Gabriele Scalia

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Diffusion Models

Emergency Management

Top Venues

Next-Gen Digital Services

Publications

Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
Adding Conditional Control to Diffusion Models with Reinforcement Learning. CoRR (2024)
Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia
Conformalized Deep Splines for Optimal and Efficient Prediction Sets. AISTATS (2024)
Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine
Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control. CoRR (2024)
Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
Feedback Efficient Online Fine-Tuning of Diffusion Models. CoRR (2024)
Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. CoRR (2024)
Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
Improving Graph Generation by Restricting Graph Bandwidth. ICML (2023)
Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang
RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion. CoRR (2023)
Nathaniel Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
Improving Graph Generation by Restricting Graph Bandwidth. CoRR (2023)
Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion. CoRR (2023)
Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia
Conformalized Deep Splines for Optimal and Efficient Prediction Sets. CoRR (2023)
Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion. CoRR (2023)
Fardad Vakilipoor, Davide Scazzoli, Francesca Ratti, Gabriele Scalia, Maurizio Magarini
Hybrid deep learning-based feature-augmented detection for molecular communication systems. NANOCOM (2022)
Alex M. Tseng, Tommaso Biancalani, Max M. Shen, Gabriele Scalia
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation. CoRR (2022)
Gabriele Scalia, Chiara Francalanci, Barbara Pernici
CIME: Context-aware geolocation of emergency-related posts. GeoInformatica 26 (1) (2022)
Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control. CoRR (2022)
Austin Atsango, Nathaniel L. Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning. CoRR (2022)
Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Gabriele Scalia, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, Barbara Pernici
Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter. ICSE-SEIS (2021)
Barbara Pernici, Francesca Ratti, Gabriele Scalia
About the Quality of Data and Services in Natural Sciences. Next-Gen Digital Services (2021)
Edoardo Ramalli, Gabriele Scalia, Barbara Pernici, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli
Data Ecosystems for Scientific Experiments: Managing Combustion Experiments and Simulation Analyses in Chemical Engineering. Frontiers Big Data 4 (2021)
Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.
Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction. J. Chem. Inf. Model. 60 (6) (2020)
Francesca Ratti, Gabriele Scalia, Barbara Pernici, Maurizio Magarini
A Data-driven Approach to Optimize Bounds on the Capacity of the Molecular Channel. GLOBECOM (2020)
Andrea Autelitano, Barbara Pernici, Gabriele Scalia
Spatio-temporal mining of keywords for social media cross-social crawling of emergency events. GeoInformatica 23 (3) (2019)
Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli, Barbara Pernici
Towards a scientific data framework to support scientific model development. Data Sci. 2 (1-2) (2019)
Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction. CoRR (2019)
Barbara Pernici, Chiara Francalanci, Gabriele Scalia, Marco Corsi, Domenico Grandoni, Mariano Alfonso Biscardi
Geolocating social media posts for emergency mapping. CoRR (2018)
Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Tiziano Faravelli, Barbara Pernici
Storing Combustion Data Experiments: New Requirements Emerging from a First Prototype - Position Paper. SAVE-SD@WWW (2018)
Chiara Francalanci, Paolo Guglielmino, Matteo Montalcini, Gabriele Scalia, Barbara Pernici
IMEXT: A method and system to extract geolocated images from Tweets - Analysis of a case study. RCIS (2017)
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
E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. Sensors 17 (12) (2017)
Chiara Francalanci, Barbara Pernici, Gabriele Scalia
Exploratory Spatio-Temporal Queries in Evolving Information. MATES@VLDB (2017)