Alessandro Tibo

26 papers A* 2A 1B 1Misc 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A decoupled alignment kernel for peptide membrane permeability predictions.
CoRR
Ali Amirahmadi, Gökçe Geylan, Leonardo De Maria, Farzaneh Etminani, Mattias Ohlsson, Alessandro Tibo
2025 J jnl
FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation.
CoRR
Julian Cremer, Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson, Djork-Arné Clevert
2025 J jnl
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble.
CoRR
Riccardo Tedoldi, Ola Engkvist, Patrick Bryant, Hossein Azizpour, Jon Paul Janet, Alessandro Tibo
2025 A conf
SemlaFlow - Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching.
AISTATS
Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson
2025 J jnl
WEISS: Wasserstein efficient sampling strategy for LLMs in drug design.
Mach. Learn. Sci. Technol.
Riccardo Tedoldi, Junyong Li, Ola Engkvist, Andrea Passerini, Annie M. Westerlund, Alessandro Tibo
2024 J jnl
Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites.
J. Chem. Inf. Model.
Gustav Olanders, Giulia Testa, Alessandro Tibo, Eva Nittinger, Christian Tyrchan
2024 J jnl
Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis.
J. Chem. Inf. Model.
Annie M. Westerlund, Siva Manohar Koki, Supriya Kancharla, Alessandro Tibo, Lakshidaa Saigiridharan, Mikhail Kabeshov, Rocío Mercado, Samuel Genheden
2024 J jnl
Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport.
CoRR
Ross Irwin, Alessandro Tibo, Jon Paul Janet, Simon Olsson
2024 J jnl
Evaluation of reinforcement learning in transformer-based molecular design.
J. Cheminformatics
Jiazhen He, Alessandro Tibo, Jon Paul Janet, Eva Nittinger, Christian Tyrchan, Werngard Czechtizky, Ola Engkvist
2024 J jnl
PepINVENT: Generative peptide design beyond the natural amino acids.
CoRR
Gökçe Geylan, Jon Paul Janet, Alessandro Tibo, Jiazhen He, Atanas Patronov, Mikhail Kabeshov, Florian David, Werngard Czechtizky, Ola Engkvist, Leonardo De Maria
2024 J jnl
Reinvent 4: Modern AI-driven generative molecule design.
J. Cheminformatics
Hannes H. Loeffler, Jiazhen He, Alessandro Tibo, Jon Paul Janet, Alexey Voronov, Lewis H. Mervin, Ola Engkvist
2023 A* conf
Metagenomic Binning using Connectivity-constrained Variational Autoencoders.
ICML
Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen
2022 — conf
EXOGEM: Extending OpenAPI Generator for Monitoring of RESTful APIs.
ICSOC Workshops
Daniel Friis Holtebo, Jannik Lucas Sommer, Magnus Mølgaard Lund, Alessandro Tibo, Junior Dongo, Michele Albano
2022 J jnl
Graph Neural Networks for Microbial Genome Recovery.
CoRR
Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen
2022 J jnl
Inducing Gaussian Process Networks.
CoRR
Alessandro Tibo, Thomas Dyhre Nielsen
2021 A* conf
Learning Aggregation Functions.
IJCAI
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2020 J jnl
A general framework for defining and optimizing robustness.
CoRR
Alessandro Tibo, Manfred Jaeger, Kim G. Larsen
2020 B conf
From Statistical Model Checking to Run-Time Monitoring Using a Bayesian Network Approach.
RV
Manfred Jaeger, Kim G. Larsen, Alessandro Tibo
2020 J jnl
Learning Aggregation Functions.
CoRR
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2020 J jnl
Learning and Interpreting Multi-Multi-Instance Learning Networks.
J. Mach. Learn. Res.
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
2018 Misc conf
Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition.
ICASSP
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
2018 J jnl
Extended pipeline for content-based feature engineering in music genre recognition.
CoRR
Tina Raissi, Alessandro Tibo, Paolo Bientinesi
2018 J jnl
Learning and Interpreting Multi-Multi-Instance Learning Networks.
CoRR
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
2018 J jnl
Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres.
CoRR
Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi
2017 — conf
A Network Architecture for Multi-Multi-Instance Learning.
ECML/PKDD (1)
Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
2014 J jnl
Maintenance and emergency management with an integrated indoor/outdoor navigation support.
J. Vis. Lang. Comput.
Pierfrancesco Bellini, Paolo Nesi, Matteo Simoncini, Alessandro Tibo