Alessandro Tibo

According to our database, Alessandro Tibo authored at least 16 papers between 2014 and 2024.

Collaborative distances:

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

2024

Evaluation of reinforcement learning in transformer-based molecular design.

Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist

J. Cheminformatics, December, 2024

Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis.

Annie M. Westerlund, Siva Manohar Koki, Supriya Kancharla, Alessandro Tibo, Lakshidaa Saigiridharan, Mikhail Kabeshov, Rocío Mercado, Samuel Genheden

J. Chem. Inf. Model., 2024

PepINVENT: Generative peptide design beyond the natural amino acids.

Gökçe Geylan, Jon Paul Janet, Alessandro Tibo, Jiazhen He, Atanas Patronov, Mikhail Kabeshov, Florian David, Werngard Czechtizky, Ola Engkvist, Leonardo De Maria

CoRR, 2024

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

Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson

CoRR, 2024

2023

Metagenomic Binning using Connectivity-constrained Variational Autoencoders.

Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen

Proceedings of the International Conference on Machine Learning, 2023

2022

Graph Neural Networks for Microbial Genome Recovery.

Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen

CoRR, 2022

Inducing Gaussian Process Networks.

Alessandro Tibo, Thomas Dyhre Nielsen

CoRR, 2022

EXOGEM: Extending OpenAPI Generator for Monitoring of RESTful APIs.

Daniel Friis Holtebo, Jannik Lucas Sommer, Magnus Mølgaard Lund, Alessandro Tibo, Junior Dongo, Michele Albano

Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

2021

Learning Aggregation Functions.

Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Learning and Interpreting Multi-Multi-Instance Learning Networks.

Alessandro Tibo, Manfred Jaeger, Paolo Frasconi

J. Mach. Learn. Res., 2020

A general framework for defining and optimizing robustness.

Alessandro Tibo, Manfred Jaeger, Kim G. Larsen

CoRR, 2020

From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach.

Manfred Jaeger, Kim G. Larsen, Alessandro Tibo

Proceedings of the Runtime Verification - 20th International Conference, 2020

2018

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

Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi

CoRR, 2018

Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition.

Tina Raissi, Alessandro Tibo, Paolo Bientinesi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A Network Architecture for Multi-Multi-Instance Learning.

Alessandro Tibo, Paolo Frasconi, Manfred Jaeger

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2014

Maintenance and emergency management with an integrated indoor/outdoor navigation support.

Pierfrancesco Bellini, Paolo Nesi, Matteo Simoncini, Alessandro Tibo

J. Vis. Lang. Comput., 2014