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Journal Articles
- 2025
[j1]Theodor-Adrian Badea
, Bogdan Dumitrescu:
Haar-Laplacian for Directed Graphs. IEEE Trans. Signal Inf. Process. over Networks 11: 1238-1253 (2025)
Conference and Workshop Papers
- 2025
- [c3]Theodor-Adrian Badea, Bogdan Dumitrescu:
i-DGCN: A Spectral Convolutional Network For Directed Graphs Using An Intensity Laplacian. CoDIT 2025: 315-319 - 2024
- [c2]Theodor-Adrian Badea, Bogdan Dumitrescu:
DualGCN: A Convolutional Network for Anomaly Detection in Directed Graphs Based on Symmetrized and Skew-Symmetrized Laplacians. MLSP 2024: 1-6 - 2023
- [c1]Theodor-Adrian Badea, Bogdan Dumitrescu:
Community-Augmented Local-Link Intensity: A Score for Anomaly Detection in Graphs. CoDIT 2023: 1936-1941
Informal and Other Publications
- 2026
- [i2]Srinivas Sridharan, Theodor-Adrian Badea, Andy Balogh, Bradford M. Beckmann, Brian Coutinho, Louis Feng, Sheng Fu, Sanshan Gao, Mehryar Garakani, Taekyung Heo, David Kanter, Josh Ladd, Ziwei Li, Winston Liu, Changhai Man, Dan Mihailescu, Spandan More, Joongun Park, Ashwin Ramachandran, Vinay Ramakrishnaiah, Saeed Rashidi, Vijay Janapa Reddi, Puneet Sharma, Phio Tian, William Won, Hanjiang Wu, Huan Xu, Jinsun Yoo, Tushar Krishna:
MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR abs/2605.11333 (2026) - 2024
- [i1]Theodor-Adrian Badea, Bogdan Dumitrescu:
Haar-Laplacian for directed graphs. CoRR abs/2411.15527 (2024)
Coauthor Index
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