Haris Vikalo

Artificial Intelligence · 2005–2020

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #15,532 of 35,345 by trust here, #23,731 by citations
• Information Systems — 11 citations into it
• Privacy & Security — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Computer Networks and Communications — 7 citations into it; #7,565 of 9,886 by trust here, #9,518 by citations
• Electrical and Electronic Engineering — 7 citations into it; #5,720 of 16,539 by trust here, #13,165 by citations
• Optimization & Training — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Haris Vikalo trusts overall

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

1. Babak Hassibi
2. Stephen C. Milne
3. Frank McSherry
4. Yehuda Koren
5. Steffen Rendle
6. George L. Nemhauser
7. Siddharth Joshi

Who trusts Haris Vikalo overall

1. Mihailo Stojnic
2. Frédérique E. Oggier
3. Sergio Vazquez

Papers from Haris Vikalo's perspective

Ordered by how strongly the researchers Haris Vikalo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Calibrating Noise to Sensitivity in Private Data Analysis
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Differentially private recommender systems: building privacy into the net
10. Going deeper with convolutions

Their papers

• On the sphere-decoding algorithm I. Expected complexity (2005) — 1,259 citations
• Federating Recommendations Using Differentially Private Prototypes (2020) — 47 citations
• Greedy sensor selection: Leveraging submodularity (2010) — 320 citations