Gabriele Scalia
Orcid: 0000-0003-3305-9220
According to our database1,
Gabriele Scalia
authored at least 34 papers
between 2017 and 2024.
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Bibliography
2024
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction.
CoRR, 2024
MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction.
CoRR, 2024
Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
CoRR, 2023
RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion.
CoRR, 2023
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation.
CoRR, 2022
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning.
CoRR, 2022
CoRR, 2022
Hybrid deep learning-based feature-augmented detection for molecular communication systems.
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.
PhD thesis, 2021
Data Ecosystems for Scientific Experiments: Managing Combustion Experiments and Simulation Analyses in Chemical Engineering.
Frontiers Big Data, 2021
Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021
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.
J. Chem. Inf. Model., 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
Spatio-temporal mining of keywords for social media cross-social crawling of emergency events.
GeoInformatica, 2019
Data Sci., 2019
Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction.
CoRR, 2019
2018
Storing Combustion Data Experiments: New Requirements Emerging from a First Prototype - Position Paper.
Proceedings of the Semantics, Analytics, Visualization, 2018
2017
E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time.
Sensors, 2017
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.
Proceedings of the 11th International Conference on Research Challenges in Information Science, 2017