Gabriele Scalia

According to our database, Gabriele Scalia authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Feedback Efficient Online Fine-Tuning of Diffusion Models.

Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani

CoRR, 2024

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine

CoRR, 2024

2023

Conformalized Deep Splines for Optimal and Efficient Prediction Sets.

Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion.

Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion.

Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2023

GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion.

Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

Improving Graph Generation by Restricting Graph Bandwidth.

Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia

Proceedings of the International Conference on Machine Learning, 2023

2022

CIME: Context-aware geolocation of emergency-related posts.

Gabriele Scalia, Chiara Francalanci, Barbara Pernici

GeoInformatica, 2022

Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation.

Alex M. Tseng, Tommaso Biancalani, Max M. Shen, Gabriele Scalia

CoRR, 2022

A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning.

Austin Atsango, Nathaniel L. Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2022

Conditional Diffusion with Less Explicit Guidance via Model Predictive Control.

Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas

CoRR, 2022

Hybrid deep learning-based feature-augmented detection for molecular communication systems.

Fardad Vakilipoor, Davide Scazzoli, Francesca Ratti, Gabriele Scalia, Maurizio Magarini

Proceedings of the NANOCOM '22: The Ninth Annual ACM International Conference on Nanoscale Computing and Communication, Barcelona, Catalunya, Spain, October 5, 2022

2021

Machine learning-driven integration, knowledge extraction and uncertainty management for scientific data.

Gabriele Scalia

PhD thesis, 2021

Data Ecosystems for Scientific Experiments: Managing Combustion Experiments and Simulation Analyses in Chemical Engineering.

Edoardo Ramalli, Gabriele Scalia, Barbara Pernici, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli

Frontiers Big Data, 2021

Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter.

Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Gabriele Scalia, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, Barbara Pernici

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021

About the Quality of Data and Services in Natural Sciences.

Barbara Pernici, Francesca Ratti, Gabriele Scalia

Proceedings of the Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, 2021

2020

Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction.

Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.

J. Chem. Inf. Model., 2020

A Data-driven Approach to Optimize Bounds on the Capacity of the Molecular Channel.

Francesca Ratti, Gabriele Scalia, Barbara Pernici, Maurizio Magarini

Proceedings of the IEEE Global Communications Conference, 2020

2019

Spatio-temporal mining of keywords for social media cross-social crawling of emergency events.

Andrea Autelitano, Barbara Pernici, Gabriele Scalia

GeoInformatica, 2019

Towards a scientific data framework to support scientific model development.

Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli, Barbara Pernici

Data Sci., 2019

Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction.

Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.

CoRR, 2019

2018

Geolocating social media posts for emergency mapping.

Barbara Pernici, Chiara Francalanci, Gabriele Scalia, Marco Corsi, Domenico Grandoni, Mariano Alfonso Biscardi

CoRR, 2018

Storing Combustion Data Experiments: New Requirements Emerging from a First Prototype - Position Paper.

Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Tiziano Faravelli, Barbara Pernici

Proceedings of the Semantics, Analytics, Visualization, 2018

2017

E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time.

Clemens Havas, Bernd Resch, Chiara Francalanci, Barbara Pernici, Gabriele Scalia, Jose Luis Fernandez-Marquez, Tim Van Achte, Gunter Zeug, Maria Rosa (Rosy) Mondardini, Domenico Grandoni, Birgit Kirsch, Milan Kalas, Valerio Lorini, Stefan Rüping

Sensors, 2017

Exploratory Spatio-Temporal Queries in Evolving Information.

Chiara Francalanci, Barbara Pernici, Gabriele Scalia

Proceedings of the Mobility Analytics for Spatio-Temporal and Social Data, 2017

IMEXT: A method and system to extract geolocated images from Tweets - Analysis of a case study.

Chiara Francalanci, Paolo Guglielmino, Matteo Montalcini, Gabriele Scalia, Barbara Pernici

Proceedings of the 11th International Conference on Research Challenges in Information Science, 2017