Kalman Filtering
PulseAugur coverage of Kalman Filtering — every cluster mentioning Kalman Filtering across labs, papers, and developer communities, ranked by signal.
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Two-Layer Auto-Regressive Models Learn Kalman Filtering
Researchers have demonstrated that two-layer linear auto-regressive models can learn to approximate Kalman filtering when trained on data from partially observed linear dynamical systems. The study shows that the models…
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New analytic bijections enhance normalizing flow models
Researchers have developed new analytic bijections for normalizing flows, addressing the challenge of creating expressive yet invertible transformations. These new methods offer global smoothness and closed-form analyti…
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New Kalman Filter framework models complex time-series data on cell complexes
Researchers have developed a new topology-aware state space framework for inferring latent dynamics from complex time-series data. This approach utilizes stochastic partial differential equations on cell complexes to mo…
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DVPO and EVPO advance LLM post-training with novel RL optimization techniques
Researchers have introduced DVPO, a new reinforcement learning framework designed for improving Large Language Model (LLM) post-training, particularly when dealing with noisy or incomplete supervision signals. DVPO util…