Arash Mehrjou

Guy's and St Thomas' NHS Foundation Trust — United Kingdom

Physics and Astronomy · Physical Sciences

9h-index475citations67works7.62yr avg
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Research Topics

Model Reduction and Neural Networks(13), Generative Adversarial Networks and Image Synthesis(12), Reinforcement Learning in Robotics(7), Gaussian Processes and Bayesian Inference(7), Neural Networks and Applications(6)

Publications67 total

In silico biological discovery with large perturbation models
Nature Computational Science·2025· 2 citedOpen Access
Mapping and reprogramming human tissue microenvironments with MintFlow
2025· 1 citedOpen Access
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World
Chemical Research in Toxicology·2025· 50 citedOpen Access
In-silico biological discovery with large perturbation models
arXiv (Cornell University)·2025Open Access
A large-scale benchmark for network inference from single-cell perturbation data
Communications Biology·2025· 7 citedOpen Access
Multi-megabase scale genome interpretation with genetic language models
ArXiv.org·2025· 1 citedOpen Access
Efficient Differentiable Discovery of Causal Order
arXiv (Cornell University)·2024Open Access
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
arXiv (Cornell University)·2024Open Access
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design
arXiv (Cornell University)·2023· 3 citedOpen Access
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
arXiv (Cornell University)·2023· 4 citedOpen Access
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning
arXiv (Cornell University)·2023· 1 citedOpen Access
Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases
PLoS Computational Biology·2023· 4 citedOpen Access
Federated Causal Discovery From Interventions
arXiv (Cornell University)·2022· 1 citedOpen Access
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data
arXiv (Cornell University)·2022· 7 citedOpen Access
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
arXiv (Cornell University)·2022· 3 citedOpen Access
Learning dynamical systems using local stability priors
Journal of Computational Dynamics·2022· 3 citedOpen Access
Diffusion Models for Video Prediction and Infilling
arXiv (Cornell University)·2022· 50 citedOpen Access
Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database
arXiv (Cornell University)·2022· 3 citedOpen Access
Physical Derivatives: Computing policy gradients by physical forward-propagation
arXiv (Cornell University)·2022Open Access
GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Bernhard Schölkopf(26), Patrick Schwab(14), Sebastian Bauer(8), Mathieu Chevalley(6), Ashkan Soleymani(5), Stefan Bauer(4), Pascal Notin(4), Krikamol Muandet(3), Yusuf Roohani(3), Friedrich Solowjow(3), Sebastian Trimpe(3), Amin Abyaneh(3), Jürgen Hetzel(2), Tobias Höppe(2), Reshad Hosseini(2), Babak Nadjar Araabi(2), Saeed Saremi(2), Si Kai Lee(2), Anant Raj(2), Andrew Jesson(2)