Péter András

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Federated & Distributed Learning — 10 citations into it
• Optimization & Training — 6 citations into it
• Statistics and Probability — 6 citations into it; #5,813 of 12,932 by trust here, #8,740 by citations
• Computational Mechanics — 5 citations into it
• Numerical Analysis — 5 citations into it; #1,402 of 3,586 by trust here, #2,107 by citations

Whom Péter András trusts overall

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

1. Chandra R. Bhat
2. Kenneth Train
3. Ilya M. Sobol
4. Alan Genz
5. Geoffrey E. Hinton
6. Xiaoqun Wang
7. Steven R. Lerman
8. Ken Seng Tan
9. Daniel McFadden
10. Yann LeCun

Who trusts Péter András overall

1. M. Wedel
2. Roselinde Kessels
3. Wagner A. Kamakura

Papers from Péter András's perspective

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

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

Their papers

• Federated learning with hierarchical clustering of local updates to improve training on non-IID data (2020) — 767 citations
• Alternative sampling methods for estimating multivariate normal probabilities (2003) — 75 citations
• PD Disease State Assessment in Naturalistic Environments Using Deep Learning (2015) — 193 citations