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Arash Mehrjou
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FED-CD: Federated Causal Discovery from Interventional and Observational Data


Nov 07, 2022
Amin Abyaneh, Nino Scherrer, Patrick Schwab, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou

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CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data


Oct 31, 2022
Mathieu Chevalley, Yusuf Roohani, Arash Mehrjou, Jure Leskovec, Patrick Schwab

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From Points to Functions: Infinite-dimensional Representations in Diffusion Models


Oct 25, 2022
Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou

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Diffusion Models for Video Prediction and Infilling


Jun 15, 2022
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi

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Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database


Apr 20, 2022
Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer

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Physical Derivatives: Computing policy gradients by physical forward-propagation


Jan 15, 2022
Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf

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GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL


Oct 29, 2021
Sumedh A Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf

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GeneDisco: A Benchmark for Experimental Design in Drug Discovery


Oct 22, 2021
Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

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Federated Learning as a Mean-Field Game


Jul 08, 2021
Arash Mehrjou

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Representation Learning in Continuous-Time Score-Based Generative Models


May 29, 2021
Korbinian Abstreiter, Stefan Bauer, Arash Mehrjou

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