Jorge Bravo-Abad

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Reinforcement Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jorge Bravo-Abad trusts overall

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

1. Martin L. Puterman
2. Carl Doersch
3. Deborah A. Maranville
4. Ronald H. W. Hoppe

Papers from Jorge Bravo-Abad's perspective

Ordered by how strongly the researchers Jorge Bravo-Abad trusts endorse each paper. Same corpus, a different order for every researcher.

1. Playing Atari with Deep Reinforcement Learning (arXiv.org)
2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
3. Markov Decision Processes: Discrete Stochastic Dynamic Programming
4. Introduction to Reinforcement Learning
5. Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
6. Tutorial on Variational Autoencoders
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Finite element methods for Maxwell's equations (Mathematics of Computation)
10. A Generative Model for Inverse Design of Metamaterials

Their papers

• Deep learning enabled inverse design in nanophotonics (2020) — 473 citations