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Strict Online Variational Bayesian Filtering: What Survived The Stress Tests

A synthesis of strict online nonlinear filtering experiments: K2 FIVO bridge survived, while trajectories, couplings, flows, and predictive pressure exposed calibration failures.

ai-research, variational-filtering, nonlinear-filtering, particle-filtering, assumed-density-filtering, expectation-propagation

Strict Nonlinear Filtering With Mixtures, Particles, And Flows

A research note on turning Kalman-filter intuition into reference-free nonlinear filters with mixture beliefs, FIVO diagnostics, and scalar flows.

ai-research, variational-filtering, nonlinear-filtering, particle-filtering, normalizing-flows

Amortizing Quadrature Filters Without Losing Calibration

A strict mixture filter learned from deterministic Power-EP teachers improved some nonlinear alias cases, but exposed a hard alias-mass calibration tradeoff.

ai-research, variational-filtering, nonlinear-filtering, assumed-density-filtering, expectation-propagation

A Tour Of Learned And Reference-Free Bayesian Filters

A long-form guide to the Kalman, ELBO, distillation, IWAE, FIVO, ADF, and Power-EP filtering experiments in ml-examples.

ai-research, bayesian-filtering, variational-filtering, nonlinear-filtering, assumed-density-filtering

Reference-Free Quadrature Filters For The Sine Benchmark

Deterministic quadrature ADF and Power-EP baselines showed that much of the nonlinear filtering gap was algorithmic, not just amortization.

ai-research, nonlinear-filtering, assumed-density-filtering, expectation-propagation

When Mixtures Beat Local ELBO In Nonlinear Filtering

Small strict mixture filters with IWAE and FIVO-style objectives closed much of the nonlinear calibration gap while staying reference-free.

ai-research, variational-filtering, nonlinear-filtering, iwae, particle-filtering