PreprintLicence not statedChemRxiv
Integrating classical similarity and multitask neural representations
- 1Independent Investigator · Preprint · November
Related
- Blood–Brain Barrier Permeability Prediction by Integrating Deep Learning Representations with Chemical Compound Knowledge
- Integrated classical/quantum–classical neural networks, DFT, and experiments for predicting bandgap and color of CrxSbxTi1−2xO2 yellow-orange pigments
- Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs
- Multivariate conformal uncertainty propagation in multitask atomistic simulation: Successes and pitfalls
- Drug Molecular and Route Similarity-Aware Retrieval-Augmented LLM Generation with Knowledge Graph for Semantic Reasoning
BibTeX
@misc{melian2026integrating,
title = {{Integrating classical similarity and multitask neural representations}},
author = {Juan Jesus Padrón Melián},
howpublished = {ChemRxiv},
year = {2026},
month = nov,
doi = {10.26434/chemrxiv.15011713/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011713/v1},
}
RIS
TY - UNPB
TI - Integrating classical similarity and multitask neural representations
AU - Juan Jesus Padrón Melián
PY - 2026
DA - 2026/11/05
PB - ChemRxiv
DO - 10.26434/chemrxiv.15011713/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011713/v1
ER -