Long range graph benchmark VP Dwivedi, L Rampášek, M Galkin, A Parviz, G Wolf, AT Luu, D Beaini
Advances in Neural Information Processing Systems 35, 22326-22340, 2022
117 2022 Towards foundational models for molecular learning on large-scale multi-task datasets D Beaini, S Huang, JA Cunha, G Moisescu-Pareja, O Dymov, ...
arXiv preprint arXiv:2310.04292, 2023
5 2023 Generalized laplacian positional encoding for graph representation learning S Maskey, A Parviz, M Thiessen, H Stärk, Y Sadikaj, H Maron
arXiv preprint arXiv:2210.15956, 2022
5 2022 Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory A Mathiasen, H Helal, P Balanca, A Krzywaniak, A Parviz, F Hvilshøj, ...
arXiv preprint arXiv:2402.04030, 2024
1 2024 Ensemble learning as a peer process E Beikihassan, A Hoover, I Koutis, A Parviz
Agent Learning in Open-Endedness (ALOE) Workshop. ICRL 2022, 2022
1 2022 K Kläser, B Banaszewski, S Maddrell-Mander, C McLean, L Müller, ...
arXiv preprint arXiv:2404.14986, 2024
2024 Resource-constrained knowledge diffusion processes inspired by human peer learning E Beikihassan, AK Hoover, I Koutis, A Parviz, N Aghaieabiane
26th European Conference on Artificial Intelligence ECAI 2023 372, 214 - 222, 2023
2023 Neurally boosted supervised spectral clustering A Parviz, I Koutis
2021 
Dominique BeainiMachine Learning Researcher, InVivo AIGeverifieerd e-mailadres voor polymtl.ca
