Learning Collective Dynamics with Differentiable Gaussian Representations

arXiv:2609.28405 · cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/OranAi-Ltd/oransim

Project page: https://worldmodels.github.io

Terminology

• Aggregation — 7× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• World Model — 6× in this paper · explained in 7 episodes
• Adam — 4× in this paper · explained in 2 episodes
• 3D Gaussian Splatting — 3× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Differentiable Gaussian Dynamics — 3× in this paper
• Gaussian Splatting — 3× in this paper · explained in 4 episodes
• Agent-Based Simulation — 2× in this paper · explained in 1 episode
• Regularization — 2× in this paper · explained in 3 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Probabilistic Forecasting — 1× in this paper · explained in 3 episodes

Sources

• Learning Hidden Markov Models from Aggregate Observations
• RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
• Estimating Discrete Choice Demand Models with Sparse Market-Product Shocks
• ContactGaussian-WM: Learning Physics-Grounded World Model from Videos

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