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Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

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Particle number control for direct simulation Monte-Carlo methodology using kernel estimates

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Assessment of abundance and community composition of benthic macroinvertebrates: recommendations for improved sampling, fixation and extraction of oligochaetes

Sequential Outlier Detection Based on Incremental Decision Trees

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

Wasserstein Distributionally Robust Kalman Filtering

High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

Stochastic vs. sensitivity-based integral parameter and nuclear data adjustments

Sampling at unknown locations: Uniqueness and reconstruction under constraints

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Sequential Outlier Detection Based on Incremental Decision Trees

Wasserstein Distributionally Robust Kalman Filtering

Stochastic vs. sensitivity-based integral parameter and nuclear data adjustments

Bayesian adaptation of chaos representations using variational inference and sampling on geodesics

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Learning to Reconstruct Texture-less Deformable Surfaces from a Single View

Assessment of abundance and community composition of benthic macroinvertebrates: recommendations for improved sampling, fixation and extraction of oligochaetes

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise

Sampling at unknown locations: Uniqueness and reconstruction under constraints

High Dimensional Bayesian Optimization via Additive Models with Overlapping Groups