E. Malatesta

Model Architectures · 2020

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

Subfields

• Model Architectures — 5 citations into it

Whom E. Malatesta trusts overall

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

1. E. Gardner

Papers from E. Malatesta's perspective

Ordered by how strongly the researchers E. Malatesta trusts endorse each paper. Same corpus, a different order for every researcher.

1. Densely Connected Convolutional Networks
2. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
3. Bayesian Learning via Stochastic Gradient Langevin Dynamics
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Deep learning with Elastic Averaging SGD
7. Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Entropic gradient descent algorithms and wide flat minima (2020) — 40 citations