Carlos G. Oliver

According to our database, Carlos G. Oliver authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

3D-based RNA function prediction tools in rnaglib.

Carlos G. Oliver, Vincent Mallet, Jérôme Waldispühl

CoRR, 2024

Endowing Protein Language Models with Structural Knowledge.

Dexiong Chen, Philip Hartout, Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt

CoRR, 2024

2023

Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information.

Giovanni Visonà, Diane Duroux, Lucas Miranda, Emese Sükei, Yiran Li, Karsten M. Borgwardt, Carlos G. Oliver

Bioinform., December, 2023

ProteinShake: Building datasets and benchmarks for deep learning on protein structures.

Tim Kucera, Carlos G. Oliver, Dexiong Chen, Karsten M. Borgwardt

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unsupervised Manifold Alignment with Joint Multidimensional Scaling.

Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Approximate Network Motif Mining Via Graph Learning.

Carlos G. Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten M. Borgwardt

CoRR, 2022

Vernal: a tool for mining fuzzy network motifs in RNA.

Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl

Bioinform., 2022

RNAglib: a python package for RNA 2.5 D graphs.

Vincent Mallet, Carlos G. Oliver, Jonathan Broadbent, William L. Hamilton, Jérôme Waldispühl

Bioinform., 2022

2021

Edge-similarity-aware Graph Neural Networks.

Vincent Mallet, Carlos G. Oliver, William L. Hamilton

CoRR, 2021

2020

Difficulty Scaling in Proof of Work for Decentralized Problem Solving.

Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver

Ledger, 2020

OptiMol: Optimization of Binding Affinities in Chemical Space for Drug Discovery.

Jacques Boitreaud, Vincent Mallet, Carlos G. Oliver, Jérôme Waldispühl

J. Chem. Inf. Model., 2020

Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification.

Roman Sarrazin-Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos G. Oliver, Yann Ponty, Jérôme Waldispühl

Proceedings of the Research in Computational Molecular Biology, 2020

2019

Leveraging binding-site structure for drug discovery with point-cloud methods.

Vincent Mallet, Carlos G. Oliver, Nicolas Moitessier, Jérôme Waldispühl

CoRR, 2019

2017

Proposal for a fully decentralized blockchain and proof-of-work algorithm for solving NP-complete problems.

Carlos G. Oliver, Alessandro Ricottone, Pericles Philippopoulos

CoRR, 2017