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Dominique Beaini
Dominique Beaini
Machine Learning Researcher, InVivo AI
Bestätigte E-Mail-Adresse bei polymtl.ca
Titel
Zitiert von
Zitiert von
Jahr
Principal neighbourhood aggregation for graph nets
G Corso, L Cavalleri, D Beaini, P Liò, P Veličković
NeurIPS2020, 2020
5882020
Rethinking graph transformers with spectral attention
D Kreuzer, D Beaini, W Hamilton, V Létourneau, P Tossou
Advances in Neural Information Processing Systems 34, 21618-21629, 2021
3572021
Recipe for a general, powerful, scalable graph transformer
L Rampášek, M Galkin, VP Dwivedi, AT Luu, G Wolf, D Beaini
Advances in Neural Information Processing Systems 35, 14501-14515, 2022
2842022
3d infomax improves gnns for molecular property prediction
H Stärk, D Beaini, G Corso, P Tossou, C Dallago, S Günnemann, P Liò
International Conference on Machine Learning, 20479-20502, 2022
1632022
Directional graph networks
D Beaini, S Passaro, V Létourneau, W Hamilton, G Corso, P Liò
International Conference on Machine Learning, 748-758, 2021
1602021
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
1142022
Fast scene analysis using vision and artificial intelligence for object prehension by an assistive robot
C Bousquet-Jette, S Achiche, D Beaini, YSLK Cio, C Leblond-Ménard, ...
Engineering Applications of Artificial Intelligence 63, 33-44, 2017
472017
Towards interpretable sparse graph representation learning with laplacian pooling
E Noutahi, D Beaini, J Horwood, S Giguère, P Tossou
arXiv preprint arXiv:1905.11577, 2019
352019
Image-based truss recognition for density-based topology optimization approach
JF Gamache, A Vadean, É Noirot-Nérin, D Beaini, S Achiche
Structural and Multidisciplinary Optimization 58 (6), 2697-2709, 2018
242018
Gps++: An optimised hybrid mpnn/transformer for molecular property prediction
D Masters, J Dean, K Klaser, Z Li, S Maddrell-Mander, A Sanders, H Helal, ...
arXiv preprint arXiv:2212.02229, 2022
162022
Deep green function convolution for improving saliency in convolutional neural networks
D Beaini, S Achiche, A Duperré, M Raison
The Visual Computer 37 (2), 227-244, 2021
72021
Novel convolution kernels for computer vision and shape analysis based on electromagnetism
D Beaini, S Achiche, YSLK Cio, M Raison
arXiv preprint arXiv:1806.07996, 2018
62018
Computing the spatial probability of inclusion inside partial contours for computer vision applications
D Beaini, S Achiche, F Nonez, M Raison
arXiv preprint arXiv:1806.01339, 2018
62018
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
52023
Design guidelines for shoulder design of an anthropomorphic robotic arm
M Leroux, S Achiche, D Beaini, M Raison
DS 87-4 Proceedings of the 21st International Conference on Engineering …, 2017
52017
Graph Positional and Structural Encoder
R Liu, S Cantürk, O Lapointe-Gagné, V Létourneau, G Wolf, D Beaini, ...
arXiv preprint arXiv:2307.07107, 2023
32023
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
D Masters, J Dean, K Klaser, Z Li, S Maddrell-Mander, A Sanders, H Helal, ...
arXiv preprint arXiv:2302.02947, 2023
32023
Generating QM1B with PySCF
A Mathiasen, H Helal, K Klaser, P Balanca, J Dean, C Luschi, D Beaini, ...
Advances in Neural Information Processing Systems 36, 2024
22024
Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
D Beaini, S Achiche, M Raison
arXiv preprint arXiv:2003.05182, 2020
22020
Saliency Enhancement using Gradient Domain Edges Merging
D Beaini, S Achiche, A Duperre, M Raison
arXiv preprint arXiv:2002.04380, 2020
22020
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