Mihai Christodorescu

Artificial Intelligence · 2003–2019

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #11,393 of 35,345 by trust here, #12,244 by citations
• Information Systems — 12 citations into it
• Software — 12 citations into it; #73 of 1,227 by trust here, #240 by citations
• Signal Processing — 7 citations into it; #583 of 7,572 by trust here, #1,105 by citations
• Computer Networks and Communications — 5 citations into it; #693 of 9,886 by trust here, #1,475 by citations

Whom Mihai Christodorescu trusts overall

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

1. Dana Angluin
2. David A. Wagner
3. George C. Necula
4. Thomas Ball
5. Sriram K. Rajamani
6. Drew Dean
7. Hao Chen
8. Somesh Jha
9. Kai Sheng Tai
10. Ú. Erlingsson

Who trusts Mihai Christodorescu overall

1. Christopher Krügel
2. Andreas Moser
3. Konrad Rieck
4. Engin Kirda
5. Ulrich Flegel
6. Nicholas Carlini
7. Nwokedi C. Idika
8. Clemens Kolbitsch
9. Xin Hu
10. Igor Santos

Papers from Mihai Christodorescu's perspective

Ordered by how strongly the researchers Mihai Christodorescu 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
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. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• COSET: A Benchmark for Evaluating Neural Program Embeddings (2019) — 41 citations
• Semantics-aware malware detection (2005) — 818 citations
• Testing malware detectors (2004) — 354 citations
• Static Analysis of Executables to Detect Malicious Patterns (2003) — 775 citations