Ingmar Posner

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 131

Top Venues

CoRR

ICRA

IROS

Int. J. Robotics Res.

Publications

Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins, Oiwi Parker Jones, Ingmar Posner
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. IEEE Robotics Autom. Lett. 9 (4) (2024)
Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation. CoRR (2024)
Jun Yamada, Jack Collins, Ingmar Posner
Efficient skill acquisition for insertion tasks in obstructed environments. L4DC (2024)
Jannik Zürn, Ingmar Posner, Wolfram Burgard
AutoGraph: Predicting Lane Graphs From Traffic Observations. IEEE Robotics Autom. Lett. 9 (1) (2024)
Marc Rigter, Minqi Jiang, Ingmar Posner
Reward-Free Curricula for Training Robust World Models. ICLR (2024)
Marc Rigter, Jun Yamada, Ingmar Posner
World Models via Policy-Guided Trajectory Diffusion. Trans. Mach. Learn. Res. 2024 (2024)
Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins, Oiwi Parker Jones, Ingmar Posner
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. CoRR (2024)
Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. ICRA (2024)
Rhys Newbury, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun
A Review of Differentiable Simulators. IEEE Access 12 (2024)
Alexander L. Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner
Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion. CoRR (2024)
Anson Lei, Frederik Nolte, Bernhard Schölkopf, Ingmar Posner
Compete and Compose: Learning Independent Mechanisms for Modular World Models. CoRR (2024)
Rhys Newbury, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun
A Review of Differentiable Simulators. CoRR (2024)
Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. IEEE Robotics Autom. Lett. 9 (1) (2024)
Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner
TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. CoRR (2023)
Marc Rigter, Jun Yamada, Ingmar Posner
World Models via Policy-Guided Trajectory Diffusion. CoRR (2023)
Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. IEEE Trans. Robotics 39 (5) (2023)
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner
Projections of Model Spaces for Latent Graph Inference. CoRR (2023)
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. CoRR (2023)
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. CoRR (2023)
Anson Lei, Bernhard Schölkopf, Ingmar Posner
Variational Causal Dynamics: Discovering Modular World Models from Interventions. Trans. Mach. Learn. Res. 2023 (2023)
Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner
DITTO: Offline Imitation Learning with World Models. CoRR (2023)
Jun Yamada, Jack Collins, Ingmar Posner
Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments. CoRR (2023)
Walter Goodwin, Ioannis Havoutis, Ingmar Posner
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. CoRR (2023)
Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. CoRR (2023)
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. NeurIPS (2023)
Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner
Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. ICRA (2023)
Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. ICLR (2023)
Marc Rigter, Minqi Jiang, Ingmar Posner
Reward-Free Curricula for Training Robust World Models. CoRR (2023)
Jannik Zürn, Ingmar Posner, Wolfram Burgard
AutoGraph: Predicting Lane Graphs from Traffic Observations. CoRR (2023)
Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. CoRR (2023)
Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. ICRA (2022)
Walter Goodwin, Ioannis Havoutis, Ingmar Posner
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. CoRL (2022)
Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Shaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation. CoRL (2022)
Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. CoRR (2022)
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
Zero-Shot Category-Level Object Pose Estimation. CoRR (2022)
Yizhe Wu, Oiwi Parker Jones, Ingmar Posner
ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D. CoRR (2022)
Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. CoRR (2022)
Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. CoRR (2022)
Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA (2022)
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. ICRA (2022)
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner
Universal Approximation of Functions on Sets. J. Mach. Learn. Res. 23 (2022)
Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR (2022)
Anson Lei, Bernhard Schölkopf, Ingmar Posner
Variational Causal Dynamics: Discovering Modular World Models from Interventions. CoRR (2022)
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
Zero-Shot Category-Level Object Pose Estimation. ECCV (39) (2022)
Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. ICRA (2021)
Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. NeurIPS (2021)
Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
Iterative SE(3)-Transformers. GSI (2021)
Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. CoRR (2021)
Nicholas Roy, Ingmar Posner, Tim D. Barfoot, Philippe Beaudoin, Yoshua Bengio, Jeannette Bohg, Oliver Brock, Isabelle Depatie, Dieter Fox, Daniel E. Koditschek, Tomás Lozano-Pérez, Vikash Mansinghka, Christopher J. Pal, Blake A. Richards, Dorsa Sadigh, Stefan Schaal, Gaurav S. Sukhatme, Denis Thérien, Marc Toussaint, Michiel van de Panne
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR (2021)
Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner
Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. CoRR (2021)
Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. CoRR (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR (2021)
Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. IROS (2021)
Rob Weston, Oiwi Parker Jones, Ingmar Posner
There and Back Again: Learning to Simulate Radar Data for Real-World Applications. ICRA (2021)
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner
Universal Approximation of Functions on Sets. CoRR (2021)
Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
Iterative SE(3)-Transformers. CoRR (2021)
Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner
APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. CoRR (2021)
Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. ICRA (2021)
Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. CoRR (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling
E(n) Equivariant Normalizing Flows. NeurIPS (2021)
Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. CoRR (2020)
Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. CoRR (2020)
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. ICLR (2020)
Sébastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. NeurIPS (2020)
Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. CoRR (2020)
Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Siddhant Gangapurwala, Oliwier Melon, Ioannis Havoutis, Ingmar Posner
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. IROS (2020)
Dan Barnes, Ingmar Posner
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. ICRA (2020)
Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett
Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. ICRA (2020)
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
Attention-Privileged Reinforcement Learning. CoRL (2020)
Dan Barnes, Ingmar Posner
Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. CoRR (2020)
Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA (2020)
Rob Weston, Oiwi Parker Jones, Ingmar Posner
There and Back Again: Learning to Simulate Radar Data for Real-World Applications. CoRR (2020)
Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
Reconstruction Bottlenecks in Object-Centric Generative Models. CoRR (2020)
Sébastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. CoRR (2020)
Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne
On the Limitations of Representing Functions on Sets. ICML (2019)
Dan Barnes, Rob Weston, Ingmar Posner
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. CoRL (2019)
Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne
On the Limitations of Representing Functions on Sets. CoRR (2019)
Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
Attention Privileged Reinforcement Learning For Domain Transfer. CoRR (2019)
Dan Barnes, Rob Weston, Ingmar Posner
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. CoRR (2019)
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. CoRR (2019)
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. BMVC (2019)
Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner
Probably Unknown: Deep Inverse Sensor Modelling Radar. ICRA (2019)
Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. CoRR (2019)
Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner
Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks. CoRR (2019)
Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR (2019)
Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner
Probably Unknown: Deep Inverse Sensor Modelling In Radar. CoRR (2018)
Letizia Marchegiani, Ingmar Posner
Long-Term Driving Behaviour Modelling for Driver Identification. ITSC (2018)
Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. NeurIPS (2018)
Oliver Groth, Fabian Fuchs, Ingmar Posner, Andrea Vedaldi
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. CoRR (2018)
Markus Wulfmeier, Alex Bewley, Ingmar Posner
Incremental Adversarial Domain Adaptation for Continually Changing Environments. ICRA (2018)
Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
Resource-Performance Tradeoff Analysis for Mobile Robots. IEEE Robotics Autom. Lett. 3 (3) (2018)
Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. ECCV (1) (2018)
Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
TACO: Learning Task Decomposition via Temporal Alignment for Control. CoRR (2018)
Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner
Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. ICRA (2018)
Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
TACO: Learning Task Decomposition via Temporal Alignment for Control. ICML (2018)
Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner
Deep tracking in the wild: End-to-end tracking using recurrent neural networks. Int. J. Robotics Res. 37 (4-5) (2018)
Corina Gurau, Alex Bewley, Ingmar Posner
Dropout Distillation for Efficiently Estimating Model Confidence. CoRR (2018)
Corina Gurau, Dushyant Rao, Chi Hay Tong, Ingmar Posner
Learn from experience: Probabilistic prediction of perception performance to avoid failure. Int. J. Robotics Res. 37 (9) (2018)
Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. CoRR (2018)

Ingmar Posner.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ingmar Posner