Ross A. Lippert

Artificial Intelligence · 2002–2007

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Ross A. Lippert trusts overall

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

1. Federico Girosi
2. Yuhai Wu
3. Grace Wahba
4. Dustin Boswell
5. Rohan Shah
6. Tomaso A. Poggio
7. Christopher K. I. Williams
8. Corinna Cortes
9. Jonathan Michael Borwein
10. Theodoros Evgeniou

Who trusts Ross A. Lippert overall

1. Nathan Ross
2. Robert E. Gaunt
3. Chunhua Shen
4. J. Bagnell
5. David M. Bradley
6. Brian D. Ondov
7. Hanxi Li

Papers from Ross A. Lippert's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Support-Vector Networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Statistical Learning Theory
7. Spline Models for Observational Data
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Value Regularization and Fenchel Duality (2007) — 90 citations
• Inaugural Article: Distributional regimes for the number of k-word matches between two random sequences (2002) — 112 citations