Extendable and invertible manifold learning with geometry regularized autoencoders. - Andrés F. Duque; Sacha Morin; Guy Wolf; Kevin R. Moon (IEEE BigData, 2020)

Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. - Miguel A. Saavedra-Ruiz; Sacha Morin; Liam Paull (CRV, 2022)

One-4-All: Neural Potential Fields for Embodied Navigation. - Sacha Morin; Miguel A. Saavedra-Ruiz; Liam Paull (IROS, 2023)

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables. - Sacha Morin; Robin Legault; Zsuzsa Bakk; Charles-Édouard Giguère; Roxane de la Sablonnière; Éric Lacourse (CoRR, 2023)

Spectral Temporal Contrastive Learning. - Sacha Morin; Somjit Nath; Samira Ebrahimi Kahou; Guy Wolf (CoRR, 2023)

Geometry Regularized Autoencoders. - Andrés F. Duque; Sacha Morin; Guy Wolf; Kevin R. Moon (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. - Qiao Gu; Ali Kuwajerwala; Sacha Morin; Krishna Murthy Jatavallabhula; Bipasha Sen; Aditya Agarwal; Corban Rivera; William Paul; Kirsty Ellis; Rama Chellappa; Chuang Gan 001; Celso Miguel de Melo; et al. (ICRA, 2024)

The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs. - Christina Kassab; Matías Mattamala; Sacha Morin; Martin Büchner; Abhinav Valada; Liam Paull; Maurice F. Fallon (CoRR, 2024)

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables. - Sacha Morin; Robin Legault; Félix Laliberté; Zsuzsa Bakk; Charles-Édouard Giguère; Roxane de la Sablonnière; Éric Lacourse (J. Stat. Softw., 2025)

OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations. - Christina Kassab; Sacha Morin; Martin Büchner; Matías Mattamala; Kumaraditya Gupta; Abhinav Valada; Liam Paull; Maurice F. Fallon (CoRR, 2025)