| Key-value memory networks for directly reading documents A Miller, A Fisch, J Dodge, AH Karimi, A Bordes, J Weston EMNLP: Empirical Methods in Natural Language Processing, 2016 | 858 | 2016 |
| MACE: Model-Agnostic Counterfactual Explanations for Consequential Decisions AH Karimi, G Barthe, B Belle, I Valera AISTATS 2020, 2019 | 180* | 2019 |
| Algorithmic Recourse: from Counterfactual Explanations to Interventions AH Karimi, B Schölkopf, I Valera ACM-FAccT 2021, 2020 | 153 | 2020 |
| A survey of algorithmic recourse: contrastive explanations and consequential recommendations AH Karimi, G Barthe, B Schölkopf, I Valera ACM Computing Surveys (CSUR), 2022 | 104* | 2022 |
| Algorithmic recourse under imperfect causal knowledge: a probabilistic approach AH Karimi*, J von Kügelgen*, B Schölkopf, I Valera NeurIPS 2020, 2020 | 81 | 2020 |
| On the Fairness of Causal Algorithmic Recourse J von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf AAAI 2022, 2022 | 27 | 2022 |
| Automated detection and cell density assessment of keratocytes in the human corneal stroma from ultrahigh resolution optical coherence tomograms AH Karimi, A Wong, K Bizheva Biomedical Optics Express, 2011 | 26 | 2011 |
| JADE: Joint autoencoders for dis-entanglement E Banijamali*, AH Karimi*, A Wong, A Ghodsi NeurIPS 2017 (Workshop on Learning Disentangled Representations), 2017 | 16 | 2017 |
| Scaling Guarantees for Nearest Counterfactual Explanations K Mohammadi, AH Karimi, G Barthe, I Valera ACM-AIES 2021, 2020 | 15 | 2020 |
| On the Adversarial Robustness of Causal Algorithmic Recourse R Dominguez-Olmedo, AH Karimi, B Schölkopf ICML 2022, 2022 | 12 | 2022 |
| Distance correlation autoencoder R Wang, AH Karimi, A Ghodsi IJCNN: IEEE International Joint Conference on Neural Networks, 2018 | 9* | 2018 |
| Comparative analysis of gait speed estimation using wideband and narrowband radars, thermal camera, and motion tracking suit technologies PP Morita, AS Rocha, G Shaker, D Lee, J Wei, B Fong, A Thatte, A Karimi, ... Journal of Healthcare Informatics Research 4, 215-237, 2020 | 8 | 2020 |
| Deep Variational Sufficient Dimensionality Reduction E Banijamali, AH Karimi, A Ghodsi NeurIPS 2019 Workshop on Bayesian Deep Learning, 2018 | 8 | 2018 |
| Key-Value Memory Networks AH Miller, AJ Fisch, JD Dodge, AH Karimi, A Bordes, JE Weston US Patent App. 16/002,463, 2018 | 6 | 2018 |
| Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification AH Karimi, MJ Shafiee, F Khalvati, MA Haider, A Ghodsi, A Wong ICIAR: International Conference on Image Analysis and Recognition, 2017 | 6 | 2017 |
| Spatio-temporal saliency detection using abstracted fully-connected graphical models AH Karimi, MJ Shafiee, C Scharfenberger, I BenDaya, S Haider, ... ICIP: IEEE International Conference on Image Processing, 2016 | 6 | 2016 |
| Comparison of gait speed estimation of multiple sensor-based technologies PP Morita, AS Rocha, G Shaker, D Lee, J Wei, B Fong, A Thatte, ... Proceedings of the International Symposium on Human Factors and Ergonomics …, 2019 | 4 | 2019 |
| SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections AH Karimi, A Wong, A Ghodsi arXiv preprint arXiv:1811.03166, 2018 | 3 | 2018 |
| A Summary Of The Kernel Matrix, And How To Learn It Effectively Using Semidefinite Programming AH Karimi arXiv preprint arXiv:1709.06557, 2017 | 3 | 2017 |
| Exploring new forms of random projections for prediction and dimensionality reduction in big-data regimes AH Karimi University of Waterloo, 2018 | 1 | 2018 |
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
