Liam Paull
20 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Renaissance Researcher (7) π Conference Polyglot (8) π Academic Marathon (10) π Interdisciplinary Bridge
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Taxonomy Completionist
(39)
π§
Keyword Pioneer
π
Conference Polyglot
(8)
π
Grand Slam
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Century Club
(20)
ποΈ
Keyword Collector
(77)
β‘
Prolific Year
(5)
π₯
Unstoppable
(7)
π
Trend Setter
Conferences
ICLR (6)
CORL (3)
CVPR (3)
NIPS (3)
RSS (2)
AAAI (1)
ECCV (1)
ICML (1)
Top co-authors
Keywords
autonomous driving
(2)
neural network
(2)
zero-shot learning
(2)
representation learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
reinforcement learning
(1)
semantic segmentation
(1)
image generation
(1)
online learning
(1)
sim-to-real transfer
(1)
transfer learning
(1)
hyperparameter optimization
(1)
perceptual learning
(1)
self-supervised learning
(1)
uncertainty quantification
(1)
knowledge distillation
(1)
multimodal learning
(1)
contrastive learning
(1)
langevin dynamics
(1)
Papers
Safety Representations for Safer Policy Learning
ICLR 2025
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
CVPR 2025
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
CORL 2024
Ghost on the Shell: An Expressive Representation of General 3D Shapes
ICLR 2024
Robust and Controllable Object-Centric Learning through Energy-based Models
ICLR 2023
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
CVPR 2023
ConceptFusion: Open-set multimodal 3D mapping
RSS 2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
ICLR 2023
Estimating Regression Predictive Distributions with Sample Networks
AAAI 2023
Structural Causal 3D Reconstruction
ECCV 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
ICLR 2022
gradSim: Differentiable simulation for system identification and visuomotor control
ICLR 2021
Iterative Teaching by Label Synthesis
NIPS 2021
Orthogonal Over-Parameterized Training
CVPR 2021
Taskography: Evaluating robot task planning over large 3D scene graphs
CORL 2021
Look-ahead Meta Learning for Continual Learning
NIPS 2020
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
NIPS 2020
Perceptual Generative Autoencoders
ICML 2020
Active Domain Randomization
CORL 2019
Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation
RSS 2015