Andrei Manolache

22 papers A* 6Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
GraIP: A Benchmarking Framework For Neural Graph Inverse Problems.
CoRR
Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf
2025 J jnl
ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset.
CoRR
Adrian Catalin Lutu, Ioana Pintilie, Elena Burceanu, Andrei Manolache
2025 J jnl
Learning (Approximately) Equivariant Networks via Constrained Optimization.
CoRR
Andrei Manolache, Luiz F. O. Chamon, Mathias Niepert
2025 J jnl
Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining.
CoRR
Boshra Ariguib, Mathias Niepert, Andrei Manolache
2024 J jnl
Deep Anomaly Detection in Text.
CoRR
Andrei Manolache
2024 J jnl
MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning.
CoRR
Andrei Manolache, Dragos Tantaru, Mathias Niepert
2024 A* conf
Probabilistic Graph Rewiring via Virtual Nodes.
NeurIPS
Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
2024 J jnl
Probabilistic Graph Rewiring via Virtual Nodes.
CoRR
Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
2024 A* conf
Probabilistically Rewired Message-Passing Neural Networks.
ICLR
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2023 A* conf
AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing.
EMNLP
Matei Bejan, Andrei Manolache, Marius Popescu
2023 J jnl
Probabilistically Rewired Message-Passing Neural Networks.
CoRR
Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
2023 — conf
Time Series Anomaly Detection using Diffusion-based Models.
ICDM (Workshops)
Ioana Pintilie, Andrei Manolache, Florin Brad
2023 J jnl
Time Series Anomaly Detection using Diffusion-based Models.
CoRR
Ioana Pintilie, Andrei Manolache, Florin Brad
2022 A* conf
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection.
NeurIPS
Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad
2022 J jnl
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection.
CoRR
Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad
2022 A* conf
Rethinking the Authorship Verification Experimental Setups.
EMNLP
Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu
2022 A* conf
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web.
NeurIPS
Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu
2022 J jnl
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web.
CoRR
Andrei Manolache, Florin Brad, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu
2021 — conf
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers.
NAACL-HLT
Andrei Manolache, Florin Brad, Elena Burceanu
2021 J jnl
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers.
CoRR
Andrei Manolache, Florin Brad, Elena Burceanu
2021 J jnl
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results.
CoRR
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
2021 J jnl
Transferring BERT-like Transformers' Knowledge for Authorship Verification.
CoRR
Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu