Soft Geometric Inductive Bias for Object Centric Dynamics
cs.LG, cs.AI, stat.ML
Submitted: 2025-12-17
Updated: 2026-09-27
Terminology
Sources
- MONet: Unsupervised Scene Decomposition and Representation
- Improving Transformer World Models for Data-Efficient RL
- Training Agents Inside of Scalable World Models
- AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
- Platonic Transformers: A Solid Choice For Equivariance
- Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
- Contrastive Learning of Structured World Models
- Structured Object-Aware Physics Prediction for Video Modeling and Planning
- BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics
- Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
- Almost Equivariance via Lie Algebra Convolutions
- Approximate Equivariance in Reinforcement Learning
- Deep Learning is Not So Mysterious or Different
- SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
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