Amir-Hossein Karimi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Statistical Learning

Cancer Classification

Causal Knowledge

Top Venues

Publications

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 (2024)
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)
Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi
Robustness Implies Fairness in Causal Algorithmic Recourse. FAccT (2023)
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)
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 (2023)
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 (2023)
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Comput. Surv. 55 (5) (2023)
Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi
Robustness Implies Fairness in Causal Algorithmic Recourse. CoRR (2023)
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf
On Data Manifolds Entailed by Structural Causal Models. ICML (2023)
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
On the Relationship Between Explanation and Prediction: A Causal View. ICML (2023)
Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
Socially Responsible Machine Learning: A Causal Perspective. KDD (2023)
Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. AAAI (2022)
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 (2022)
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)
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf
On the Adversarial Robustness of Causal Algorithmic Recourse. ICML (2022)
Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim
On the Relationship Between Explanation and Prediction: A Causal View. CoRR (2022)
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
Algorithmic Recourse: from Counterfactual Explanations to Interventions. FAccT (2021)
Amir-Hossein Karimi, Tryphon T. Georgiou
The Challenge of Small Data: Dynamic Mode Decomposition, Redux. CDC (2021)
Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
Scaling Guarantees for Nearest Counterfactual Explanations. AIES (2021)
Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf
On the Adversarial Robustness of Causal Algorithmic Recourse. CoRR (2021)
Amir-Hossein Karimi, Tryphon T. Georgiou
Regression analysis of distributional data through Multi-Marginal Optimal transport. CoRR (2021)
Amir-Hossein Karimi, Tryphon T. Georgiou
The Challenge of Small Data: Dynamic Mode Decomposition, Redux. CoRR (2021)
Amir-Hossein Karimi, Luigia Ripani, Tryphon T. Georgiou
Statistical Learning in Wasserstein Space. IEEE Control. Syst. Lett. 5 (3) (2021)
Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. CoRR (2020)
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS (2020)
Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. NeurIPS (2020)
Amir-Hossein Karimi, Tryphon T. Georgiou
Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric. CoRR (2020)
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
Algorithmic Recourse: from Counterfactual Explanations to Interventions. CoRR (2020)
Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
Scaling Guarantees for Nearest Counterfactual Explanations. CoRR (2020)
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. CoRR (2020)
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
Towards Causal Algorithmic Recourse. xxAI@ICML (2020)
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects. CoRR (2020)
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR (2019)
Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR (2018)
Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi
Deep Variational Sufficient Dimensionality Reduction. CoRR (2018)
Rick Wang, Amir-Hossein Karimi, Ali Ghodsi
Distance Correlation Autoencoder. IJCNN (2018)
Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi
JADE: Joint Autoencoders for Dis-Entanglement. CoRR (2017)
Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR (2017)
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)
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)
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
Key-Value Memory Networks for Directly Reading Documents. CoRR (2016)
Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston
Key-Value Memory Networks for Directly Reading Documents. EMNLP (2016)
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) (2016)