Posner, Ingmar

36 publications

CoRL 2025 COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping Jun Yamada, Alexander Luis Mitchell, Jack Collins, Ingmar Posner

CoRL 2025 D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner

ICLRW 2025 Is Confidence All You Need? Exploring Human-Ai Joint Decision-Making in Spatiotemporal Robotic Tasks An Duc Nguyen, Raunak Bhattacharyya, Clara Colombatto, Stephen M. Fleming, Ingmar Posner, Nick Hawes

ICCV 2025 Kaputt: A Large-Scale Dataset for Visual Defect Detection Sebastian Höfer, Dorian F. Henning, Artemij Amiranashvili, Douglas Morrison, Mariliza Tzes, Ingmar Posner, Marc Matvienko, Alessandro Rennola, Anton Milan

NeurIPS 2025 SPARTAN: A Sparse Transformer World Model Attending to What Matters Anson Lei, Bernhard Schölkopf, Ingmar Posner

L4DC 2024 Efficient Skill Acquisition for Insertion Tasks in Obstructed Environments Jun Yamada, Jack Collins, Ingmar Posner

CoRL 2024 Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion Alexander Luis Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner

ICLR 2024 Reward-Free Curricula for Training Robust World Models Marc Rigter, Minqi Jiang, Ingmar Posner

TMLR 2024 World Models via Policy-Guided Trajectory Diffusion Marc Rigter, Jun Yamada, Ingmar Posner

ICMLW 2023 Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong

NeurIPS 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong

ICLR 2023 Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner

ICLRW 2023 Projections of Model Spaces for Latent Graph Inference Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner

TMLR 2023 Variational Causal Dynamics: Discovering Modular World Models from Interventions Anson Lei, Bernhard Schölkopf, Ingmar Posner

NeurIPSW 2022 Causal Discovery for Modular World Models Anson Lei, Bernhard Schölkopf, Ingmar Posner

CoRL 2022 Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation Shaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner

JMLR 2022 Universal Approximation of Functions on Sets Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner

CoRL 2022 You Only Look at One: Category-Level Object Representations for Pose Estimation from a Single Example Walter Goodwin, Ioannis Havoutis, Ingmar Posner

ECCV 2022 Zero-Shot Category-Level Object Pose Estimation Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner

NeurIPS 2021 E(n) Equivariant Normalizing Flows Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling

NeurIPS 2021 GENESIS-V2: Inferring Unordered Object Representations Without Iterative Refinement Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

CoRL 2020 Attention-Privileged Reinforcement Learning Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner

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

ICLR 2020 Improving End-to-End Object Tracking Using Relational Reasoning Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner

NeurIPS 2020 RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces Sebastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy Mitra, Andrea Vedaldi

CoRL 2019 Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information Dan Barnes, Rob Weston, Ingmar Posner

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

NeurIPS 2018 Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner

ECCV 2018 ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi

ICML 2018 TACO: Learning Task Decomposition via Temporal Alignment for Control Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner

NeurIPS 2017 Hierarchical Attentive Recurrent Tracking Adam Kosiorek, Alex Bewley, Ingmar Posner

CoRL 2017 Mutual Alignment Transfer Learning Markus Wulfmeier, Ingmar Posner, Pieter Abbeel

AAAI 2016 Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks Peter Ondruska, Ingmar Posner

JAIR 2012 Modelling Observation Correlations for Active Exploration and Robust Object Detection Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy

IJCAI 2011 Active Exploration for Robust Object Detection Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy

IJCAI 2011 Adaptive Data Compression for Robot Perception Mike Smith, Ingmar Posner, Paul M. Newman