Gabriel Krummenacher

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #16,954 of 35,345 by trust here, #30,347 by citations
• Computational Mechanics — 9 citations into it
• Optimization & Training — 9 citations into it

Whom Gabriel Krummenacher trusts overall

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

1. John C. Duchi

Who trusts Gabriel Krummenacher overall

1. Jakub Konecný
2. Chenxin Ma

Papers from Gabriel Krummenacher's perspective

Ordered by how strongly the researchers Gabriel Krummenacher 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. The Elements of Statistical Learning
5. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Parallelized Stochastic Gradient Descent

Their papers

• LOCO: Distributing Ridge Regression with Random Projections (2014) — 37 citations