Amir-Hossein Karimi

50 papers A* 9A 1B 2C 1Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions. CoRR Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao
2026	J	`jnl`	Position: Explainable AI is Causality in Disguise. CoRR Amir-Hossein Karimi
2025	J	`jnl`	Bridging Brain with Foundation Models through Self-Supervised Learning. CoRR Hamdi Altaheri, Fakhri Karray, Md. Milon Islam, S. M. Taslim Uddin Raju, Amir-Hossein Karimi
2025	J	`jnl`	From Individual to Multi-Agent Algorithmic Recourse: Minimizing the Welfare Gap via Capacitated Bipartite Matching. CoRR Zahra Khotanlou, Kate Larson, Amir-Hossein Karimi
2024	A*	`conf`	Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. AAAI Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
2024	J	`jnl`	Imagining and building wise machines: The centrality of AI metacognition. CoRR Samuel G. B. Johnson, Amir-Hossein Karimi, Yoshua Bengio, Nick Chater, Tobias Gerstenberg, Kate Larson, Sydney Levine, Melanie Mitchell, Iyad Rahwan, Bernhard Schölkopf, Igor Grossmann
2024	A*	`conf`	Prospector Heads: Generalized Feature Attribution for Large Models & Data. ICML Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2024	J	`jnl`	Prospector Heads: Generalized Feature Attribution for Large Models & Data. CoRR Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2023	J	`jnl`	A Persian Benchmark for Joint Intent Detection and Slot Filling. CoRR Masoud Akbari, Amir-Hossein Karimi, Tayyebeh Saeedi, Zeinab Saeidi, Kiana Ghezelbash, Fatemeh Shamsezat, Mohammad Akbari, Ali Mohades
2023	J	`jnl`	A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Comput. Surv. Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
2023	—	`—`	Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness. Amir-Hossein Karimi
2023	J	`jnl`	Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. CoRR Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
2023	—	`conf`	HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems. GvDB Amir Reza Mohammadi, Amir-Hossein Karimi, Mahdi Bohlouli, Eva Zangerle, Günther Specht
2023	A*	`conf`	On Data Manifolds Entailed by Structural Causal Models. ICML Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf
2023	A*	`conf`	On the Relationship Between Explanation and Prediction: A Causal View. ICML Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
2023	—	`conf`	Robustness Implies Fairness in Causal Algorithmic Recourse. FAccT Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi
2023	J	`jnl`	Robustness Implies Fairness in Causal Algorithmic Recourse. CoRR Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi
2023	A*	`conf`	Socially Responsible Machine Learning: A Causal Perspective. KDD Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
2022	J	`jnl`	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. Amir-Hossein Karimi, Seyed Farshad Mirian, Farshid Mahmoudi, Ghazale Geraily, Héctor René Vega-Carrillo, Majid Mohiuddin
2022	A*	`conf`	On the Adversarial Robustness of Causal Algorithmic Recourse. ICML Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf
2022	A*	`conf`	On the Fairness of Causal Algorithmic Recourse. AAAI Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
2022	J	`jnl`	On the Relationship Between Explanation and Prediction: A Causal View. CoRR Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
2022	J	`jnl`	Prospects and challenges of cancer systems medicine: from genes to disease networks. Briefings Bioinform. Mohammad Reza Karimi, Amir-Hossein Karimi, Shamsozoha Abolmaali, Mehdi Sadeghi, Ulf Schmitz
2021	—	`conf`	Algorithmic Recourse: from Counterfactual Explanations to Interventions. FAccT Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
2021	J	`jnl`	On the Adversarial Robustness of Causal Algorithmic Recourse. CoRR Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf
2021	J	`jnl`	Regression analysis of distributional data through Multi-Marginal Optimal transport. CoRR Amir-Hossein Karimi, Tryphon T. Georgiou
2021	C	`conf`	Scaling Guarantees for Nearest Counterfactual Explanations. AIES Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
2021	J	`jnl`	Statistical Learning in Wasserstein Space. IEEE Control. Syst. Lett. Amir-Hossein Karimi, Luigia Ripani, Tryphon T. Georgiou
2021	—	`conf`	The Challenge of Small Data: Dynamic Mode Decomposition, Redux. CDC Amir-Hossein Karimi, Tryphon T. Georgiou
2021	J	`jnl`	The Challenge of Small Data: Dynamic Mode Decomposition, Redux. CoRR Amir-Hossein Karimi, Tryphon T. Georgiou
2020	J	`jnl`	A survey of algorithmic recourse: definitions, formulations, solutions, and prospects. CoRR Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
2020	J	`jnl`	Algorithmic Recourse: from Counterfactual Explanations to Interventions. CoRR Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
2020	A*	`conf`	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. NeurIPS Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
2020	J	`jnl`	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. CoRR Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
2020	J	`jnl`	Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric. CoRR Amir-Hossein Karimi, Tryphon T. Georgiou
2020	A	`conf`	Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
2020	J	`jnl`	On the Fairness of Causal Algorithmic Recourse. CoRR Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
2020	J	`jnl`	Scaling Guarantees for Nearest Counterfactual Explanations. CoRR Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
2020	—	`conf`	Towards Causal Algorithmic Recourse. xxAI@ICML Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
2019	J	`jnl`	Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
2018	J	`jnl`	Deep Variational Sufficient Dimensionality Reduction. CoRR Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi
2018	B	`conf`	Distance Correlation Autoencoder. IJCNN Rick Wang, Amir-Hossein Karimi, Ali Ghodsi
2018	J	`jnl`	SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
2017	—	`conf`	Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
2017	J	`jnl`	JADE: Joint Autoencoders for Dis-Entanglement. CoRR Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
2017	J	`jnl`	Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong
2016	A*	`conf`	Key-Value Memory Networks for Directly Reading Documents. EMNLP Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
2016	J	`jnl`	Key-Value Memory Networks for Directly Reading Documents. CoRR Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
2016	J	`jnl`	Optimal motion planning for parallel robots via convex optimization and receding horizon. Adv. Robotics Roya Sabbagh Novin, Amir-Hossein Karimi, Mojtaba Yazdani, Mehdi Tale Masouleh
2016	B	`conf`	Spatio-temporal saliency detection using abstracted fully-connected graphical models. ICIP Amir-Hossein Karimi, Mohammad Javad Shafiee, Christian Scharfenberger, I. BenDaya, Shahid A. Haider, N. Talukdar, David A. Clausi, Alexander Wong