Bruno Sericola
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #22,007 of 35,345 by trust here, #22,463 by citations
- Computer Vision and Pattern Recognition — 30 citations into it; #13,634 of 21,575 by trust here, #14,822 by citations
- Optimization & Training — 26 citations into it
- Generative Models — 12 citations into it
Whom Bruno Sericola trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- L. Eon Bottou
- Kaiming He
- Ilya Sutskever
- Christian Szegedy
- David E. Rumelhart
Who trusts Bruno Sericola overall
Papers from Bruno Sericola's perspective
Ordered by how strongly the researchers Bruno Sericola trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets (2018) — 226 citations
- Distributed deep learning on edge-devices: Feasibility via adaptive compression (2017) — 70 citations
- Occupation times in markov processes (2000) — 76 citations