Published in arXiv preprint, 2025
Self-supervised graph representation learning using a trainable graph matching module for computing the reconstruction loss.
Recommended citation: Krzakala, P., Melo, G., Laclau, C., d'Alché-Buc, F., & Flamary, R. (2025). The Quest for the GRAph Level autoEncoder (GRALE). arXiv preprint arXiv:2505.22109.
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Published in NeurIPS 2024, 2024
A fully differentiable framework for Supervised Graph Prediction.
Recommended citation: Krzakala, P., Yang, J., Flamary, R., d'Alché-Buc, F., Laclau, C., & Labeau, M. (2024). Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss. Advances in Neural Information Processing Systems, 37, 101552-101588.
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Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
We propose a solver to optimize the antenna placement on satellite-mounted interferometric synthetic-aperture instruments.
Recommended citation: Krzakala, Paul and Assouel, Amine, et al. (2021). Irregular layout for a satellite’s interferometric array. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 9408-9423..
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