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ORCIDGabriele Scalia
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2020 – today
- 2024
[c10]Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia:
Conformalized Deep Splines for Optimal and Efficient Prediction Sets. AISTATS 2024: 1657-1665- [c9]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. ICML 2024 - [i16]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 abs/2402.15194 (2024) - [i15]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 abs/2402.16359 (2024) - [i14]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 abs/2405.19673 (2024) - [i13]Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali:
Adding Conditional Control to Diffusion Models with Reinforcement Learning. CoRR abs/2406.12120 (2024) - [i12]Stephen Zhewen Lu, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Yoshua Bengio, Gabriele Scalia, Michal Koziarski:
Cell Morphology-Guided Small Molecule Generation with GFlowNets. CoRR abs/2408.05196 (2024) - [i11]Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara:
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding. CoRR abs/2408.08252 (2024) - 2023
- [c8]Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia:
Improving Graph Generation by Restricting Graph Bandwidth. ICML 2023: 7939-7959 - [i10]Nathaniel Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia:
Improving Graph Generation by Restricting Graph Bandwidth. CoRR abs/2301.10857 (2023) - [i9]Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia:
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion. CoRR abs/2302.03790 (2023) - [i8]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 abs/2305.19800 (2023) - [i7]Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia:
Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion. CoRR abs/2306.02957 (2023) - [i6]Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia:
Conformalized Deep Splines for Optimal and Efficient Prediction Sets. CoRR abs/2311.00774 (2023) - 2022
- [j6]Gabriele Scalia
, Chiara Francalanci, Barbara Pernici:
CIME: Context-aware geolocation of emergency-related posts. GeoInformatica 26(1): 125-157 (2022) - [c7]Fardad Vakilipoor, Davide Scazzoli, Francesca Ratti, Gabriele Scalia, Maurizio Magarini:
Hybrid deep learning-based feature-augmented detection for molecular communication systems. NANOCOM 2022: 19:1-19:6 - [i5]Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas:
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control. CoRR abs/2210.12192 (2022) - [i4]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 abs/2211.02130 (2022) - [i3]Alex M. Tseng, Tommaso Biancalani, Max M. Shen, Gabriele Scalia:
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation. CoRR abs/2212.10777 (2022) - 2021
- [b1]Gabriele Scalia:
Machine learning-driven integration, knowledge extraction and uncertainty management for scientific data. Polytechnic University of Milan, Italy, 2021 - [j5]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: 663410 (2021) - [c6]Barbara Pernici, Francesca Ratti, Gabriele Scalia:
About the Quality of Data and Services in Natural Sciences. Next-Gen Digital Services 2021: 236-248 - [c5]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: 92-101 - 2020
- [j4]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): 2697-2717 (2020) - [c4]Francesca Ratti, Gabriele Scalia, Barbara Pernici, Maurizio Magarini:
A Data-driven Approach to Optimize Bounds on the Capacity of the Molecular Channel. GLOBECOM 2020: 1-7
2010 – 2019
- 2019
- [j3]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): 245-273 (2019) - [j2]Andrea Autelitano, Barbara Pernici, Gabriele Scalia:
Spatio-temporal mining of keywords for social media cross-social crawling of emergency events. GeoInformatica 23(3): 425-447 (2019) - [i2]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 abs/1910.03127 (2019) - 2018
- [c3]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: 138-149 - [i1]Barbara Pernici, Chiara Francalanci, Gabriele Scalia, Marco Corsi, Domenico Grandoni, Mariano Alfonso Biscardi:
Geolocating social media posts for emergency mapping. CoRR abs/1801.06861 (2018) - 2017
- [j1]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): 2766 (2017) - [c2]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: 382-390 - [c1]Chiara Francalanci, Barbara Pernici, Gabriele Scalia:
Exploratory Spatio-Temporal Queries in Evolving Information. MATES@VLDB 2017: 138-156
Coauthor Index
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