Login / Signup
Paulo Neves
ORCID
Publication Activity (10 Years)
Years Active: 2021-2024
Publications (10 Years): 5
Top Topics
Hopfield Networks
High Dimensionality
Noisy Data
Machine Learning Models
Top Venues
CoRR
J. Cheminformatics
J. Chem. Inf. Model.
</>
Publications
</>
Paulo Neves
,
Jörg K. Wegner
,
Philippe Schwaller
Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes.
CoRR
(2024)
Paulo Neves
,
Kelly McClure
,
Jonas Verhoeven
,
Natalia Dyubankova
,
Ramil I. Nugmanov
,
Andrey Gedich
,
Sairam Menon
,
Zhicai Shi
,
Jörg K. Wegner
Global reactivity models are impactful in industrial synthesis applications.
J. Cheminformatics
15 (1) (2023)
Paulo Neves
,
Kelly McClure
,
Jonas Verhoeven
,
Natalia Dyubankova
,
Ramil I. Nugmanov
,
Andrey Gedich
,
Sairam Menon
,
Zhicai Shi
,
Jörg K. Wegner
Correction: Global reactivity models are impactful in industrial synthesis applications.
J. Cheminformatics
15 (1) (2023)
Philipp Seidl
,
Philipp Renz
,
Natalia Dyubankova
,
Paulo Neves
,
Jonas Verhoeven
,
Jörg K. Wegner
,
Marwin H. S. Segler
,
Sepp Hochreiter
,
Günter Klambauer
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks.
J. Chem. Inf. Model.
62 (9) (2022)
Philipp Seidl
,
Philipp Renz
,
Natalia Dyubankova
,
Paulo Neves
,
Jonas Verhoeven
,
Jörg K. Wegner
,
Sepp Hochreiter
,
Günter Klambauer
Modern Hopfield Networks for Few- and Zero-Shot Reaction Prediction.
CoRR
(2021)