Amir-Hossein Karimi
Amir-Hossein Karimi
Max Planck Institute for Intelligent Systems
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
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
5572016
MACE: Model-Agnostic Counterfactual Explanations for Consequential Decisions
AH Karimi, G Barthe, B Belle, I Valera
AISTATS 2020, 2019
62*2019
Algorithmic Recourse: from Counterfactual Explanations to Interventions
AH Karimi, B Schölkopf, I Valera
ACM FAccT 2021, 2020
392020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
AH Karimi, J von Kügelgen, B Schölkopf, I Valera
NeurIPS 2020, 2020
282020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
AH Karimi, G Barthe, B Schölkopf, I Valera
arXiv preprint arXiv:2010.04050, 2020
272020
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
232011
JADE: Joint autoencoders for dis-entanglement
E Banijamali, AH Karimi, A Wong, A Ghodsi
NeurIPS 2017 Workshop on Learning Disentangled Representations, 2017
11*2017
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
72017
On the fairness of causal algorithmic recourse
J von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf
arXiv preprint arXiv:2010.06529, 2020
62020
Distance correlation autoencoder
R Wang, AH Karimi, A Ghodsi
IJCNN: IEEE International Joint Conference on Neural Networks, 2018
6*2018
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
62016
Deep Variational Sufficient Dimensionality Reduction
E Banijamali, AH Karimi, A Ghodsi
NeurIPS 2019 Workshop on Bayesian Deep Learning, 2018
32018
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
32018
Key-Value Memory Networks
AH Miller, AJ Fisch, JD Dodge, AH Karimi, A Bordes, JE Weston
US Patent App. 16/002,463, 2018
22018
A Summary Of The Kernel Matrix, And How To Learn It Effectively Using Semidefinite Programming
AH Karimi
arXiv preprint arXiv:1709.06557, 2017
22017
Key-Value memory networks for directly reading documents (EMNLP16)
AH Miller, A Fisch, J Dodge, AH Karimi, A Bordes, J Weston
22016
Scaling Guarantees for Nearest Counterfactual Explanations
K Mohammadi, AH Karimi, G Barthe, I Valera
ACM AIES 2021, 2020
12020
Exploring new forms of random projections for prediction and dimensionality reduction in big-data regimes
AH Karimi
University of Waterloo, 2018
12018
Ensembles of Random Projections for Nonlinear Dimensionality Reduction
AH Karimi, MJ Shafiee, A Ghodsi, A Wong
JCVIS: Journal of Computational Vision and Imaging Systems, 2017
12017
Synthesizing deep neural network architectures using biological synaptic strength distributions
AH Karimi, MJ Shafiee, A Ghodsi, A Wong
arXiv preprint arXiv:1707.00081, 2017
12017
The system can't perform the operation now. Try again later.
Articles 1–20