| Recurrent space-time graph neural networks A Nicolicioiu, I Duta, M Leordeanu Advances in Neural Information Processing Systems, 12838-12850 (NeurIPS 2019), 2019 | 44 | 2019 |
| Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks I Duta, AL Nicolicioiu, M Leordeanu Advances in Neural Information Processing Systems (NeurIPS 2021), 2020 | 12* | 2020 |
| Dynamic Regions Graph Neural Networks for Spatio-Temporal Reasoning I Duta, AL Nicolicioiu, M Leordeanu Object Representations for Learning and Reasoning (NeurIPS Workshop 2020), 2020 | 5 | 2020 |
| Mining for meaning: from vision to language through multiple networks consensus I Duta, AL Nicolicioiu, SV Bogolin, M Leordeanu British Machine Vision Conference (BMVC 2018), 2018 | 5 | 2018 |
| Sheaf Hypergraph Networks I Duta, G Cassarà, F Silvestri, P Liò Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 1 | 2023 |
| The Second Learning on Graphs Conference: Preface S Villar, B Chamberlain, Y Du, H St, CK Joshi, A Deac, I Duta, J Robinson, ... Learning on Graphs Conference, i-xix, 2024 | | 2024 |
| The First Learning on Graphs Conference: Preface B Rieck, R Pascanu, Y Du, H Stärk, D Lim, CK Joshi, A Deac, I Duta, ... Learning on Graphs Conference, i-xxiii, 2022 | | 2022 |
| Effective Receptive Field of Graph Neural Networks A Nicolicioiu, I Duta Technical Report, 2019 | | 2019 |
Andrei Liviu NicolicioiuMila and University of MontrealVerified email at mila.quebec
