Ant'onio G'ois

Probabilistic & Bayesian Methods · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 32 citations into it
• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 7 citations into it

Whom Ant'onio G'ois trusts overall

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

1. Nir Friedman
2. Daniel Eaton
3. David Maxwell Chickering
4. Jack Kuipers
5. David E. Heckerman
6. Tom L. Burr
7. David Madigan
8. Martin L. Puterman
9. Yoshua Bengio
10. Daphne Koller

Papers from Ant'onio G'ois's perspective

Ordered by how strongly the researchers Ant'onio G'ois trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Bayesian Structure Learning with Generative Flow Networks (2022) — 202 citations