Valentin Dalibard
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 116 citations into it
- Reinforcement Learning — 59 citations into it
- Optimization & Training — 31 citations into it
- Control and Systems Engineering — 7 citations into it
Whom Valentin Dalibard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- James Bergstra
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Jasper Snoek
- Yann LeCun
- Frank Hutter
- Alex Graves
- Radford M. Neal
Who trusts Valentin Dalibard overall
- Liam Li
- Tong Yu
- Gaurav Menghani
- Eric Liang
- Emilio Parisotto
- Wojciech M. Czarnecki
- Tal Ben-Nun
- Andrea Gesmundo
- Shauharda Khadka
- Esteban Real
Papers from Valentin Dalibard's perspective
Ordered by how strongly the researchers Valentin Dalibard trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Grandmaster level in StarCraft II using multi-agent reinforcement learning (2019) — 4,437 citations
- Population Based Training of Neural Networks (2017) — 896 citations
- Open-Ended Learning Leads to Generally Capable Agents (2021) — 230 citations
- A Generalized Framework for Population Based Training (2019) — 73 citations