Alexandru Mara

According to our database, Alexandru Mara authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Large Language Models Reflect the Ideology of their Creators.

Maarten Buyl, Alexander Rogiers, Sander Noels, Iris Dominguez-Catena, Edith Heiter, Raphaël Romero, Iman Johary, Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie

CoRR, 2024

2022

EvalNE: A framework for network embedding evaluation.

Alexandru Mara, Jefrey Lijffijt, Tijl De Bie

SoftwareX, 2022

A Systematic Evaluation of Node Embedding Robustness.

Alexandru Cristian Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie

Proceedings of the Learning on Graphs Conference, 2022

2020

Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?

Alexandru Mara, Jefrey Lijffijt, Tijl De Bie

CoRR, 2020

Scalable Dyadic Independence Models with Local and Global Constraints.

Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie

CoRR, 2020

Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?

Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Block-Approximated Exponential Random Graphs.

Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

CSNE: Conditional Signed Network Embedding.

Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization.

Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar

IEEE Trans. Signal Process., 2019

EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction.

Alexandru Mara, Jefrey Lijffijt, Tijl De Bie

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

2017

When Is Network Lasso Accurate?

Alexander Jung, Nguyen Tran Quang, Alexandru Mara

Frontiers Appl. Math. Stat., 2017

Recovery conditions and sampling strategies for network Lasso.

Alexandru Mara, Alexander Jung

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization.

Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi

CoRR, 2016

2015

CLUS: Parallel Subspace Clustering Algorithm on Spark.

Bo Zhu, Alexandru Mara, Alberto Mozo

Proceedings of the New Trends in Databases and Information Systems, 2015