Gabriele Scalia

49 papers A* 6A 1B 3Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning. CoRR Chi-Min Chan, Ehsan Hajiramezanali, Xiner Li, Edward De Brouwer, Carl Edwards, Wei Xue, Sirui Han, Yike Guo, Gabriele Scalia
2026	A*	`conf`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. AAAI Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia
2025	A*	`conf`	Adding Conditional Control to Diffusion Models with Reinforcement Learning. ICLR Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Sun-Yuan Kung, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
2025	J	`jnl`	Dynamic Search for Inference-Time Alignment in Diffusion Models. CoRR Xiner Li, Masatoshi Uehara, Xingyu Su, Gabriele Scalia, Tommaso Biancalani, Aviv Regev, Sergey Levine, Shuiwang Ji
2025	J	`jnl`	E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing. CoRR Shuvom Sadhuka, Drew Prinster, Clara Fannjiang, Gabriele Scalia, Aviv Regev, Hanchen Wang
2025	J	`jnl`	Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design. CoRR Xingyu Su, Xiner Li, Masatoshi Uehara, Sunwoo Kim, Yulai Zhao, Gabriele Scalia, Ehsan Hajiramezanali, Tommaso Biancalani, Degui Zhi, Shuiwang Ji
2025	B	`conf`	Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States. RECOMB Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Héctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg
2025	—	`conf`	PerTurboAgent: An LLM-based Agent for Designing Iterative Perturb-Seq Experiments. MLCB Minsheng Hao, Yongju Lee, Hanchen Wang, Gabriele Scalia, Aviv Regev
2025	J	`jnl`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. CoRR Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Chanyoung Park, Gabriele Scalia
2024	J	`jnl`	A mechanistically interpretable neural network for regulatory genomics. CoRR Alex M. Tseng, Gökcen Eraslan, Tommaso Biancalani, Gabriele Scalia
2024	J	`jnl`	Adding Conditional Control to Diffusion Models with Reinforcement Learning. CoRR Yulai Zhao, Masatoshi Uehara, Gabriele Scalia, Tommaso Biancalani, Sergey Levine, Ehsan Hajiramezanali
2024	A*	`conf`	Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. NeurIPS Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models. CoRR Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Cell Morphology-Guided Small Molecule Generation with GFlowNets. CoRR Stephen Zhewen Lu, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Yoshua Bengio, Gabriele Scalia, Michal Koziarski
2024	A	`conf`	Conformalized Deep Splines for Optimal and Efficient Prediction Sets. AISTATS Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia
2024	J	`jnl`	Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-Based Decoding. CoRR Xiner Li, Yulai Zhao, Chenyu Wang, Gabriele Scalia, Gökcen Eraslan, Surag Nair, Tommaso Biancalani, Aviv Regev, Sergey Levine, Masatoshi Uehara
2024	J	`jnl`	Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction. CoRR Sepideh Maleki, Jan-Christian Huetter, Kangway V. Chuang, Gabriele Scalia, Tommaso Biancalani
2024	A*	`conf`	Feedback Efficient Online Fine-Tuning of Diffusion Models. ICML Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Feedback Efficient Online Fine-Tuning of Diffusion Models. CoRR Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani
2024	J	`jnl`	Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control. CoRR Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine
2024	A*	`conf`	GFlowNet Assisted Biological Sequence Editing. NeurIPS Pouya M. Ghari, Alex M. Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali
2024	J	`jnl`	Hierarchically branched diffusion models leverage dataset structure for class-conditional generation. Trans. Mach. Learn. Res. Alex M. Tseng, Max W. Shen, Tommaso Biancalani, Gabriele Scalia
2024	J	`jnl`	MolCap-Arena: A Comprehensive Captioning Benchmark on Language-Enhanced Molecular Property Prediction. CoRR Carl Edwards, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Heng Ji, Gabriele Scalia
2024	J	`jnl`	Score-based Explainability for Graph Representations. Trans. Mach. Learn. Res. Ehsan Hajiramezanali, Sepideh Maleki, Max W. Shen, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
2023	J	`jnl`	Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion. CoRR Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
2023	J	`jnl`	Conformalized Deep Splines for Optimal and Efficient Prediction Sets. CoRR Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia
2023	J	`jnl`	GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion. CoRR Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
2023	A*	`conf`	Improving Graph Generation by Restricting Graph Bandwidth. ICML Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
2023	J	`jnl`	Improving Graph Generation by Restricting Graph Bandwidth. CoRR Nathaniel Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
2023	J	`jnl`	RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion. CoRR Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang
2022	J	`jnl`	A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning. CoRR Austin Atsango, Nathaniel L. Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang
2022	J	`jnl`	CIME: Context-aware geolocation of emergency-related posts. GeoInformatica Gabriele Scalia, Chiara Francalanci, Barbara Pernici
2022	J	`jnl`	Conditional Diffusion with Less Explicit Guidance via Model Predictive Control. CoRR Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
2022	J	`jnl`	Hierarchically branched diffusion models for efficient and interpretable multi-class conditional generation. CoRR Alex M. Tseng, Tommaso Biancalani, Max W. Shen, Gabriele Scalia
2022	—	`conf`	Hybrid deep learning-based feature-augmented detection for molecular communication systems. NANOCOM Fardad Vakilipoor, Davide Scazzoli, Francesca Ratti, Gabriele Scalia, Maurizio Magarini
2021	—	`conf`	About the Quality of Data and Services in Natural Sciences. Next-Gen Digital Services Barbara Pernici, Francesca Ratti, Gabriele Scalia
2021	J	`jnl`	Data Ecosystems for Scientific Experiments: Managing Combustion Experiments and Simulation Analyses in Chemical Engineering. Frontiers Big Data Edoardo Ramalli, Gabriele Scalia, Barbara Pernici, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli
2021	—	`conf`	Image-Based Social Sensing: Combining AI and the Crowd to Mine Policy-Adherence Indicators from Twitter. ICSE-SEIS Virginia Negri, Dario Scuratti, Stefano Agresti, Donya Rooein, Gabriele Scalia, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez, Mark James Carman, Barbara Pernici
2021	—	`—`	Machine learning-driven integration, knowledge extraction and uncertainty management for scientific data. Gabriele Scalia
2020	B	`conf`	A Data-driven Approach to Optimize Bounds on the Capacity of the Molecular Channel. GLOBECOM Francesca Ratti, Gabriele Scalia, Barbara Pernici, Maurizio Magarini
2020	J	`jnl`	Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction. J. Chem. Inf. Model. Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.
2019	J	`jnl`	Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction. CoRR Gabriele Scalia, Colin A. Grambow, Barbara Pernici, Yi-Pei Li, William H. Green Jr.
2019	J	`jnl`	Spatio-temporal mining of keywords for social media cross-social crawling of emergency events. GeoInformatica Andrea Autelitano, Barbara Pernici, Gabriele Scalia
2019	J	`jnl`	Towards a scientific data framework to support scientific model development. Data Sci. Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Alberto Cuoci, Tiziano Faravelli, Barbara Pernici
2018	J	`jnl`	Geolocating social media posts for emergency mapping. CoRR Barbara Pernici, Chiara Francalanci, Gabriele Scalia, Marco Corsi, Domenico Grandoni, Mariano Alfonso Biscardi
2018	—	`conf`	Storing Combustion Data Experiments: New Requirements Emerging from a First Prototype - Position Paper. SAVE-SD@WWW Gabriele Scalia, Matteo Pelucchi, Alessandro Stagni, Tiziano Faravelli, Barbara Pernici
2017	J	`jnl`	E2mC: Improving Emergency Management Service Practice through Social Media and Crowdsourcing Analysis in Near Real Time. Sensors 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
2017	—	`conf`	Exploratory Spatio-Temporal Queries in Evolving Information. MATES@VLDB Chiara Francalanci, Barbara Pernici, Gabriele Scalia
2017	B	`conf`	IMEXT: A method and system to extract geolocated images from Tweets - Analysis of a case study. RCIS Chiara Francalanci, Paolo Guglielmino, Matteo Montalcini, Gabriele Scalia, Barbara Pernici