Sergio Valcarcel Macua

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 4 papers; trusts 36 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 76 citations into it; #17,274 of 35,345 by trust here, #18,186 by citations
• Reinforcement Learning — 60 citations into it
• Computer Networks and Communications — 23 citations into it; #4,714 of 9,886 by trust here, #4,757 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Optimization & Training — 15 citations into it
• Statistical and Nonlinear Physics — 15 citations into it; #4,337 of 10,127 by trust here, #3,735 by citations
• Management Science and Operations Research — 12 citations into it
• Computational Mechanics — 10 citations into it

Whom Sergio Valcarcel Macua trusts overall

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

1. Ali H. Sayed
2. Richard S. Sutton
3. Ronald J. Williams
4. Martin L. Puterman
5. Diederik P. Kingma
6. Dimitri P. Bertsekas
7. Jimmy Ba
8. John N. Tsitsiklis
9. Leemon C. Baird III
10. Yoshua Bengio

Who trusts Sergio Valcarcel Macua overall

1. Afshin Oroojlooyjadid
2. Lucas Cassano
3. Donghwan Lee
4. Yan Zhang
5. Davood Hajinezhad
6. Lihong Li
7. Yihao Feng
8. Kun Yuan
9. Ahmed Touati
10. Ali H. Sayed

Papers from Sergio Valcarcel Macua's perspective

Ordered by how strongly the researchers Sergio Valcarcel Macua 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Imitating Human Behaviour with Diffusion Models (2023) — 323 citations
• Distributed Policy Evaluation Under Multiple Behavior Strategies (2013) — 110 citations
• Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning (2017) — 31 citations
• Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning (2017) — 17 citations