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Arash Mehrjou
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2020 – today
- 2024
- [i31]Mathieu Chevalley, Patrick Schwab, Arash Mehrjou:
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. CoRR abs/2405.18314 (2024) - 2023
- [j3]Arash Mehrjou
, Ashkan Soleymani, Amin Abyaneh
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases. PLoS Comput. Biol. 19(1) (2023) - [c13]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML 2023: 23170-23189 - [c12]Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou:
Diffusion Based Representation Learning. ICML 2023: 24963-24982 - [i30]Rahil Mehrizi, Arash Mehrjou, Maryana Alegro, Yi Zhao, Benedetta Carbone, Carl Fishwick, Johanna Vappiani, Jing Bi, Siobhan Sanford, Hakan Keles, Marcus Bantscheff, Cuong Nguyen, Patrick Schwab:
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR abs/2306.09391 (2023) - [i29]Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - [i28]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR abs/2312.04064 (2023) - 2022
- [j2]Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi:
Diffusion Models for Video Prediction and Infilling. Trans. Mach. Learn. Res. 2022 (2022) - [c11]Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. AISTATS 2022: 7518-7530 - [c10]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR 2022 - [i27]Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf:
Physical Derivatives: Computing policy gradients by physical forward-propagation. CoRR abs/2201.05830 (2022) - [i26]Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer:
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR abs/2204.09328 (2022) - [i25]Tobias Höppe, Arash Mehrjou
Diffusion Models for Video Prediction and Infilling. CoRR abs/2206.07696 (2022) - [i24]Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou:
From Points to Functions: Infinite-dimensional Representations in Diffusion Models. CoRR abs/2210.13774 (2022) - [i23]Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab:
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR abs/2210.17283 (2022) - [i22]Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou:
FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR abs/2211.03846 (2022) - 2021
- [b1]Arash Mehrjou:
Dynamics of Learning and Learning of Dynamics. ETH Zurich, Zürich, Switzerland, 2021 - [c9]Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. ICML 2021: 9848-9858 - [c8]Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Schölkopf:
Neural Lyapunov Redesign. L4DC 2021: 459-470 - [i21]Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Bernhard Schölkopf, Stefan Bauer:
Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases. CoRR abs/2103.15561 (2021) - [i20]Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou:
Representation Learning in Continuous-Time Score-Based Generative Models. CoRR abs/2105.14257 (2021) - [i19]Arash Mehrjou:
Federated Learning as a Mean-Field Game. CoRR abs/2107.03770 (2021) - [i18]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR abs/2110.11875 (2021) - [i17]Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. CoRR abs/2110.15489 (2021) - 2020
- [c7]Michel Besserve, Arash Mehrjou, Rémy Sun, Bernhard Schölkopf:
Counterfactuals uncover the modular structure of deep generative models. ICLR 2020 - [c6]Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj:
Dual Instrumental Variable Regression. NeurIPS 2020 - [i16]Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Schölkopf:
Automatic Policy Synthesis to Improve the Safety of Nonlinear Dynamical Systems. CoRR abs/2006.03947 (2020) - [i15]Arash Mehrjou:
Artificial Buildings: Safety, Complexity and a Quantifiable Measure of Beauty. CoRR abs/2006.11113 (2020) - [i14]Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf:
Learning Dynamical Systems using Local Stability Priors. CoRR abs/2008.10053 (2020) - [i13]Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer:
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR abs/2008.13412 (2020) - [i12]Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf:
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. CoRR abs/2010.03110 (2020)
2010 – 2019
- 2019
- [c5]Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf:
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. UAI 2019: 217-227 - [i11]Arash Mehrjou, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces. CoRR abs/1901.09206 (2019) - [i10]Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf:
The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA. CoRR abs/1905.06642 (2019) - [i9]Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj:
Dual IV: A Single Stage Instrumental Variable Regression. CoRR abs/1910.12358 (2019) - 2018
- [c4]Friedrich Solowjow, Arash Mehrjou
Efficient Encoding of Dynamical Systems Through Local Approximations. CDC 2018: 6073-6079 - [c3]Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf:
Fidelity-Weighted Learning. ICLR (Poster) 2018 - [c2]Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf:
Tempered Adversarial Networks. ICLR (Workshop) 2018 - [c1]Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf:
Tempered Adversarial Networks. ICML 2018: 4448-4456 - [i8]Arash Mehrjou:
Analysis of Nonautonomous Adversarial Systems. CoRR abs/1803.05045 (2018) - [i7]Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf, Aapo Hyvärinen:
Deep Energy Estimator Networks. CoRR abs/1805.08306 (2018) - [i6]Arash Mehrjou, Mehran Khodabandeh, Greg Mori:
Distribution Aware Active Learning. CoRR abs/1805.08916 (2018) - [i5]Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe:
Minimum Information Exchange in Distributed Systems. CoRR abs/1805.09714 (2018) - [i4]Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe, Bernhard Schölkopf:
A Local Information Criterion for Dynamical Systems. CoRR abs/1805.10615 (2018) - [i3]Arash Mehrjou, Bernhard Schölkopf:
Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems. CoRR abs/1811.05933 (2018) - 2017
- [i2]Arash Mehrjou, Bernhard Schölkopf, Saeed Saremi:
Annealed Generative Adversarial Networks. CoRR abs/1705.07505 (2017) - [i1]Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf:
Fidelity-Weighted Learning. CoRR abs/1711.02799 (2017) - 2016
- [j1]Arash Mehrjou
Improved Bayesian information criterion for mixture model selection. Pattern Recognit. Lett. 69: 22-27 (2016)
Coauthor Index
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