Hanie Sedghi
- Artificial Intelligence
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Edmond JonckheerePhilip M. LongVineet GuptaMajid JanzaminBehnam NeyshaburChiyuan ZhangAnima AnandkumarMohammad Reza Pakravan
- Topics
- Stochastic Gradient Optimization Techniques (4 papers)Adversarial Robustness in Machine Learning (3 papers)Sparse and Compressive Sensing Techniques (2 papers)
- Cited by
- Computational MathematicsControl and Systems EngineeringComputer Networks and Communications
- Journals
- IEEE Transactions on Smart GridTransactions of the Association for Computational LinguisticsCaltechAUTHORS (California Institute of Technology)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Hanie Sedghi
14 papers receiving 160 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 82
- Control and Systems Engineering 72
- Computer Networks and Communications 62
- Electrical and Electronic Engineering 54
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Hanie Sedghi
This map shows the geographic impact of Hanie Sedghi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hanie Sedghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanie Sedghi more than expected).
Fields of papers citing papers by Hanie Sedghi
This network shows the impact of papers produced by Hanie Sedghi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hanie Sedghi. The network helps show where Hanie Sedghi may publish in the future.
Co-authorship network of co-authors of Hanie Sedghi
This figure shows the co-authorship network connecting the top 25 collaborators of Hanie Sedghi. A scholar is included among the top collaborators of Hanie Sedghi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hanie Sedghi. Hanie Sedghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | What is being transferred in transfer learning | 14 |
| 4 | The intriguing role of module criticality in the generalization of deep networks | 3 |
| 5 | Size-free generalization bounds for convolutional neural networks | 6 |
| 6 | The Singular Values of Convolutional Layers | 29 |
| 7 | 2 | |
| 8 | How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive Datasets. | 6 |
| 9 | Provable Tensor Methods for Learning Mixtures of Generalized Linear Models - eScholarship | 0 |
| 10 | Generalization Bounds for Neural Networks through Tensor Factorization. | 6 |
| 11 | 52 | |
| 12 | Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition | 7 |
| 13 | Guarantees for Multi-Step Stochastic ADMM in High Dimensions. | 1 |
| 14 | 22 | |
| 15 | 16 |
About Hanie Sedghi
Hanie Sedghi is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 167 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Control and Systems Engineering (72 citations) and Computer Networks and Communications (62 citations). Hanie Sedghi has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Edmond Jonckheere, Philip M. Long, Vineet Gupta, Majid Janzamin, Behnam Neyshabur, Chiyuan Zhang, Anima Anandkumar, Mohammad Reza Pakravan, Ashish Sabharwal and Olga Saukh. Their work appears in journals such as IEEE Transactions on Smart Grid, Transactions of the Association for Computational Linguistics and CaltechAUTHORS (California Institute of Technology).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.