Arash Mehrjou - RankMe

55 papers A* 8A 2Journal 39Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. ICLR Mathieu Chevalley, Patrick Schwab, Arash Mehrjou
2025	J	`jnl`	In silico biological discovery with large perturbation models. Nat. Comput. Sci. Djordje Miladinovic, Tobias Höppe, Mathieu Chevalley, Andreas Georgiou, Lachlan Stuart, Arash Mehrjou, Marcus Bantscheff, Bernhard Schölkopf, Patrick Schwab
2025	J	`jnl`	In-silico biological discovery with large perturbation models. CoRR Djordje Miladinovic, Tobias Höppe, Mathieu Chevalley, Andreas Georgiou, Lachlan Stuart, Arash Mehrjou, Marcus Bantscheff, Bernhard Schölkopf, Patrick Schwab
2025	J	`jnl`	Multi-megabase scale genome interpretation with genetic language models. CoRR Frederik Träuble, Lachlan Stuart, Andreas Georgiou, Pascal Notin, Arash Mehrjou, Ron Schwessinger, Mathieu Chevalley, Kim Branson, Bernhard Schölkopf, Cornelia van Duijn, Debora S. Marks, Patrick Schwab
2025	—	`conf`	The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CLeaR Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. 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
2025	J	`jnl`	Theoretical Guarantees for Causal Discovery on Large Random Graphs. CoRR Mathieu Chevalley, Arash Mehrjou, Patrick Schwab
2024	J	`jnl`	Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm. CoRR Mathieu Chevalley, Patrick Schwab, Arash Mehrjou
2024	J	`jnl`	Efficient Differentiable Discovery of Causal Order. CoRR Mathieu Chevalley, Arash Mehrjou, Patrick Schwab
2023	A*	`conf`	Diffusion Based Representation Learning. ICML Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
2023	J	`jnl`	DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	A*	`conf`	DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	J	`jnl`	Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR 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
2023	J	`jnl`	Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases. PLoS Comput. Biol. Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer
2023	J	`jnl`	The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. 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
2022	J	`jnl`	CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data. CoRR Mathieu Chevalley, Yusuf H. Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab
2022	J	`jnl`	Diffusion Models for Video Prediction and Infilling. CoRR Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
2022	J	`jnl`	Diffusion Models for Video Prediction and Infilling. Trans. Mach. Learn. Res. Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi
2022	J	`jnl`	FED-CD: Federated Causal Discovery from Interventional and Observational Data. CoRR Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou
2022	J	`jnl`	Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database. CoRR Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer
2022	J	`jnl`	From Points to Functions: Infinite-dimensional Representations in Diffusion Models. CoRR Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou
2022	A	`conf`	GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. AISTATS Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2022	A*	`conf`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2022	J	`jnl`	Physical Derivatives: Computing policy gradients by physical forward-propagation. CoRR Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf
2021	A*	`conf`	Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. ICML Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2021	—	`—`	Dynamics of Learning and Learning of Dynamics. Arash Mehrjou
2021	J	`jnl`	Federated Learning as a Mean-Field Game. CoRR Arash Mehrjou
2021	J	`jnl`	GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. CoRR Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2021	J	`jnl`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2021	—	`conf`	Neural Lyapunov Redesign. L4DC Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Schölkopf
2021	J	`jnl`	Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases. CoRR Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Bernhard Schölkopf, Stefan Bauer
2021	J	`jnl`	Representation Learning in Continuous-Time Score-Based Generative Models. CoRR Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou
2020	J	`jnl`	Artificial Buildings: Safety, Complexity and a Quantifiable Measure of Beauty. CoRR Arash Mehrjou
2020	J	`jnl`	Automatic Policy Synthesis to Improve the Safety of Nonlinear Dynamical Systems. CoRR Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Schölkopf
2020	J	`jnl`	Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. CoRR Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf
2020	A*	`conf`	Counterfactuals uncover the modular structure of deep generative models. ICLR Michel Besserve, Arash Mehrjou, Rémy Sun, Bernhard Schölkopf
2020	A*	`conf`	Dual Instrumental Variable Regression. NeurIPS Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj
2020	J	`jnl`	Learning Dynamical Systems using Local Stability Priors. CoRR Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf
2020	J	`jnl`	Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
2019	J	`jnl`	Dual IV: A Single Stage Instrumental Variable Regression. CoRR Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj
2019	J	`jnl`	The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA. CoRR Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf
2019	A	`conf`	The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA. UAI Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf
2019	J	`jnl`	Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces. CoRR Arash Mehrjou, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
2018	J	`jnl`	A Local Information Criterion for Dynamical Systems. CoRR Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe, Bernhard Schölkopf
2018	J	`jnl`	Analysis of Nonautonomous Adversarial Systems. CoRR Arash Mehrjou
2018	J	`jnl`	Deep Energy Estimator Networks. CoRR Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf, Aapo Hyvärinen
2018	J	`jnl`	Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems. CoRR Arash Mehrjou, Bernhard Schölkopf
2018	J	`jnl`	Distribution Aware Active Learning. CoRR Arash Mehrjou, Mehran Khodabandeh, Greg Mori
2018	—	`conf`	Efficient Encoding of Dynamical Systems Through Local Approximations. CDC Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe
2018	—	`conf`	Fidelity-Weighted Learning. ICLR (Poster) Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf
2018	J	`jnl`	Minimum Information Exchange in Distributed Systems. CoRR Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf, Sebastian Trimpe
2018	—	`conf`	Tempered Adversarial Networks. ICLR (Workshop) Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf
2018	A*	`conf`	Tempered Adversarial Networks. ICML Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf
2017	J	`jnl`	Annealed Generative Adversarial Networks. CoRR Arash Mehrjou, Bernhard Schölkopf, Saeed Saremi
2017	J	`jnl`	Fidelity-Weighted Learning. CoRR Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf
2016	J	`jnl`	Improved Bayesian information criterion for mixture model selection. Pattern Recognit. Lett. Arash Mehrjou, Reshad Hosseini, Babak Nadjar Araabi