Ingmar Posner - RankMe

192 papers A* 46A 10B 4C 3Misc 6Journal 110Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention. CoRR Markus W. Baumgartner, Anson Lei, Joe Watson, Ingmar Posner
2026	J	`jnl`	Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces. CoRR Hamish Flynn, Joe Watson, Ingmar Posner, Jan Peters
2026	A*	`conf`	TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint). AAAI Shaohong Zhong, Alessandro Albini, Perla Maiolino, Ingmar Posner
2025	J	`jnl`	An End-to-End Framework for Modeling Pneumatic Soft Robots Based on Differentiable Finite Element Methods. IEEE Robotics Autom. Lett. Shaohong Zhong, Yao Yao, Perla Maiolino, Ingmar Posner
2025	J	`jnl`	Building Gradient by Gradient: Decentralised Energy Functions for Bimanual Robot Assembly. CoRR Alexander L. Mitchell, Joe Watson, Ingmar Posner
2025	J	`jnl`	COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping. CoRR Jun Yamada, Alexander L. Mitchell, Jack Collins, Ingmar Posner
2025	J	`jnl`	Enhancing Joint Human-AI Inference in Robot Missions: A Confidence-Based Approach. CoRR Duc-An Nguyen, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes, Raunak Bhattacharyya
2025	J	`jnl`	Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control. CoRR Jun Yamada, Adithyavairavan Murali, Ajay Mandlekar, Clemens Eppner, Ingmar Posner, Balakumar Sundaralingam
2025	A*	`conf`	Group Decision-Making in Robot Teleoperation: Two Heads are Better Than One. HRI Duc-An Nguyen, Raunak Bhattacharyya, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes
2025	J	`jnl`	Is Single-View Mesh Reconstruction Ready for Robotics? CoRR Frederik Nolte, Bernhard Schölkopf, Ingmar Posner
2025	J	`jnl`	Joint Decision-Making in Robot Teleoperation: When are Two Heads Better Than One? CoRR Duc-An Nguyen, Raunak Bhattacharyya, Clara Colombatto, Steve Fleming, Ingmar Posner, Nick Hawes
2025	J	`jnl`	Kaputt: A Large-Scale Dataset for Visual Defect Detection. CoRR Sebastian Höfer, Dorian Henning, Artemij Amiranashvili, Douglas Morrison, Mariliza Tzes, Ingmar Posner, Marc Matvienko, Alessandro Rennola, Anton Milan
2025	A*	`conf`	LUMOS: Language-Conditioned Imitation Learning with World Models. ICRA Iman Nematollahi, Branton DeMoss, Akshay L. Chandra, Nick Hawes, Wolfram Burgard, Ingmar Posner
2025	J	`jnl`	LUMOS: Language-Conditioned Imitation Learning with World Models. CoRR Iman Nematollahi, Branton DeMoss, Akshay L. Chandra, Nick Hawes, Wolfram Burgard, Ingmar Posner
2025	A*	`conf`	Offline Adaptation of Quadruped Locomotion Using Diffusion Models. ICRA Reece O'Mahoney, Alexander L. Mitchell, Wanming Yu, Ingmar Posner, Ioannis Havoutis
2025	J	`jnl`	Sparse Attention Post-Training for Mechanistic Interpretability. CoRR Florent Draye, Anson Lei, Ingmar Posner, Bernhard Schölkopf
2025	J	`jnl`	TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer. IEEE Trans. Robotics Shaohong Zhong, Alessandro Albini, Perla Maiolino, Ingmar Posner
2025	J	`jnl`	Task and Joint Space Dual-Arm Compliant Control. CoRR Alexander L. Mitchell, Tobit Flatscher, Ingmar Posner
2025	J	`jnl`	Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications. IEEE Access Kento Kawaharazuka, Jihoon Oh, Jun Yamada, Ingmar Posner, Yuke Zhu
2025	J	`jnl`	Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications. CoRR Kento Kawaharazuka, Jihoon Oh, Jun Yamada, Ingmar Posner, Yuke Zhu
2025	J	`jnl`	XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning. CoRR Daniel Palenicek, Florian Vogt, Joe Watson, Ingmar Posner, Jan Peters
2024	J	`jnl`	A Review of Differentiable Simulators. IEEE Access Rhys Newbury, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun
2024	J	`jnl`	A Review of Differentiable Simulators. CoRR Rhys Newbury, Jack Collins, Kerry He, Jiahe Pan, Ingmar Posner, David Howard, Akansel Cosgun
2024	J	`jnl`	AutoGraph: Predicting Lane Graphs From Traffic Observations. IEEE Robotics Autom. Lett. Jannik Zürn, Ingmar Posner, Wolfram Burgard
2024	J	`jnl`	Compete and Compose: Learning Independent Mechanisms for Modular World Models. CoRR Anson Lei, Frederik Nolte, Bernhard Schölkopf, Ingmar Posner
2024	J	`jnl`	D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation. CoRR Jun Yamada, Shaohong Zhong, Jack Collins, Ingmar Posner
2024	J	`jnl`	DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. CoRR Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins, Oiwi Parker Jones, Ingmar Posner
2024	J	`jnl`	DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer. IEEE Robotics Autom. Lett. Yizhe Wu, Haitz Sáez de Ocáriz Borde, Jack Collins, Oiwi Parker Jones, Ingmar Posner
2024	—	`conf`	Efficient skill acquisition for insertion tasks in obstructed environments. L4DC Jun Yamada, Jack Collins, Ingmar Posner
2024	Misc	`conf`	Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion. CoRL Alexander Luis Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner
2024	J	`jnl`	Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion. CoRR Alexander L. Mitchell, Wolfgang Merkt, Aristotelis Papatheodorou, Ioannis Havoutis, Ingmar Posner
2024	J	`jnl`	Offline Adaptation of Quadruped Locomotion using Diffusion Models. CoRR Reece O'Mahoney, Alexander L. Mitchell, Wanming Yu, Ingmar Posner, Ioannis Havoutis
2024	J	`jnl`	RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. IEEE Robotics Autom. Lett. Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
2024	A*	`conf`	Reward-Free Curricula for Training Robust World Models. ICLR Marc Rigter, Minqi Jiang, Ingmar Posner
2024	J	`jnl`	SPARTAN: A Sparse Transformer Learning Local Causation. CoRR Anson Lei, Bernhard Schölkopf, Ingmar Posner
2024	A*	`conf`	TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. ICRA Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner
2024	J	`jnl`	The Complexity Dynamics of Grokking. CoRR Branton DeMoss, Silvia Sapora, Jakob N. Foerster, Nick Hawes, Ingmar Posner
2024	J	`jnl`	World Models via Policy-Guided Trajectory Diffusion. Trans. Mach. Learn. Res. Marc Rigter, Jun Yamada, Ingmar Posner
2023	J	`jnl`	AutoGraph: Predicting Lane Graphs from Traffic Observations. CoRR Jannik Zürn, Ingmar Posner, Wolfram Burgard
2023	J	`jnl`	DITTO: Offline Imitation Learning with World Models. CoRR Branton DeMoss, Paul Duckworth, Nick Hawes, Ingmar Posner
2023	J	`jnl`	Efficient Skill Acquisition for Complex Manipulation Tasks in Obstructed Environments. CoRR Jun Yamada, Jack Collins, Ingmar Posner
2023	J	`jnl`	Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces. CoRR Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
2023	A*	`conf`	Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. ICRA Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner
2023	J	`jnl`	Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space. CoRR Jun Yamada, Chia-Man Hung, Jack Collins, Ioannis Havoutis, Ingmar Posner
2023	A*	`conf`	Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. NeurIPS Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
2023	J	`jnl`	Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization. CoRR Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ismael Morales, Ingmar Posner, Xiaowen Dong
2023	A*	`conf`	Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. ICLR Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner
2023	J	`jnl`	Projections of Model Spaces for Latent Graph Inference. CoRR Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner
2023	J	`jnl`	RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning. CoRR Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
2023	J	`jnl`	Reward-Free Curricula for Training Robust World Models. CoRR Marc Rigter, Minqi Jiang, Ingmar Posner
2023	J	`jnl`	TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer. CoRR Jun Yamada, Marc Rigter, Jack Collins, Ingmar Posner
2023	J	`jnl`	VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. IEEE Trans. Robotics Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
2023	J	`jnl`	Variational Causal Dynamics: Discovering Modular World Models from Interventions. Trans. Mach. Learn. Res. Anson Lei, Bernhard Schölkopf, Ingmar Posner
2023	J	`jnl`	World Models via Policy-Guided Trajectory Diffusion. CoRR Marc Rigter, Jun Yamada, Ingmar Posner
2023	J	`jnl`	You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. CoRR Walter Goodwin, Ioannis Havoutis, Ingmar Posner
2022	A*	`conf`	Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
2022	J	`jnl`	Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner
2022	A*	`conf`	Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. ICRA Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
2022	J	`jnl`	ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D. CoRR Yizhe Wu, Oiwi Parker Jones, Ingmar Posner
2022	J	`jnl`	Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning. CoRR Sasha Salter, Kristian Hartikainen, Walter Goodwin, Ingmar Posner
2022	J	`jnl`	Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. CoRR Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner
2022	J	`jnl`	Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation. IEEE Robotics Autom. Lett. Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner
2022	A*	`conf`	Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. ICRA Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
2022	Misc	`conf`	Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation. CoRL Shaohong Zhong, Alessandro Albini, Oiwi Parker Jones, Perla Maiolino, Ingmar Posner
2022	J	`jnl`	Universal Approximation of Functions on Sets. J. Mach. Learn. Res. Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner
2022	J	`jnl`	VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation. CoRR Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
2022	J	`jnl`	Variational Causal Dynamics: Discovering Modular World Models from Interventions. CoRR Anson Lei, Bernhard Schölkopf, Ingmar Posner
2022	Misc	`conf`	You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example. CoRL Walter Goodwin, Ioannis Havoutis, Ingmar Posner
2022	—	`conf`	Zero-Shot Category-Level Object Pose Estimation. ECCV (39) Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
2022	J	`jnl`	Zero-Shot Category-Level Object Pose Estimation. CoRR Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
2021	A	`conf`	APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. IROS Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner
2021	J	`jnl`	APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation. CoRR Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner
2021	J	`jnl`	E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling
2021	A*	`conf`	E(n) Equivariant Normalizing Flows. NeurIPS Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling
2021	J	`jnl`	From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. CoRR 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
2021	A*	`conf`	GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. NeurIPS Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
2021	J	`jnl`	GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement. CoRR Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
2021	A*	`conf`	Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. ICRA Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner
2021	A*	`conf`	Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. ICRA Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner
2021	J	`jnl`	Introspective Visuomotor Control: Exploiting Uncertainty in Deep Visuomotor Control for Failure Recovery. CoRR Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner
2021	—	`conf`	Iterative SE(3)-Transformers. GSI Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
2021	J	`jnl`	Iterative SE(3)-Transformers. CoRR Fabian B. Fuchs, Edward Wagstaff, Justas Dauparas, Ingmar Posner
2021	J	`jnl`	Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion. CoRR Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner
2021	J	`jnl`	Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. CoRR Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner
2021	A*	`conf`	There and Back Again: Learning to Simulate Radar Data for Real-World Applications. ICRA Rob Weston, Oiwi Parker Jones, Ingmar Posner
2021	J	`jnl`	Universal Approximation of Functions on Sets. CoRR Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner
2020	Misc	`conf`	Attention-Privileged Reinforcement Learning. CoRL Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2020	A	`conf`	First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. IROS Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Siddhant Gangapurwala, Oliwier Melon, Ioannis Havoutis, Ingmar Posner
2020	J	`jnl`	First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion. CoRR Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner
2020	A*	`conf`	GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. ICLR Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
2020	J	`jnl`	Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives. CoRR Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner
2020	A*	`conf`	Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. ICRA Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett
2020	J	`jnl`	Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. CoRR Li Sun, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Ingmar Posner, Tom Duckett
2020	A*	`conf`	RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. NeurIPS Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
2020	J	`jnl`	RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. CoRR Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
2020	J	`jnl`	Reconstruction Bottlenecks in Object-Centric Generative Models. CoRR Martin Engelcke, Oiwi Parker Jones, Ingmar Posner
2020	A*	`conf`	The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
2020	J	`jnl`	There and Back Again: Learning to Simulate Radar Data for Real-World Applications. CoRR Rob Weston, Oiwi Parker Jones, Ingmar Posner
2020	A*	`conf`	Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. ICRA Dan Barnes, Ingmar Posner
2020	J	`jnl`	Under the Radar: Learning to Predict Robust Keypoints for Odometry Estimation and Metric Localisation in Radar. CoRR Dan Barnes, Ingmar Posner
2019	J	`jnl`	Attention Privileged Reinforcement Learning For Domain Transfer. CoRR Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner
2019	J	`jnl`	End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning. CoRR Fabian B. Fuchs, Adam R. Kosiorek, Li Sun, Oiwi Parker Jones, Ingmar Posner
2019	J	`jnl`	GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations. CoRR Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
2019	J	`jnl`	Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks. CoRR Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner
2019	Misc	`conf`	Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. CoRL Dan Barnes, Rob Weston, Ingmar Posner
2019	J	`jnl`	Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information. CoRR Dan Barnes, Rob Weston, Ingmar Posner
2019	A*	`conf`	On the Limitations of Representing Functions on Sets. ICML Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne
2019	J	`jnl`	On the Limitations of Representing Functions on Sets. CoRR Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne
2019	A*	`conf`	Probably Unknown: Deep Inverse Sensor Modelling Radar. ICRA Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner
2019	A	`conf`	Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes. BMVC Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
2019	J	`jnl`	The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
2018	J	`jnl`	Deep tracking in the wild: End-to-end tracking using recurrent neural networks. Int. J. Robotics Res. Julie Dequaire, Peter Ondruska, Dushyant Rao, Dominic Zeng Wang, Ingmar Posner
2018	A*	`conf`	Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. ICRA Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner
2018	J	`jnl`	Dropout Distillation for Efficiently Estimating Model Confidence. CoRR Corina Gurau, Alex Bewley, Ingmar Posner
2018	A*	`conf`	Incremental Adversarial Domain Adaptation for Continually Changing Environments. ICRA Markus Wulfmeier, Alex Bewley, Ingmar Posner
2018	J	`jnl`	Learn from experience: Probabilistic prediction of perception performance to avoid failure. Int. J. Robotics Res. Corina Gurau, Dushyant Rao, Chi Hay Tong, Ingmar Posner
2018	—	`conf`	Long-Term Driving Behaviour Modelling for Driver Identification. ITSC Letizia Marchegiani, Ingmar Posner
2018	J	`jnl`	Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing. CoRR Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
2018	J	`jnl`	Probably Unknown: Deep Inverse Sensor Modelling In Radar. CoRR Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner
2018	J	`jnl`	Resource-Performance Tradeoff Analysis for Mobile Robots. IEEE Robotics Autom. Lett. Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
2018	A*	`conf`	Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. NeurIPS Adam R. Kosiorek, Hyunjik Kim, Yee Whye Teh, Ingmar Posner
2018	J	`jnl`	Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects. CoRR Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh
2018	—	`conf`	ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. ECCV (1) Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi
2018	J	`jnl`	ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking. CoRR Oliver Groth, Fabian Fuchs, Ingmar Posner, Andrea Vedaldi
2018	A*	`conf`	TACO: Learning Task Decomposition via Temporal Alignment for Control. ICML Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2018	J	`jnl`	TACO: Learning Task Decomposition via Temporal Alignment for Control. CoRR Kyriacos Shiarlis, Markus Wulfmeier, Sasha Salter, Shimon Whiteson, Ingmar Posner
2017	J	`jnl`	Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation. CoRR Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017	A	`conf`	Addressing appearance change in outdoor robotics with adversarial domain adaptation. IROS Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017	J	`jnl`	Driven to Distraction: Self-Supervised Distractor Learning for Robust Monocular Visual Odometry in Urban Environments. CoRR Dan Barnes, Will Maddern, Geoffrey Pascoe, Ingmar Posner
2017	A*	`conf`	Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy. ICRA Dan Barnes, Will Maddern, Ingmar Posner
2017	—	`conf`	Hierarchical Attentive Recurrent Tracking. NIPS Adam R. Kosiorek, Alex Bewley, Ingmar Posner
2017	J	`jnl`	Hierarchical Attentive Recurrent Tracking. CoRR Adam R. Kosiorek, Alex Bewley, Ingmar Posner
2017	J	`jnl`	Incremental Adversarial Domain Adaptation. CoRR Markus Wulfmeier, Alex Bewley, Ingmar Posner
2017	J	`jnl`	Large-scale cost function learning for path planning using deep inverse reinforcement learning. Int. J. Robotics Res. Markus Wulfmeier, Dushyant Rao, Dominic Zeng Wang, Peter Ondruska, Ingmar Posner
2017	A*	`conf`	Leveraging the urban soundscape: Auditory perception for smart vehicles. ICRA Letizia Marchegiani, Ingmar Posner
2017	Misc	`conf`	Mutual Alignment Transfer Learning. CoRL Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
2017	J	`jnl`	Mutual Alignment Transfer Learning. CoRR Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
2017	A*	`conf`	Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks. ICRA Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner
2017	J	`jnl`	What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics. CoRR Jeffrey Hawke, Alex Bewley, Ingmar Posner
2017	A	`conf`	What makes a place? Building bespoke place dependent object detectors for robotics. IROS Jeffrey Hawke, Alex Bewley, Ingmar Posner
2016	B	`conf`	Automated valet parking and charging for e-mobility. Intelligent Vehicles Symposium Ulrich Schwesinger, Mathias Bürki, Julian Timpner, Stephan Rottmann, Lars C. Wolf, Lina María Paz, Hugo Grimmett, Ingmar Posner, Paul Newman, Christian Häne, Lionel Heng, Gim Hee Lee, Torsten Sattler, Marc Pollefeys, Marco Allodi, Francesco Valenti, Keiji Mimura, Bernd Goebelsmann, Wojciech Derendarz, Peter Mühlfellner, Stefan Wonneberger, Rene Waldmann, Sebastian Grysczyk, Carsten Last, Stefan Bruning, Sven Horstmann, Marc Bartholomaus, Clemens Brummer, Martin Stellmacher, Fabian Pucks, Marcel Nicklas, Roland Siegwart
2016	A*	`conf`	Choosing a time and place for calibration of lidar-camera systems. ICRA Terry Scott, Akshay A. Morye, Pedro Pinies, Lina María Paz, Ingmar Posner, Paul Newman
2016	J	`jnl`	Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks. CoRR Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, Ingmar Posner
2016	A*	`conf`	Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. AAAI Peter Ondruska, Ingmar Posner
2016	J	`jnl`	Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks. CoRR Peter Ondruska, Ingmar Posner
2016	A	`conf`	Enabling intelligent energy management for robots using publicly available maps. IROS Oliver Bartlett, Corina Gurau, Letizia Marchegiani, Ingmar Posner
2016	J	`jnl`	End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks. CoRR Peter Ondruska, Julie Dequaire, Dominic Zeng Wang, Ingmar Posner
2016	J	`jnl`	Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy. CoRR Dan Barnes, William P. Maddern, Ingmar Posner
2016	—	`conf`	Fit for Purpose? Predicting Perception Performance Based on Past Experience. ISER Corina Gurau, Chi Hay Tong, Ingmar Posner
2016	J	`jnl`	Incorporating Human Domain Knowledge into Large Scale Cost Function Learning. CoRR Markus Wulfmeier, Dushyant Rao, Ingmar Posner
2016	J	`jnl`	Introspective classification for robot perception. Int. J. Robotics Res. Hugo Grimmett, Rudolph Triebel, Rohan Paul, Ingmar Posner
2016	A*	`conf`	Off the beaten track: Predicting localisation performance in visual teach and repeat. ICRA Julie Dequaire, Chi Hay Tong, Winston Churchill, Ingmar Posner
2016	J	`jnl`	Resource-Performance Trade-off Analysis for Mobile Robots. CoRR María Svorenová, Morteza Lahijanian, Akshay A. Morye, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska
2016	J	`jnl`	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks. CoRR Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner
2016	J	`jnl`	Watch This: Scalable Cost-Function Learning for Path Planning in Urban Environments. CoRR Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner
2016	A	`conf`	Watch this: Scalable cost-function learning for path planning in urban environments. IROS Markus Wulfmeier, Dominic Zeng Wang, Ingmar Posner
2015	J	`jnl`	Deep Inverse Reinforcement Learning. CoRR Markus Wulfmeier, Peter Ondruska, Ingmar Posner
2015	B	`conf`	Exploiting 3D semantic scene priors for online traffic light interpretation. Intelligent Vehicles Symposium Dan Barnes, William P. Maddern, Ingmar Posner
2015	A	`conf`	Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems. IROS Terry Scott, Akshay A. Morye, Pedro Pinies, Lina María Paz, Ingmar Posner, Paul Newman
2015	A*	`conf`	From dusk till dawn: Localisation at night using artificial light sources. ICRA Peter Nelson, Winston Churchill, Ingmar Posner, Paul Newman
2015	A*	`conf`	Integrating metric and semantic maps for vision-only automated parking. ICRA Hugo Grimmett, Mathias Bürki, Lina María Paz, Pedro Pinies, Paul Timothy Furgale, Ingmar Posner, Paul Newman
2015	A*	`conf`	Know your limits: Embedding localiser performance models in teach and repeat maps. ICRA Winston Churchill, Chi Hay Tong, Corina Gurau, Ingmar Posner, Paul Newman
2015	A*	`conf`	Learning to assess terrain from human demonstration using an introspective Gaussian-process classifier. ICRA Laszlo-Peter Berczi, Ingmar Posner, Timothy D. Barfoot
2015	J	`jnl`	Model-free detection and tracking of dynamic objects with 2D lidar. Int. J. Robotics Res. Dominic Zeng Wang, Ingmar Posner, Paul Newman
2015	J	`jnl`	Reading the Road: Road Marking Classification and Interpretation. IEEE Trans. Intell. Transp. Syst. Bonolo Mathibela, Paul Newman, Ingmar Posner
2015	A*	`conf`	Scheduled perception for energy-efficient path following. ICRA Peter Ondruska, Corina Gurau, Letizia Marchegiani, Chi Hay Tong, Ingmar Posner
2015	—	`conf`	Voting for Voting in Online Point Cloud Object Detection. Robotics: Science and Systems Dominic Zeng Wang, Ingmar Posner
2015	—	`conf`	Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception. FSR Jeffrey Hawke, Corina Gurau, Chi Hay Tong, Ingmar Posner
2014	J	`jnl`	Modelling Observation Correlations for Active Exploration and Robust Object Detection. CoRR Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy
2014	B	`conf`	Probabilistic attainability maps: Efficiently predicting driver-specific electric vehicle range. Intelligent Vehicles Symposium Peter Ondruska, Ingmar Posner
2014	A*	`conf`	The Route Not Taken: Driver-Centric Estimation of Electric Vehicle Range. ICAPS Peter Ondruska, Ingmar Posner
2013	C	`conf`	A New Approach to Model-Free Tracking with 2D Lidar. ISRR Dominic Zeng Wang, Ingmar Posner, Paul Newman
2013	A	`conf`	A roadwork scene signature based on the opponent colour model. IROS Bonolo Mathibela, Ingmar Posner, Paul Newman
2013	C	`conf`	Driven Learning for Driving: How Introspection Improves Semantic Mapping. ISRR Rudolph Triebel, Hugo Grimmett, Rohan Paul, Ingmar Posner
2013	A*	`conf`	Knowing when we don't know: Introspective classification for mission-critical decision making. ICRA Hugo Grimmett, Rohan Paul, Rudolph Triebel, Ingmar Posner
2013	B	`conf`	Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project. Intelligent Vehicles Symposium Paul Timothy Furgale, Ulrich Schwesinger, Martin Rufli, Wojciech Derendarz, Hugo Grimmett, Peter Mühlfellner, Stefan Wonneberger, Julian Timpner, Stephan Rottmann, Bo Li, Bastian Schmidt, Thien-Nghia Nguyen, Elena Cardarelli, Stefano Cattani, Stefan Bruning, Sven Horstmann, Martin Stellmacher, Holger Mielenz, Kevin Köser, Markus Beermann, Christian Hane, Lionel Heng, Gim Hee Lee, Friedrich Fraundorfer, René Iser, Rudolph Triebel, Ingmar Posner, Paul Newman, Lars C. Wolf, Marc Pollefeys, Stefan Brosig, Jan Effertz, Cédric Pradalier, Roland Siegwart
2012	—	`conf`	Can priors be trusted? Learning to anticipate roadworks. ITSC Bonolo Mathibela, Michael A. Osborne, Ingmar Posner, Paul Newman
2012	J	`jnl`	Modelling Observation Correlations for Active Exploration and Robust Object Detection. J. Artif. Intell. Res. Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy
2012	A*	`conf`	What could move? Finding cars, pedestrians and bicyclists in 3D laser data. ICRA Dominic Zeng Wang, Ingmar Posner, Paul Newman
2011	A*	`conf`	Active Exploration for Robust Object Detection. IJCAI Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy
2011	A*	`conf`	Adaptive Data Compression for Robot Perception. IJCAI Mike Smith, Ingmar Posner, Paul M. Newman
2011	J	`jnl`	Adaptive compression for 3D laser data. Int. J. Robotics Res. Mike Smith, Ingmar Posner, Paul M. Newman
2011	A*	`conf`	Planning to Perceive: Exploiting Mobility for Robust Object Detection. ICAPS Javier Vélez, Garrett Hemann, Albert S. Huang, Ingmar Posner, Nicholas Roy
2010	—	`conf`	Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data. Robotics: Science and Systems Mike Smith, Ingmar Posner, Paul Newman
2010	A	`conf`	Using text-spotting to query the world. IROS Ingmar Posner, Peter Corke, Paul M. Newman
2009	J	`jnl`	A generative framework for fast urban labeling using spatial and temporal context. Auton. Robots Ingmar Posner, Mark Cummins, Paul M. Newman
2009	J	`jnl`	Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers. Int. J. Robotics Res. Paul Newman, Gabe Sibley, Mike Smith, Mark Cummins, Alastair Harrison, Christopher Mei, Ingmar Posner, Robbie Shade, Derik Schröter, Liz Murphy, Winston Churchill, Dave Cole, Ian D. Reid
2008	—	`conf`	Fast Probabilistic Labeling of City Maps. Robotics: Science and Systems Ingmar Posner, Mark Cummins, Paul Newman
2008	J	`jnl`	Online generation of scene descriptions in urban environments. Robotics Auton. Syst. Ingmar Posner, Derik Schröter, Paul M. Newman
2007	A*	`conf`	Describing Composite Urban Workspaces. ICRA Ingmar Posner, Derik Schröter, Paul M. Newman
2007	C	`conf`	Describing, Navigating and Recognising Urban Spaces - Building an End-to-End SLAM System. ISRR Paul Newman, Manjari Chandran-Ramesh, Dave Cole, Mark Cummins, Alastair Harrison, Ingmar Posner, Derik Schröter
2006	—	`conf`	Using Scene Similarity for Place Labelling. ISER Ingmar Posner, Derik Schröter, Paul M. Newman