Alessandro Tibo

Orcid: 0000-0002-9070-740X

According to our database1, Alessandro Tibo authored at least 20 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation.
CoRR, April, 2025

SemlaFlow - Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Reinvent 4: Modern AI-driven generative molecule design.
J. Cheminformatics, December, 2024

Evaluation of reinforcement learning in transformer-based molecular design.
J. Cheminformatics, December, 2024

Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis.
J. Chem. Inf. Model., 2024

Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites.
J. Chem. Inf. Model., 2024

PepINVENT: Generative peptide design beyond the natural amino acids.
CoRR, 2024

Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport.
CoRR, 2024

2023
Metagenomic Binning using Connectivity-constrained Variational Autoencoders.
Proceedings of the International Conference on Machine Learning, 2023

2022
Graph Neural Networks for Microbial Genome Recovery.
CoRR, 2022

Inducing Gaussian Process Networks.
CoRR, 2022

EXOGEM: Extending OpenAPI Generator for Monitoring of RESTful APIs.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

2021
Learning Aggregation Functions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Learning and Interpreting Multi-Multi-Instance Learning Networks.
J. Mach. Learn. Res., 2020

A general framework for defining and optimizing robustness.
CoRR, 2020

From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach.
Proceedings of the Runtime Verification - 20th International Conference, 2020

2018
Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres.
CoRR, 2018

Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
A Network Architecture for Multi-Multi-Instance Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2014
Maintenance and emergency management with an integrated indoor/outdoor navigation support.
J. Vis. Lang. Comput., 2014


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