Boyan Beronov

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Statistics and Probability — 15 citations into it
• Optimization & Training — 12 citations into it
• Computational Mechanics — 10 citations into it

Whom Boyan Beronov trusts overall

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

1. Martin Jaggi
2. Michael I. Jordan
3. Trevor Campbell
4. Matthew D. Hoffman
5. Radford M. Neal
6. Joel A. Tropp
7. Rémi Bardenet
8. Tamara Broderick
9. John K. Kruschke
10. Michael Betancourt

Who trusts Boyan Beronov overall

1. Jacky Y. Zhang

Papers from Boyan Beronov's perspective

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

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

Their papers

• Sparse Variational Inference: Bayesian Coresets from Scratch (2019) — 44 citations