Negar Kiyavash

Artificial Intelligence · 2003–2020

A researcher in the Science corpus: 5 papers; trusts 38 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #21,687 of 35,345 by trust here, #23,731 by citations
• Causal Inference & Discovery — 24 citations into it
• Optimization & Training — 18 citations into it; #1,820 of 2,601 by trust here, #2,484 by citations
• Statistics and Probability — 14 citations into it
• Computational Mechanics — 9 citations into it; #5,914 of 10,001 by trust here, #8,947 by citations
• Probabilistic & Bayesian Methods — 9 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Negar Kiyavash trusts overall

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

1. Yurii E. Nesterov
2. Peter Spirtes
3. Daphne Koller
4. Jan Peters
5. Sashank J. Reddi
6. Dominik Janzing
7. Bernhard Schölkopf
8. Hongseok Namkoong
9. Tom L. Burr
10. Curriculum Vitae

Who trusts Negar Kiyavash overall

1. Biwei Huang
2. Andy Adler
3. Kun Zhang
4. Umut Uludag
5. Karthik Nandakumar
6. Anil K. Jain
7. Quoc Tran-Dinh
8. Jelena Diakonikolas
9. Andrew Beng Jin Teoh
10. Sharath Pankanti

Papers from Negar Kiyavash's perspective

Ordered by how strongly the researchers Negar Kiyavash 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Et al
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning Causal Structures Using Regression Invariance (2017) — 74 citations
• Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems (2020) — 87 citations
• Interaction information for causal inference: The case of directed triangle (2017) — 27 citations
• Secure smartcardbased fingerprint authentication (2003) — 460 citations
• Multi-domain Causal Structure Learning in Linear Systems (2018) — 65 citations