Search Results for author: Seiji Takeda

Found 5 papers, 2 papers with code

Improving Molecular Properties Prediction Through Latent Space Fusion

1 code implementation20 Oct 2023 Eduardo Soares, Akihiro Kishimoto, Emilio Vital Brazil, Seiji Takeda, Hiroshi Kajino, Renato Cerqueira

Pre-trained Language Models have emerged as promising tools for predicting molecular properties, yet their development is in its early stages, necessitating further research to enhance their efficacy and address challenges such as generalization and sample efficiency.

Molecular Property Prediction Property Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.