papers

Publications (18)

cs.LG2019

On the Limitations of Representing Functions on Sets

Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke +2

cs.LG2020

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones +1

cs.RO2022

Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation

Chia-Man Hung, Shaohong Zhong, Walter Goodwin +4

cs.CV2022

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement

Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

cs.RO2024

Scaling Instructable Agents Across Many Simulated Worlds

SIMA Team, Maria Abi Raad, Arun Ahuja +91

cs.AI2025

SIMA 2: A Generalist Embodied Agent for Virtual Worlds

SIMA team, Adrian Bolton, Alexander Lerchner +63

cs.LG2025

Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences

Andrew Kyle Lampinen, Martin Engelcke, Yuxuan Li +2

cs.LG2025

Can foundation models actively gather information in interactive environments to test hypotheses?

Danny P. Sawyer, Nan Rosemary Ke, Hubert Soyer +9

cs.LG2020

Reconstruction Bottlenecks in Object-Centric Generative Models

Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

cs.RO2023

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation

Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert +5

cs.LG2021

Universal Approximation of Functions on Sets

Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke +2

cs.RO2020

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion

Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones +5

cs.CV2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces

Sebastien Ehrhardt, Oliver Groth, Aron Monszpart +4

cs.RO2022

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion

Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert +5

cs.CV2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Li Yi, Lin Shao, Manolis Savva +47

cs.RO2021

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation

Yizhe Wu, Oiwi Parker Jones, Martin Engelcke +1

cs.CV2017

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Benjamin Graham, Martin Engelcke, Laurens van der Maaten

cs.RO2017

Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks

Martin Engelcke, Dushyant Rao, Dominic Zeng Wang +2