Andrei Manolache

According to our database, Andrei Manolache authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Deep Anomaly Detection in Text.

Andrei Manolache

CoRR, 2024

2023

Probabilistically Rewired Message-Passing Neural Networks.

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris

CoRR, 2023

Time Series Anomaly Detection using Diffusion-based Models.

Ioana Pintilie, Andrei Manolache, Florin Brad

Proceedings of the IEEE International Conference on Data Mining, 2023

AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing.

Matei Bejan, Andrei Manolache, Marius Popescu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web.

Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection.

Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking the Authorship Verification Experimental Setups.

Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Transferring BERT-like Transformers' Knowledge for Authorship Verification.

Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu

CoRR, 2021

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.

Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long

CoRR, 2021

DATE: Detecting Anomalies in Text via Self-Supervision of Transformers.

Andrei Manolache, Florin Brad, Elena Burceanu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021