Carlos G. Oliver

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Manifold Alignment

Stochastic Sampling

Top Venues

J. Chem. Inf. Model.

Publications

Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt
Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching. RECOMB (2024)
Dexiong Chen, Philip Hartout, Paolo Pellizzoni, Carlos G. Oliver, Karsten M. Borgwardt
Endowing Protein Language Models with Structural Knowledge. CoRR (2024)
Carlos G. Oliver, Vincent Mallet, Jérôme Waldispühl
3D-based RNA function prediction tools in rnaglib. CoRR (2024)
Giovanni Visonà, Diane Duroux, Lucas Miranda, Emese Sükei, Yiran Li, Karsten M. Borgwardt, Carlos G. Oliver
Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information. Bioinform. 39 (12) (2023)
Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
Unsupervised Manifold Alignment with Joint Multidimensional Scaling. ICLR (2023)
Tim Kucera, Carlos G. Oliver, Dexiong Chen, Karsten M. Borgwardt
ProteinShake: Building datasets and benchmarks for deep learning on protein structures. NeurIPS (2023)
Carlos G. Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten M. Borgwardt
Approximate Network Motif Mining Via Graph Learning. CoRR (2022)
Dexiong Chen, Bowen Fan, Carlos G. Oliver, Karsten M. Borgwardt
Unsupervised Manifold Alignment with Joint Multidimensional Scaling. CoRR (2022)
Vincent Mallet, Carlos G. Oliver, Jonathan Broadbent, William L. Hamilton, Jérôme Waldispühl
RNAglib: a python package for RNA 2.5 D graphs. Bioinform. 38 (5) (2022)
Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl
Vernal: a tool for mining fuzzy network motifs in RNA. Bioinform. 38 (4) (2022)
Vincent Mallet, Carlos G. Oliver, William L. Hamilton
Edge-similarity-aware Graph Neural Networks. CoRR (2021)
Roman Sarrazin-Gendron, Hua-Ting Yao, Vladimir Reinharz, Carlos G. Oliver, Yann Ponty, Jérôme Waldispühl
Stochastic Sampling of Structural Contexts Improves the Scalability and Accuracy of RNA 3D Module Identification. RECOMB (2020)
Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver
Difficulty Scaling in Proof of Work for Decentralized Problem Solving. Ledger 5 (2020)
Jacques Boitreaud, Vincent Mallet, Carlos G. Oliver, Jérôme Waldispühl
OptiMol: Optimization of Binding Affinities in Chemical Space for Drug Discovery. J. Chem. Inf. Model. 60 (12) (2020)
Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA. CoRR (2020)
Vincent Mallet, Carlos G. Oliver, Nicolas Moitessier, Jérôme Waldispühl
Leveraging binding-site structure for drug discovery with point-cloud methods. CoRR (2019)
Pericles Philippopoulos, Alessandro Ricottone, Carlos G. Oliver
Difficulty Scaling in Proof of Work for Decentralized Problem Solving. CoRR (2019)
Carlos G. Oliver, Alessandro Ricottone, Pericles Philippopoulos
Proposal for a fully decentralized blockchain and proof-of-work algorithm for solving NP-complete problems. CoRR (2017)