DATE: Detecting Anomalies in Text via Self-Supervision of Transformers A Manolache, F Brad, E Burceanu NAACL 2021, ICML 2021 UDL Workshop, 2021 | 28 | 2021 |
AnoShift: A distribution shift benchmark for unsupervised anomaly detection M Drăgoi, E Burceanu, E Haller, A Manolache, F Brad Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 17 | 2022 |
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results N Miolane, M Caorsi, U Lupo, M Guerard, N Guigui, J Mathe, Y Cabanes, ... arXiv preprint arXiv:2108.09810, 2021 | 16 | 2021 |
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web A Manolache, F Brad, A Barbalau, RT Ionescu, M Popescu Thirty-sixth Conference on Neural Information Processing Systems, 2022 | 12 | 2022 |
Rethinking the Authorship Verification Experimental Setups F Brad, A Manolache, E Burceanu, A Barbalau, R Ionescu, M Popescu The 2022 Conference on Empirical Methods in Natural Language Processing …, 2021 | 12* | 2021 |
Time Series Anomaly Detection using Diffusion-based Models I Pintilie, A Manolache, F Brad ICDM 2023 Workshop AI4TS, 2023 | 6 | 2023 |
Anomaly Detection Systems and Methods AM Manolache, FM Brad, A Novac, E Burceanu US Patent 11,847,111, 2023 | 2 | 2023 |
Probabilistically Rewired Message-Passing Neural Networks C Qian, A Manolache, K Ahmed, Z Zeng, GV Broeck, M Niepert, C Morris arXiv preprint arXiv:2310.02156, 2023 | 1 | 2023 |
Probabilistic Task-Adaptive Graph Rewiring C Qian, A Manolache, K Ahmed, Z Zeng, G Van den Broeck, M Niepert, ... ICML 2023 Workshop on Differentiable Almost Everything: Differentiable …, 2023 | 1 | 2023 |
AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing M Bejan, A Manolache, M Popescu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
Deep Anomaly Detection in Text A Manolache M.Sc. Thesis, University of Bucharest, 2021 | | 2021 |