People
Amir-Hossein Karimi
Max Planck Institute for Intelligent Systems
E: amirhkarimi@gmail.com
T: @amirhkarimi_
About me
Amir-Hossein Karimi is a PhD student at the Max Planck ETH Center for Learning Systems, supervised by Prof. Dr. Schölkopf and Prof. Dr. Valera. His work focuses on the intersection of causal and explainable machine learning, primarily on the problem of algorithmic recourse, that is, how to help individuals subject to automated algorithmic systems overcome unfavorable predictions. Amir is supported through the generous support of NSERC, CLS, and Google PhD Fellowships.
Publications
Deep Variational Sufficient Dimensionality Reduction Journal Article
In: CoRR, vol. abs/1812.07641, 2018.
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification Proceedings Article
In: Karray, Fakhri; Campilho, Aurélio; Cheriet, Farida (Ed.): Image Analysis and Recognition - 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5-7, 2017, Proceedings, pp. 45–53, Springer, 2017.
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions Journal Article
In: CoRR, vol. abs/1707.00081, 2017.
JADE: Joint Autoencoders for Dis-Entanglement Journal Article
In: CoRR, vol. abs/1711.09163, 2017.
Optimal motion planning for parallel robots via convex optimization and receding horizon Journal Article
In: Adv. Robotics, vol. 30, no. 17-18, pp. 1145–1163, 2016.
Spatio-temporal saliency detection using abstracted fully-connected graphical models Proceedings Article
In: 2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016, pp. 694–698, IEEE, 2016.
Key-Value Memory Networks for Directly Reading Documents Journal Article
In: CoRR, vol. abs/1606.03126, 2016.