Generating Survival Interpretable Trajectories and Data

1 code implementation • 19 Feb 2024 • Andrei V. Konstantinov, Stanislav R. Kirpichenko, Lev V. Utkin

A new model for generating survival trajectories and data based on applying an autoencoder of a specific structure is proposed.

counterfactual Counterfactual Explanation

Dual feature-based and example-based explanation methods

1 code implementation • 29 Jan 2024 • Andrei V. Konstantinov, Boris V. Kozlov, Stanislav R. Kirpichenko, Lev V. Utkin

A new approach to the local and global explanation is proposed.

Feature Importance

BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect

1 code implementation • 19 Nov 2022 • Stanislav R. Kirpichenko, Lev V. Utkin, Andrei V. Konstantinov

Instead of typical kernel functions in the Beran estimator, it is proposed to implement kernels in the form of neural networks of a specific form called the neural kernels.

Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression

1 code implementation • 19 Jul 2022 • Andrei V. Konstantinov, Stanislav R. Kirpichenko, Lev V. Utkin

The network is trained on controls, and it replaces standard kernels with a set of neural subnetworks with shared parameters such that every subnetwork implements the trainable kernel, but the whole network implements the Nadaraya-Watson estimator.

regression Transfer Learning