Mehrjou, Arash

19 publications

ICLR 2025 Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm Mathieu Chevalley, Patrick Schwab, Arash Mehrjou

ICLRW 2025 Efficient Differentiable Discovery of Causal Order Mathieu Chevalley, Arash Mehrjou, Patrick Schwab

CLeaR 2025 The CausalBench Challenge: A Machine Learning Contest for Gene Network Inference from Single-Cell Perturbation Data 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

ICML 2023 Diffusion Based Representation Learning Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou

ICML 2023 DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab

AISTATS 2022 GalilAI: Out-of-Task Distribution Detection Using Causal Active Experimentation for Safe Transfer RL Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf

TMLR 2022 Diffusion Models for Video Prediction and Infilling Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

NeurIPSW 2022 Diffusion Models for Video Prediction and Infilling Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

ICLRW 2022 From Points to Functions: Infinite-Dimensional Representations in Diffusion Models Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou

ICLR 2022 GeneDisco: A Benchmark for Experimental Design in Drug Discovery Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

ICML 2021 Causal Curiosity: RL Agents Discovering Self-Supervised Experiments for Causal Representation Learning Sumedh A Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf

L4DC 2021 Neural Lyapunov Redesign Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Schölkopf

ICMLW 2021 Representation Learning in Continuous-Time Score-Based Generative Models Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou

ICLR 2020 Counterfactuals Uncover the Modular Structure of Deep Generative Models Michel Besserve, Arash Mehrjou, Rémy Sun, Bernhard Schölkopf

NeurIPS 2020 Dual Instrumental Variable Regression Krikamol Muandet, Arash Mehrjou, Si Kai Lee, Anant Raj

ICLRW 2019 Learning from Samples of Variable Quality Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf

UAI 2019 The Incomplete Rosetta Stone Problem: Identifiability Results for Multi-View Nonlinear ICA Luigi Gresele, Paul K. Rubenstein, Arash Mehrjou, Francesco Locatello, Bernhard Schölkopf

ICLR 2018 Fidelity-Weighted Learning Mostafa Dehghani, Arash Mehrjou, Stephan Gouws, Jaap Kamps, Bernhard Schölkopf

ICML 2018 Tempered Adversarial Networks Mehdi S. M. Sajjadi, Giambattista Parascandolo, Arash Mehrjou, Bernhard Schölkopf