Globally Interpretable Classifiers via Boolean Formulas with Dynamic Propositions

Autor: Jaakkola, Reijo, Janhunen, Tomi, Kuusisto, Antti, Rankooh, Masood Feyzbakhsh, Vilander, Miikka

Interpretability and explainability are among the most important challenges of modern artificial intelligence, being mentioned even in various legislative sources. In this article, we develop a method for extracting immediately human interpretable cl

Externí odkaz: http://arxiv.org/abs/2406.01114

Interpretable classifiers for tabular data via discretization and feature selection

Autor: Jaakkola, Reijo, Janhunen, Tomi, Kuusisto, Antti, Rankooh, Masood Feyzbakhsh, Vilander, Miikka

We introduce a method for computing immediately human interpretable yet accurate classifiers from tabular data. The classifiers obtained are short Boolean formulas, computed via first discretizing the original data and then using feature selection co

Externí odkaz: http://arxiv.org/abs/2402.05680

Short Boolean Formulas as Explanations in Practice

Autor: Jaakkola, Reijo, Janhunen, Tomi, Kuusisto, Antti, Rankooh, Masood Feyzbakhsh, Vilander, Miikka

We investigate explainability via short Boolean formulas in the data model based on unary relations. As an explanation of length k, we take a Boolean formula of length k that minimizes the error with respect to the target attribute to be explained. W

Externí odkaz: http://arxiv.org/abs/2307.06971

New perspectives on categorical Torelli theorems for del Pezzo threefolds

Autor: Feyzbakhsh, Soheyla, Liu, Zhiyu, Zhang, Shizhuo

Let $Y_d$ be a del Pezzo threefold of Picard rank one and degree $d\geq 2$. In this paper, we apply two different viewpoints to study $Y_d$ via a particular admissible subcategory of its bounded derived category, called the Kuznetsov component: (i) B

Externí odkaz: http://arxiv.org/abs/2304.01321

Search for Two-neutrino Double-Beta Decay of $^{136}\rm Xe$ to the $0^+_1$ excited state of $^{136}\rm Ba$ with the Complete EXO-200 Dataset

Autor: Collaboration, EXO-200, Kharusi, S. Al, Anton, G., Badhrees, I., Barbeau, P. S., Beck, D., Belov, V., Bhatta, T., Breidenbach, M., Brunner, T., Cao, G. F., Cen, W. R., Chambers, C., Cleveland, B., Coon, M., Craycraft, A., Daniels, T., Darroch, L., Daugherty, S. J., Davis, J., Delaquis, S., Der Mesrobian-Kabakian, A., DeVoe, R., Dilling, J., Dolgolenko, A., Dolinski, M. J., Echevers, J., Fairbank Jr., W., Fairbank, D., Farine, J., Feyzbakhsh, S., Fierlinger, P., Fu, Y. S., Fudenberg, D., Gautam, P., Gornea, R., Gratta, G., Hall, C., Hansen, E. V., Hoessl, J., Hufschmidt, P., Hughes, M., Iverson, A., Jamil, A., Jessiman, C., Jewell, M. J., Johnson, A., Karelin, A., Kaufman, L. J., Koffas, T., Krücken, R., Kuchenkov, A., Kumar, K. S., Lan, Y., Larson, A., Lenardo, B. G., Leonard, D. S., Li, G. S., Li, S., Li, Z., Licciardi, C., Lin, Y. H., MacLellan, R., McElroy, T., Michel, T., Mong, B., Moore, D. C., Murray, K., Njoya, O., Nusair, O., Odian, A., Ostrovskiy, I., Perna, A., Piepke, A., Pocar, A., Retière, F., Robinson, A. L., Rowson, P. C., Runge, J., Schmidt, S., Sinclair, D., Skarpaas, K., Soma, A. K., Stekhanov, V., Tarka, M., Thibado, S., Todd, J., Tolba, T., Totev, T. I., Tsang, R., Veenstra, B., Veeraraghavan, V., Vogel, P., Vuilleumier, J. -L., Wagenpfeil, M., Watkins, J., Weber, M., Wen, L. J., Wichoski, U., Wrede, G., Wu, S. X., Xia, Q., Yahne, D. R., Yang, L., Yen, Y. -R., Zeldovich, O. Ya., Ziegler, T.

Publikováno v: Chinese Physics C, Volume 47, Number 10, 2023

A new search for two-neutrino double-beta ($2\nu\beta\beta$) decay of $^{136}\rm Xe$ to the $0^+_1$ excited state of $^{136}\rm Ba$ is performed with the full EXO-200 dataset. A deep learning-based convolutional neural network is used to discriminate

Externí odkaz: http://arxiv.org/abs/2303.01103