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Found 3 papers, 1 papers with code
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
Recent methods addressing this problem typically differentiate through time in a particle filter, which requires workarounds to the non-differentiable resampling step, that yield biased or high variance gradient estimates.
Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record
In an EHR case study, we applied the SDOH extractor to a large clinical data set with 225, 089 patients and 430, 406 notes with social history sections and compared the extracted SDOH information with existing structured data.
A Model of Market Making and Price Impact
Traders constantly consider the price impact associated with changing their positions.
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