Amir-Hossein Karimi

Orcid: 0000-0001-5891-7987

According to our database1, Amir-Hossein Karimi authored at least 33 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Prospector Heads: Generalized Feature Attribution for Large Models & Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness.
PhD thesis, 2023

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations.
ACM Comput. Surv., 2023

A Persian Benchmark for Joint Intent Detection and Slot Filling.
CoRR, 2023

Socially Responsible Machine Learning: A Causal Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

On the Relationship Between Explanation and Prediction: A Causal View.
Proceedings of the International Conference on Machine Learning, 2023

On Data Manifolds Entailed by Structural Causal Models.
Proceedings of the International Conference on Machine Learning, 2023

HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems.
Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), 2023

Robustness Implies Fairness in Causal Algorithmic Recourse.
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.
Comput. Methods Programs Biomed., 2022

Prospects and challenges of cancer systems medicine: from genes to disease networks.
Briefings Bioinform., 2022

On the Adversarial Robustness of Causal Algorithmic Recourse.
Proceedings of the International Conference on Machine Learning, 2022

On the Fairness of Causal Algorithmic Recourse.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Statistical Learning in Wasserstein Space.
IEEE Control. Syst. Lett., 2021

Regression analysis of distributional data through Multi-Marginal Optimal transport.
CoRR, 2021

Algorithmic Recourse: from Counterfactual Explanations to Interventions.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

The Challenge of Small Data: Dynamic Mode Decomposition, Redux.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Scaling Guarantees for Nearest Counterfactual Explanations.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric.
CoRR, 2020

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.
CoRR, 2020

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Causal Algorithmic Recourse.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Model-Agnostic Counterfactual Explanations for Consequential Decisions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018
Deep Variational Sufficient Dimensionality Reduction.
CoRR, 2018

SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections.
CoRR, 2018

Distance Correlation Autoencoder.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
JADE: Joint Autoencoders for Dis-Entanglement.
CoRR, 2017

Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions.
CoRR, 2017

Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016
Optimal motion planning for parallel robots via convex optimization and receding horizon.
Adv. Robotics, 2016

Spatio-temporal saliency detection using abstracted fully-connected graphical models.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Key-Value Memory Networks for Directly Reading Documents.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016


  Loading...