Author of the publication

The (Un)reliability of Saliency Methods.

, , , , , , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects., , , , , and . CoRR, (2021)Quantum-Chemical Insights from Interpretable Atomistic Neural Networks., , , and . Explainable AI, volume 11700 of Lecture Notes in Computer Science, Springer, (2019)iNNvestigate Neural Networks!, , , , , , , , , and . J. Mach. Learn. Res., (2019)Inverse design of 3d molecular structures with conditional generative neural networks., , , , and . CoRR, (2021)Higher-Order Explanations of Graph Neural Networks via Relevant Walks., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (11): 7581-7596 (2022)Learning how to explain neural networks: PatternNet and PatternAttribution., , , , , , and . ICLR (Poster), OpenReview.net, (2018)The (Un)reliability of saliency methods., , , , , , , and . CoRR, (2017)Learning representations of molecules and materials with atomistic neural networks., , and . CoRR, (2018)Generating equilibrium molecules with deep neural networks., , and . CoRR, (2018)Autonomous robotic nanofabrication with reinforcement learning., , , , , and . CoRR, (2020)