Arash Mehrjou
Arash Mehrjou
ETH Zürich - Max Planck Institute
Verified email at - Homepage
Cited by
Cited by
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
Dual instrumental variable regression
K Muandet, A Mehrjou, SK Lee, A Raj
Advances in Neural Information Processing Systems (NeurIPS) 33, 2710-2721, 2020
Fidelity-weighted learning
M Dehghani, A Mehrjou, S Gouws, J Kamps, B Schölkopf
International Conference on Learning Representations 2018 (ICLR), 2017
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
Diffusion models for video prediction and infilling
T Höppe, A Mehrjou, S Bauer, D Nielsen, A Dittadi
Transactions on Machine Learning Research (TMLR), 2022
Deep energy estimator networks
S Saremi*, A Mehrjou*, B Schölkopf, A Hyvärinen
arXiv preprint arXiv:1805.08306, 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
Improved Bayesian information criterion for mixture model selection
A Mehrjou, R Hosseini, BN Araabi
Pattern Recognition Letters 69, 22-27, 2016
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
Automatic malaria diagnosis system
A Mehrjou, T Abbasian, M Izadi
2013 First RSI/ISM International Conference on Robotics and Mechatronics …, 2013
Tempered adversarial networks
MSM Sajjadi, G Parascandolo, A Mehrjou, B Schölkopf
International Conference on Machine Learning 2018 (ICML), 2018
Diffusion-Based Representation Learning
K Abstreiter, S Mittal, S Bauer, B Schölkopf, A Mehrjou
International Conference on Machine Learning 2023 (ICML), 2021
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
A Mehrjou, A Soleymani, A Jesson, P Notin, Y Gal, S Bauer, P Schwab
International Conference on Learning Representations 2022 (ICLR), 2021
Nonstationary GANs: Analysis as Nonautonomous Dynamical Systems
A Mehrjou, B Schölkopf
ICML Workshop on Theoretical Foundations and Applications of Deep Generative …, 2018
Neural Lyapunov Redesign
A Mehrjou, M Ghavamzadeh, B Schölkopf
Learning for Dynamics and Control 2021 (L4DC), 2021
Causalbench: A large-scale benchmark for network inference from single-cell perturbation data
M Chevalley, Y Roohani, A Mehrjou, J Leskovec, P Schwab
arXiv preprint arXiv:2210.17283, 2022
From points to functions: Infinite-dimensional representations in diffusion models
S Mittal, G Lajoie, S Bauer, A Mehrjou
arXiv preprint arXiv:2210.13774, 2022
Minimum information exchange in distributed systems
F Solowjow*, A Mehrjou*, B Schölkopf, S Trimpe
57th IEEE Conference on Decision and Control (CDC), 2018
Learning dynamical systems using local stability priors
A Mehrjou, A Iannelli, B Schölkopf
Journal of Computational Dynamics 10 (1), 175-198, 2023
Deep lyapunov function: Automatic stability analysis for dynamical systems
A Mehrjou, B Schölkopf
arXiv preprint arXiv:1901.08403, 2019
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