos overall

1. Antoine Caillon
2. Philippe Esling

Papers from Axel Chemla-Romeu-Santos's perspective

Ordered by how strongly the researchers Axel Chemla-Romeu-Santos trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Universal audio synthesizer control with normalizing flows (2019) — 46 citations
• Generative timbre spaces: regularizing variational auto-encoders with perceptual metrics (2018) — 42 citations