Cesar de la Fuente-Nunez

According to our database, Cesar de la Fuente-Nunez authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design.

Haydn Thomas Jones, Natalie Maus, Josh Magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary G. Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R. Gardner, Mark Yatskar

CoRR, August, 2025

Predicting and generating antibiotics against future pathogens with ApexOracle.

Tianang Leng, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez

CoRR, July, 2025

Large Scale Multi-Task Bayesian Optimization with Large Language Models.

Yimeng Zeng, Natalie Maus, Haydn Thomas Jones, Jeffrey Tao, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Ryan Marcus, Osbert Bastani, Jacob R. Gardner

CoRR, March, 2025

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization.

Natalie Maus, Kyurae Kim, Yimeng Zeng, Haydn Thomas Jones, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Jacob R. Gardner

CoRR, January, 2025

2024

From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance - a Comprehensive Review.

José M. Pérez de la Lastra, Samuel J. T. Wardell, Tarun Pal, Cesar de la Fuente-Nunez, Daniel Pletzer

J. Medical Syst., December, 2024

AI in biomaterials discovery: generating self-assembling peptides with resource-efficient deep learning.

Tianang Leng, Cesar de la Fuente-Nunez

Nat. Mac. Intell., 2024

Editorial: Machine learning approaches to antimicrobials: discovery and resistance.

Shira L. Broschat, Shirley W. I. Siu, Cesar de la Fuente-Nunez

Frontiers Bioinform., 2024

2023

Geometric deep learning as a potential tool for antimicrobial peptide prediction.

Fabiano C. Fernandes, Marlon H. Cardoso, Abel Gil-Ley, Lívia V. Luchi, Maria G. L. da Silva, Maria L. R. Macedo, Cesar de la Fuente-Nunez, Octávio L. Franco

Frontiers Bioinform., May, 2023