
Aleksander Madry
Massachusetts Institute of Technology
Professor
Department of Electrical Engineering and Computer Science
Research Area
#Computer science#Artificial intelligence#Machine learning#Robustness (computer science)#Mathematics#Adversarial system#Theoretical computer science#Discrete mathematics#Bipartite graph#Maximum flow problem
SCIE paper information
Papers relevant to ‘Mathematics’: 2
Research performance of SCIE papers matching with ‘Mathematics’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
A Polylogarithmic-Competitive Algorithm for the k -Server Problem
2015/11 JOURNAL OF THE ACM 1.804 Impact Factor 121 citations
On the configuration LP for maximum budgeted allocation
2015/12 MATHEMATICAL PROGRAMMING 2.062 Impact Factor 3 citations
Papers for author ‘Aleksander Madry’: 3
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
A Polylogarithmic-Competitive Algorithm for the k -Server Problem
2015/11 JOURNAL OF THE ACM 1.804 Impact Factor 121 citations
Round Compression for Parallel Matching Algorithms
2020/01 SIAM JOURNAL ON COMPUTING 1.414 Impact Factor 65 citations
conference information
Papers relevant to ‘Mathematics’: 2
Research performance of Top-tier Conference matching with ‘Mathematics’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Matrix Scaling and Balancing via Box Constrained Newton's Method and Interior Point Methods
2017/04 FOCS Top-tier Conference 58 citations
Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs
2020/11 FOCS Top-tier Conference 3 citations
Papers for author ‘Aleksander Madry’: 16
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Adversarially Robust Generalization Requires More Data
2018/04 NEURIPS Top-tier Conference 394 citations
Adversarial Examples Are Not Bugs, They Are Features
2019/05 NEURIPS Top-tier Conference 293 citations
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