Arash Mehrjou
Arash Mehrjou
ETH Zürich - Max Planck Institute
Verified email at - Homepage
Cited by
Cited by
Fidelity-weighted learning
M Dehghani, A Mehrjou, S Gouws, J Kamps, B Schölkopf
International Conference on Learning Representations 2018 (ICLR), 2017
Counterfactuals uncover the modular structure of deep generative models
M Besserve, A Mehrjou, R Sun, B Schölkopf
International Conference on Learning Representations 2020 (ICLR), 2018
Deep energy estimator networks
S Saremi*, A Mehrjou*, B Schölkopf, A Hyvärinen
arXiv preprint arXiv:1805.08306, 2018
Improved Bayesian information criterion for mixture model selection
A Mehrjou, R Hosseini, BN Araabi
Pattern Recognition Letters 69, 22-27, 2016
Automatic malaria diagnosis system
A Mehrjou, T Abbasian, M Izadi
2013 First RSI/ISM International Conference on Robotics and Mechatronics …, 2013
Dual instrumental variable regression
K Muandet, A Mehrjou, SK Lee, A Raj
Advances in Neural Information Processing Systems (NeurIPS) 33, 2020
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA
L Gresele*, PK Rubenstein*, A Mehrjou, F Locatello, B Schölkopf
Uncertainty in Artificial Intelligence 2019 (UAI), 2019
Tempered adversarial networks
MSM Sajjadi, G Parascandolo, A Mehrjou, B Schölkopf
International Conference on Machine Learning 2018 (ICML), 2018
Real-time prediction of COVID-19 related mortality using electronic health records
P Schwab, A Mehrjou, S Parbhoo, LA Celi, J Hetzel, M Hofer, B Schölkopf, ...
Nature Communications 12 (1), 1-16, 2021
Annealed generative adversarial networks
A Mehrjou, B Schölkopf, S Saremi
arXiv preprint arXiv:1705.07505, 2017
Minimum information exchange in distributed systems
F Solowjow*, A Mehrjou*, B Schölkopf, S Trimpe
57th IEEE Conference on Decision and Control (CDC), 2018
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
SA Sontakke, A Mehrjou, L Itti, B Schölkopf
International Conference on Machine Learning 2021 (ICML), 2020
Kernel-guided training of implicit generative models with stability guarantees
A Mehrjou, W Jitkrittum, K Muandet, B Schölkopf
arXiv preprint arXiv:1901.09206, 2019
Learning dynamical systems using local stability priors
A Mehrjou, A Iannelli, B Schölkopf
arXiv preprint arXiv:2008.10053, 2020
A local information criterion for dynamical systems
A Mehrjou, F Solowjow, S Trimpe, B Schölkopf
arXiv preprint arXiv:1805.10615, 2018
Distribution aware active learning
A Mehrjou, M Khodabandeh, G Mori
arXiv preprint arXiv:1805.08916, 2018
Analysis of nonautonomous adversarial systems
A Mehrjou
arXiv preprint arXiv:1803.05045, 2018
Mixture of ICAs model for natural images solved by manifold optimization method
A Mehrjou, R Hosseini, BN Araabi
2015 7th Conference on Information and Knowledge Technology (IKT), 1-6, 2015
Neural Lyapunov Redesign
A Mehrjou, M Ghavamzadeh, B Schölkopf
Learning for Dynamics and Control 2021 (L4DC), 2021
Deep lyapunov function: Automatic stability analysis for dynamical systems
A Mehrjou, B Schölkopf
arXiv preprint arXiv:1901.08403, 2019
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