Liam Paull

20 papers · 2015–2025 · 8 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (50) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Grand Slam 🧬 Topic Evolution 🌈 Renaissance Researcher (6) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (113)

Venues

ICLR (6) CoRL (3) CVPR (3) NeurIPS (3) RSS (2) AAAI (1) ECCV (1) ICML (1)

Top co-authors

Zhen Liu (5) Weiyang Liu (5) Bernhard Schölkopf (3) Adrian Weller (3) Yoshua Bengio (3) Ruixiang ZHANG (3) Florian Shkurti (3) Florian Golemo (3) Michael J. Black (2) Roger Girgis (2)

Research topics

Machine Learning (11) Computer Vision (8) Deep Learning (8) Artificial Intelligence (7) Learning Types · Deep Learning (6) Reinforcement Learning (5) Core AI (5) Generation (5) Learning Types · Machine Learning (5) Optimization & Theory (5) Application Areas (4) Learning Paradigms (4) Models (4) Analysis (3) Core Methods (3)

Keywords

energy-based model (2) differentiable rendering (2) neural network (2) autonomous driving (2) zero-shot learning (2) reinforcement learning (1) contrastive learning (1) generative modeling (1) semantic segmentation (1) perceptual learning (1) sample efficiency (1) offline reinforcement learning (1) image generation (1) online learning (1) representation learning (1) hyperparameter optimization (1) bayesian inference (1) catastrophic forgetting (1) transfer learning (1) sim-to-real transfer (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 ConceptFusion: Open-set multimodal 3D mapping RSS 2023 Estimating Regression Predictive Distributions with Sample Networks AAAI 2023 MeshDiffusion: Score-based Generative 3D Mesh Modeling ICLR 2023 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 Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation ICLR 2022 Structural Causal 3D Reconstruction ECCV 2022 gradSim: Differentiable simulation for system identification and visuomotor control ICLR 2021 Iterative Teaching by Label Synthesis NeurIPS 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 NeurIPS 2020 Perceptual Generative Autoencoders ICML 2020 Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling NeurIPS 2020 Active Domain Randomization CoRL 2019 Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation RSS 2015