Publications

Miolane, N., Caorsi, M., Lupo, U., Guerard, M., Guigui, N., Mathe, J., Cabanes, Y., Reise, W., Davies, T., Leitão, A., Mohapatra, S., Utpala, S., Shailja, S., Corso, G., Liu, G., Iuricich, F., Manolache, A., Nistor, M., Bejan, M., … Long, Y. (2021). ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.

Manolache, A., Brad, F., Barbalau, A., Ionescu, R. T., & Popescu, M. (2022). VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web. In S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, & A. Oh (Eds.), Advances in Neural Information Processing Systems (Vol. 35, pp. 15574--15588). Curran Associates, Inc. https://proceedings.neurips.cc/paper_files/paper/2022/file/64008fa30cba9b4d1ab1bd3bd3d57d61-Paper-Datasets_and_Benchmarks.pdf

Dragoi, M., Burceanu, E., Haller, E., Manolache, A., & Brad, F. (2022). AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection. Thirty-Sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. https://openreview.net/forum?id=rbrouCKPiej

Brad, F., Manolache, A., Burceanu, E., Barbalau, A., Ionescu, R. T., & Popescu, M. (2022). Rethinking the Authorship Verification Experimental Setups. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 5634--5643. https://doi.org/10.18653/v1/2022.emnlp-main.380

Qian, C., Manolache, A., Ahmed, K., Zeng, Z., den Broeck, G. V., Niepert, M., & Morris, C. (2023). Probabilistic Task-Adaptive Graph Rewiring. ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators. https://openreview.net/forum?id=YsHKrMPHE1

Manolache, A., Brad, F., & Burceanu, E. (2021). DATE: Detecting Anomalies in Text via Self-Supervision of Transformers. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 267--277. https://doi.org/10.18653/v1/2021.naacl-main.25