Search Results for author: Lorenz Linhardt

Found 4 papers, 3 papers with code

Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks

no code implementations12 Apr 2023 Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon

In this paper, we demonstrate that acceptance of explanations by the user is not a guarantee for a machine learning model to be robust against Clever Hans effects, which may remain undetected.

Human alignment of neural network representations

1 code implementation2 Nov 2022 Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith

Linear transformations of neural network representations learned from behavioral responses from one dataset substantially improve alignment with human similarity judgments on the other two datasets.

Odd One Out

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves

1 code implementation3 Feb 2019 Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen

Estimating what would be an individual's potential response to varying levels of exposure to a treatment is of high practical relevance for several important fields, such as healthcare, economics and public policy.

counterfactual Model Selection

Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks

1 code implementation ICLR 2019 Patrick Schwab, Lorenz Linhardt, Walter Karlen

However, current methods for training neural networks for counterfactual inference on observational data are either overly complex, limited to settings with only two available treatments, or both.

counterfactual Counterfactual Inference

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