Alexandru Mara

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 16

Top Topics

Subspace Clustering

Total Variation Minimization

Stratified Sampling

Systematic Evaluation

Top Venues

IEEE Trans. Signal Process.

Publications

Alexandru Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie
A Systematic Evaluation of Node Embedding Robustness. CoRR (2022)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A framework for network embedding evaluation. SoftwareX 17 (2022)
Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
Block-Approximated Exponential Random Graphs. DSAA (2020)
Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
CSNE: Conditional Signed Network Embedding. CoRR (2020)
Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
Scalable Dyadic Independence Models with Local and Global Constraints. CoRR (2020)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? CoRR (2020)
Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
CSNE: Conditional Signed Network Embedding. CIKM (2020)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. CoRR (2019)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. RML@ICLR (2019)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization. CoRR (2019)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization. IEEE Trans. Signal Process. 67 (24) (2019)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. EDML@SDM (2019)
Alexandru Mara, Alexander Jung
Recovery conditions and sampling strategies for network Lasso. ACSSC (2017)
Alexandru Mara, Alexander Jung
Recovery Conditions and Sampling Strategies for Network Lasso. CoRR (2017)
Alexander Jung, Nguyen Tran Quang, Alexandru Mara
When Is Network Lasso Accurate? Frontiers Appl. Math. Stat. 3 (2017)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. CoRR (2016)
Bo Zhu, Alexandru Mara, Alberto Mozo
CLUS: Parallel Subspace Clustering Algorithm on Spark. ADBIS (Short Papers and Workshops) (2015)