Ingmar Posner
28 papers · 2008–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (57) π Conference Polyglot Β· Gold π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π§¬
Topic Evolution
π
Grand Slam
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Silver
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(143)
Venues
Top co-authors
Research topics
Keywords
generative model
(3)
reinforcement learning
(3)
video generation
(2)
object representation
(2)
variational inference
(2)
domain randomization
(2)
object tracking
(2)
latent space
(2)
scene generation
(2)
permutation invariance
(2)
neural radiance field
(2)
sim-to-real transfer
(2)
pose estimation
(1)
anomaly detection
(1)
sample efficiency
(1)
transfer learning
(1)
continual learning
(1)
deep reinforcement learning
(1)
manifold learning
(1)
self-supervised learning
(1)
Papers
Disentangling Dynamical Systems: Causal Representation Learning Meets Local Sparse Attention
CLeaR 2026
TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint)
AAAI 2026
COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping
CoRL 2025
D-Cubed: Latent Diffusion Trajectory Optimisation for Dexterous Deformable Manipulation
CoRL 2025
Kaputt: A Large-Scale Dataset for Visual Defect Detection
ICCV 2025
Efficient skill acquisition for insertion tasks in obstructed environments
L4DC 2024
Gaitor: Learning a Unified Representation Across Gaits for Real-World Quadruped Locomotion
CoRL 2024
Reward-Free Curricula for Training Robust World Models
ICLR 2024
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
NeurIPS 2023
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
ICLR 2023
Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation
CoRL 2022
Universal Approximation of Functions on Sets
JMLR 2022
You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example
CoRL 2022
Zero-Shot Category-Level Object Pose Estimation
ECCV 2022
E(n) Equivariant Normalizing Flows
NeurIPS 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
NeurIPS 2021
Attention-Privileged Reinforcement Learning
CoRL 2020
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
ICLR 2020
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
NeurIPS 2020
Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
CoRL 2019
On the Limitations of Representing Functions on Sets
ICML 2019
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
NeurIPS 2018
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
ECCV 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control
ICML 2018
Hierarchical Attentive Recurrent Tracking
NeurIPS 2017
Mutual Alignment Transfer Learning
CoRL 2017
Voting for Voting in Online Point Cloud Object Detection
RSS 2015
Fast Probabilistic Labeling of City Maps
RSS 2008