Sacha Morin

17 papers A* 1A 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning.
CoRR
Sacha Morin, Moonsub Byeon, Alexia Jolicoeur-Martineau, Sébastien Lachapelle
2025 J jnl
Agentic Scene Policies: Unifying Space, Semantics, and Affordances for Robot Action.
CoRR
Sacha Morin, Kumaraditya Gupta, Mahtab Sandhu, Charlie Gauthier, Francesco Argenziano, Kirsty Ellis, Liam Paull
2025 J jnl
Dynamic Objects Relocalization in Changing Environments with Flow Matching.
CoRR
Francesco Argenziano, Miguel A. Saavedra-Ruiz, Sacha Morin, Daniele Nardi, Liam Paull
2025 J jnl
OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations.
CoRR
Christina Kassab, Sacha Morin, Martin Büchner, Matías Mattamala, Kumaraditya Gupta, Abhinav Valada, Liam Paull, Maurice F. Fallon
2025 J jnl
StepMix: A
J. Stat. Softw.
Sacha Morin, Robin Legault, Félix Laliberté, Zsuzsa Bakk, Charles-Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
2024 A* conf
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.
ICRA
Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
2024 J jnl
The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs.
CoRR
Christina Kassab, Matías Mattamala, Sacha Morin, Martin Büchner, Abhinav Valada, Liam Paull, Maurice F. Fallon
2023 J jnl
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning.
CoRR
Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
2023 J jnl
Geometry Regularized Autoencoders.
IEEE Trans. Pattern Anal. Mach. Intell.
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2023 A conf
One-4-All: Neural Potential Fields for Embodied Navigation.
IROS
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
2023 J jnl
One-4-All: Neural Potential Fields for Embodied Navigation.
CoRR
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
2023 J jnl
Spectral Temporal Contrastive Learning.
CoRR
Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf
2023 J jnl
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables.
CoRR
Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles-Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse
2022 — conf
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.
CRV
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
2022 J jnl
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers.
CoRR
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
2020 — conf
Extendable and invertible manifold learning with geometry regularized autoencoders.
IEEE BigData
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
2020 J jnl
Extendable and invertible manifold learning with geometry regularized autoencoders.
CoRR
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon