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Amir-Hossein Karimi
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2020 – today
- 2024
- [c19]Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi:
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. AAAI 2024: 11847-11855 - [c18]Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. ICML 2024 - [i20]Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. CoRR abs/2402.11729 (2024) - 2023
- [b1]Amir-Hossein Karimi:
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness. ETH Zurich, Zürich, Switzerland, 2023 - [j5]Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera:
A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Comput. Surv. 55(5): 95:1-95:29 (2023) - [c17]Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi:
Robustness Implies Fairness in Causal Algorithmic Recourse. FAccT 2023: 984-1001 - [c16]Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle, Günther Specht:
HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems. GvDB 2023 - [c15]Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf:
On Data Manifolds Entailed by Structural Causal Models. ICML 2023: 8188-8201 - [c14]Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim:
On the Relationship Between Explanation and Prediction: A Causal View. ICML 2023: 15861-15883 - [c13]Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu:
Socially Responsible Machine Learning: A Causal Perspective. KDD 2023: 5819-5820 - [i19]Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi:
Robustness Implies Fairness in Causal Algorithmic Recourse. CoRR abs/2302.03465 (2023) - [i18]Masoud Akbari, Amir-Hossein Karimi, Tayyebeh Saeedi, Zeinab Saeidi, Kiana Ghezelbash, Fatemeh Shamsezat, Mohammad Akbari, Ali Mohades:
A Persian Benchmark for Joint Intent Detection and Slot Filling. CoRR abs/2303.00408 (2023) - [i17]Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi:
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. CoRR abs/2308.08938 (2023) - 2022
- [j4]Mohammad Reza Karimi, Amir-Hossein Karimi, Shamsozoha Abolmaali, Mehdi Sadeghi, Ulf Schmitz:
Prospects and challenges of cancer systems medicine: from genes to disease networks. Briefings Bioinform. 23(1) (2022) - [j3]Amir-Hossein Karimi, Seyed Farshad Mirian, Farshid Mahmoudi, Ghazale Geraily, Héctor René Vega-Carrillo, Majid Mohiuddin:
Feasibility of 18-MV grid therapy from radiation protection aspects: unwanted dose and fatal cancer risk caused by photoneutrons and scattered photons. Comput. Methods Programs Biomed. 213: 106524 (2022) - [c12]Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf:
On the Fairness of Causal Algorithmic Recourse. AAAI 2022: 9584-9594 - [c11]Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf:
On the Adversarial Robustness of Causal Algorithmic Recourse. ICML 2022: 5324-5342 - [i16]Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim:
On the Relationship Between Explanation and Prediction: A Causal View. CoRR abs/2212.06925 (2022) - 2021
- [j2]Amir-Hossein Karimi, Luigia Ripani, Tryphon T. Georgiou:
Statistical Learning in Wasserstein Space. IEEE Control. Syst. Lett. 5(3): 899-904 (2021) - [c10]Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera:
Scaling Guarantees for Nearest Counterfactual Explanations. AIES 2021: 177-187 - [c9]Amir-Hossein Karimi, Tryphon T. Georgiou:
The Challenge of Small Data: Dynamic Mode Decomposition, Redux. CDC 2021: 2276-2281 - [c8]Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera:
Algorithmic Recourse: from Counterfactual Explanations to Interventions. FAccT 2021: 353-362 - [i15]Amir-Hossein Karimi, Tryphon T. Georgiou:
The Challenge of Small Data: Dynamic Mode Decomposition, Redux. CoRR abs/2104.04005 (2021) - [i14]Amir-Hossein Karimi, Tryphon T. Georgiou:
Regression analysis of distributional data through Multi-Marginal Optimal transport. CoRR abs/2106.15031 (2021) - [i13]Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf:
On the Adversarial Robustness of Causal Algorithmic Recourse. CoRR abs/2112.11313 (2021) - 2020
- [c7]Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera:
Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS 2020: 895-905 - [c6]Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera:
Towards Causal Algorithmic Recourse. xxAI@ICML 2020: 139-166 - [c5]Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera:
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. NeurIPS 2020 - [i12]Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera:
Algorithmic Recourse: from Counterfactual Explanations to Interventions. CoRR abs/2002.06278 (2020) - [i11]Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera:
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. CoRR abs/2006.06831 (2020) - [i10]Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera:
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects. CoRR abs/2010.04050 (2020) - [i9]Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera:
Scaling Guarantees for Nearest Counterfactual Explanations. CoRR abs/2010.04965 (2020) - [i8]Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf:
On the Fairness of Causal Algorithmic Recourse. CoRR abs/2010.06529 (2020) - [i7]Amir-Hossein Karimi, Tryphon T. Georgiou:
Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric. CoRR abs/2011.00759 (2020)
2010 – 2019
- 2019
- [i6]Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera:
Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR abs/1905.11190 (2019) - 2018
- [c4]Rick Wang, Amir-Hossein Karimi, Ali Ghodsi:
Distance Correlation Autoencoder. IJCNN 2018: 1-8 - [i5]Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR abs/1811.03166 (2018) - [i4]Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi:
Deep Variational Sufficient Dimensionality Reduction. CoRR abs/1812.07641 (2018) - 2017
- [c3]Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong:
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR 2017: 45-53 - [i3]Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong:
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR abs/1707.00081 (2017) - [i2]Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
JADE: Joint Autoencoders for Dis-Entanglement. CoRR abs/1711.09163 (2017) - 2016
- [j1]Roya Sabbagh Novin, Amir-Hossein Karimi, Mojtaba Yazdani, Mehdi Tale Masouleh:
Optimal motion planning for parallel robots via convex optimization and receding horizon. Adv. Robotics 30(17-18): 1145-1163 (2016) - [c2]Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston:
Key-Value Memory Networks for Directly Reading Documents. EMNLP 2016: 1400-1409 - [c1]Amir-Hossein Karimi, Mohammad Javad Shafiee, Christian Scharfenberger, I. BenDaya, Shahid A. Haider, N. Talukdar, David A. Clausi, Alexander Wong:
Spatio-temporal saliency detection using abstracted fully-connected graphical models. ICIP 2016: 694-698 - [i1]Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston:
Key-Value Memory Networks for Directly Reading Documents. CoRR abs/1606.03126 (2016)
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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