Ludovit Horvath

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Optimization & Training — 32 citations into it
• Computational Mechanics — 18 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Ludovit Horvath trusts overall

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

1. Diederik P. Kingma
2. Sébastien Bubeck
3. Konstantin Mishchenko
4. Peter Richtárik
5. Sebastian U. Stich
6. Dan Alistarh
7. Yurii E. Nesterov

Papers from Ludovit Horvath's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. A Stochastic Approximation Method
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Natural Compression for Distributed Deep Learning (2019) — 183 citations