Roberto Battiti

Optimization & Training · 1989–2005

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it

Whom Roberto Battiti trusts overall

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

1. Robert A. Jacobs
2. Yann LeCun
3. Scott E. Fahlman
4. Philip E. Gill
5. Vladimir Naumovich Vapni
6. Thorsten Joachims
7. Walter Murray
8. David E. Rumelhart
9. Paramvir Victor Bahl
10. Vladimir Naumovich Vapnik

Who trusts Roberto Battiti overall

1. N. Schraudolph
2. J. Urgen Schmidhuber
3. Holger R. Maier
4. Kazumi Saito
5. Grgoire Montavon
6. Ronan Collobert
7. Charles M. Bishop
8. Dan A. Simovici
9. Mohammad Norouzi
10. Rudy Setiono

Papers from Roberto Battiti's perspective

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

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

Their papers

• Statistical learning theory for location fingerprinting in wireless LANs (2005) — 644 citations
• First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method (1992)
• Accelerated Backpropagation Learning: Two Optimization Methods (1989)