Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks. - Martin Engelcke; Dushyant Rao; Dominic Zeng Wang; Chi Hay Tong; Ingmar Posner (ICRA, 2017)

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. - Li Yi 001; Lin Shao 002; Manolis Savva; Haibin Huang; Yang Zhou 009; Qirui Wang; Benjamin Graham; Martin Engelcke; Roman Klokov; Victor S. Lempitsky; Yuan Gan; Pengyu Wang 004; et al. (CoRR, 2017)

3D Semantic Segmentation With Submanifold Sparse Convolutional Networks. - Benjamin Graham; Martin Engelcke; Laurens van der Maaten (CVPR, 2018)

On the Limitations of Representing Functions on Sets. - Edward Wagstaff; Fabian Fuchs; Martin Engelcke; Ingmar Posner; Michael A. Osborne (ICML, 2019)

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. - Martin Engelcke; Adam R. Kosiorek; Oiwi Parker Jones; Ingmar Posner (ICLR, 2020)

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. - Alexander L. Mitchell; Martin Engelcke; Oiwi Parker Jones; David Surovik; Siddhant Gangapurwala; Oliwier Melon; Ioannis Havoutis; Ingmar Posner (IROS, 2020)

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. - Sébastien Ehrhardt; Oliver Groth; Áron Monszpart; Martin Engelcke; Ingmar Posner; Niloy J. Mitra; Andrea Vedaldi (NeurIPS, 2020)

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. - Alexander L. Mitchell; Martin Engelcke; Oiwi Parker Jones; David Surovik; Ioannis Havoutis; Ingmar Posner (CoRR, 2020)

Reconstruction Bottlenecks in Object-Centric Generative Models. - Martin Engelcke; Oiwi Parker Jones; Ingmar Posner (CoRR, 2020)

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. - Yizhe Wu; Oiwi Parker Jones; Martin Engelcke; Ingmar Posner (IROS, 2021)

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. - Martin Engelcke; Oiwi Parker Jones; Ingmar Posner (NeurIPS, 2021)

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. - Alexander L. Mitchell; Wolfgang Merkt; Mathieu Geisert; Siddhant Gangapurwala; Martin Engelcke; Oiwi Parker Jones; Ioannis Havoutis; Ingmar Posner (ICRA, 2022)

Universal Approximation of Functions on Sets. - Edward Wagstaff; Fabian B. Fuchs; Martin Engelcke; Michael A. Osborne; Ingmar Posner (J. Mach. Learn. Res., 2022)

Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. - Chia-Man Hung; Shaohong Zhong; Walter Goodwin; Oiwi Parker Jones; Martin Engelcke; Ioannis Havoutis; Ingmar Posner (IEEE Robotics Autom. Lett., 2022)

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. - Alexander L. Mitchell; Wolfgang Merkt; Mathieu Geisert; Siddhant Gangapurwala; Martin Engelcke; Oiwi Parker Jones; Ioannis Havoutis; Ingmar Posner (IEEE Trans. Robotics, 2023)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)

Can foundation models actively gather information in interactive environments to test hypotheses? - Nan Rosemary Ke; Danny P. Sawyer; Hubert Soyer; Martin Engelcke; David P. Reichert; Drew A. Hudson; John Reid; Alexander Lerchner; Danilo Jimenez Rezende; Timothy P. Lillicrap; Michael Mozer; Jane X. Wang (CoRR, 2024)