A new causal definition of the proportion of longitudinal treatment effect explained by a surrogate, estimated via state-space models with Kalman filter and bootstrap.
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Markovian population models induce unique genealogy processes whose exact likelihoods are given by model-determined filter equations, generalizing prior phylodynamic methods.
VOiLA learns task-agnostic POMDP models with diffusion models, distills them for speed, and integrates with vectorized online planning to match or exceed baselines using under 10% of the training data while generalizing better and succeeding on physical robots.
PhySwarm combines a multi-phase advection-diffusion-reaction density model with an equivalent microscopic motion model and a neural-physics controller trained via RL-PINN to generate and control multi-stage emergent behaviors in robot swarms.
citing papers explorer
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A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
A new causal definition of the proportion of longitudinal treatment effect explained by a surrogate, estimated via state-space models with Kalman filter and bootstrap.
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Exact phylodynamic likelihood via structured Markov genealogy processes
Markovian population models induce unique genealogy processes whose exact likelihoods are given by model-determined filter equations, generalizing prior phylodynamic methods.
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VOiLA: Vectorized Online Planning with Learned Diffusion Model for POMDP Agents
VOiLA learns task-agnostic POMDP models with diffusion models, distills them for speed, and integrates with vectorized online planning to match or exceed baselines using under 10% of the training data while generalizing better and succeeding on physical robots.
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Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms
PhySwarm combines a multi-phase advection-diffusion-reaction density model with an equivalent microscopic motion model and a neural-physics controller trained via RL-PINN to generate and control multi-stage emergent behaviors in robot swarms.