| DATE: Detecting Anomalies in Text via Self-Supervision of Transformers A Manolache, F Brad, E Burceanu NAACL 2021, ICML 2021 UDL Workshop, 2021 | 32 | 2021 |
| AnoShift: A distribution shift benchmark for unsupervised anomaly detection M Drăgoi, E Burceanu, E Haller, A Manolache, F Brad NeurIPS 2022, 2022 | 16 | 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 NeurIPS 2022, 2022 | 13 | 2022 |
| Rethinking the Authorship Verification Experimental Setups F Brad*, A Manolache*, E Burceanu, A Barbalau, R Ionescu, M Popescu EMNLP 2022, 2021 | 12* | 2021 |
| Time Series Anomaly Detection using Diffusion-based Models I Pintilie, A Manolache, F Brad ICDM 2023 Workshop AI4TS, 2023 | 8 | 2023 |
| Probabilistically Rewired Message-Passing Neural Networks C Qian*, A Manolache*, K Ahmed, Z Zeng, GV Broeck, M Niepert, ... ICLR 2024, 2023 | 5 | 2023 |
| Anomaly Detection Systems and Methods AM Manolache, FM Brad, A Novac, E Burceanu US Patent 11,847,111, 2023 | 3 | 2023 |
| Probabilistic Graph Rewiring via Virtual Nodes C Qian*, A Manolache*, C Morris, M Niepert arXiv preprint arXiv:2405.17311, 2024 | 1 | 2024 |
| AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing M Bejan*, A Manolache*, M Popescu EMNLP 2023, 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 |
| Deep Anomaly Detection in Text A Manolache M.Sc. Thesis, University of Bucharest, 2021 | | 2021 |
Florin BradBitdefenderVerified email at bitdefender.com
