Amir-Hossein Karimi

According to our database, Amir-Hossein Karimi authored at least 33 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prospector Heads: Generalized Feature Attribution for Large Models & Data.

Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces.

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness.

Amir-Hossein Karimi

PhD thesis, 2023

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations.

Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera

ACM Comput. Surv., 2023

A Persian Benchmark for Joint Intent Detection and Slot Filling.

Masoud Akbari, Amir-Hossein Karimi, Tayyebeh Saeedi, Zeinab Saeidi, Kiana Ghezelbash, Fatemeh Shamsezat, Mohammad Akbari, Ali Mohades

CoRR, 2023

Socially Responsible Machine Learning: A Causal Perspective.

Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On the Relationship Between Explanation and Prediction: A Causal View.

Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim

Proceedings of the International Conference on Machine Learning, 2023

On Data Manifolds Entailed by Structural Causal Models.

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf

Proceedings of the International Conference on Machine Learning, 2023

HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems.

Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle, Günther Specht

Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), 2023

Robustness Implies Fairness in Causal Algorithmic Recourse.

Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Feasibility of 18-MV grid therapy from radiation protection aspects: unwanted dose and fatal cancer risk caused by photoneutrons and scattered photons.

Amir-Hossein Karimi, Seyed Farshad Mirian, Farshid Mahmoudi, Ghazale Geraily, Héctor René Vega-Carrillo, Majid Mohiuddin

Comput. Methods Programs Biomed., 2022

Prospects and challenges of cancer systems medicine: from genes to disease networks.

Mohammad Reza Karimi, Amir-Hossein Karimi, Shamsozoha Abolmaali, Mehdi Sadeghi, Ulf Schmitz

Briefings Bioinform., 2022

On the Adversarial Robustness of Causal Algorithmic Recourse.

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf

Proceedings of the International Conference on Machine Learning, 2022

On the Fairness of Causal Algorithmic Recourse.

Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Statistical Learning in Wasserstein Space.

Amir-Hossein Karimi, Luigia Ripani, Tryphon T. Georgiou

IEEE Control. Syst. Lett., 2021

Regression analysis of distributional data through Multi-Marginal Optimal transport.

Amir-Hossein Karimi, Tryphon T. Georgiou

CoRR, 2021

Algorithmic Recourse: from Counterfactual Explanations to Interventions.

Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Challenge of Small Data: Dynamic Mode Decomposition, Redux.

Amir-Hossein Karimi, Tryphon T. Georgiou

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Scaling Guarantees for Nearest Counterfactual Explanations.

Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric.

Amir-Hossein Karimi, Tryphon T. Georgiou

CoRR, 2020

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.

Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera

CoRR, 2020

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach.

Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Causal Algorithmic Recourse.

Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera

Proceedings of the xxAI - Beyond Explainable AI, 2020

Model-Agnostic Counterfactual Explanations for Consequential Decisions.

Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Deep Variational Sufficient Dimensionality Reduction.

Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi

CoRR, 2018

SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections.

Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi

CoRR, 2018

Distance Correlation Autoencoder.

Rick Wang, Amir-Hossein Karimi, Ali Ghodsi

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

JADE: Joint Autoencoders for Dis-Entanglement.

Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi

CoRR, 2017

Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions.

Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong

CoRR, 2017

Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.

Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016

Optimal motion planning for parallel robots via convex optimization and receding horizon.

Roya Sabbagh Novin, Amir-Hossein Karimi, Mojtaba Yazdani, Mehdi Tale Masouleh

Adv. Robotics, 2016

Spatio-temporal saliency detection using abstracted fully-connected graphical models.

Amir-Hossein Karimi, Mohammad Javad Shafiee, Christian Scharfenberger, I. BenDaya, Shahid A. Haider, N. Talukdar, David A. Clausi, Alexander Wong

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Key-Value Memory Networks for Directly Reading Documents.

Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016