Saeed Moayedpour

According to our database, Saeed Moayedpour authored at least 3 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Distilling and exploiting quantitative insights from Large Language Models for enhanced Bayesian optimization of chemical reactions.

Roshan Patel, Saeed Moayedpour, Louis De Lescure, Lorenzo Kogler-Anele, Alan Cherney, Sven Jager, Yasser Jangjou

CoRR, April, 2025

2024

Many-Shot In-Context Learning for Molecular Inverse Design.

Saeed Moayedpour, Alejandro Corrochano-Navarro, Faryad Sahneh, Shahriar Noroozizadeh, Alexander Koetter, Jiri Vymetal, Lorenzo Kogler-Anele, Pablo Mas, Yasser Jangjou, Sizhen Li, Michael Bailey, Marc Bianciotto, Hans Matter, Christoph Grebner, Gerhard Hessler, Ziv Bar-Joseph, Sven Jager

CoRR, 2024

Representations of lipid nanoparticles using large language models for transfection efficiency prediction.

Saeed Moayedpour, Jonathan Broadbent, Saleh Riahi, Michael Bailey, Hoa V. Thu, Dimitar A. Dobchev, Akshay Balsubramani, Ricardo N. D. Santos, Lorenzo Kogler-Anele, Alejandro Corrochano-Navarro, Sizhen Li, Fernando U. Montoya, Vikram Agarwal, Ziv Bar-Joseph, Sven Jager

Bioinform., 2024