Donato Crisostomi

According to our database, Donato Crisostomi authored at least 19 papers between 2022 and 2025.

Collaborative distances:

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

2025

Implicit Inversion turns CLIP into a Decoder.

Antonio D'Orazio, Maria Rosaria Briglia, Donato Crisostomi, Dario Loi, Emanuele Rodolà, Iacopo Masi

CoRR, May, 2025

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors.

Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello

CoRR, May, 2025

Mergenetic: a Simple Evolutionary Model Merging Library.

Adrian Robert Minut, Tommaso Mencattini, Andrea Santilli, Donato Crisostomi, Emanuele Rodolà

CoRR, May, 2025

STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning.

Giorgio Strano, Chiara Ballanti, Donato Crisostomi, Michele Mancusi, Luca Cosmo, Emanuele Rodolà

CoRR, April, 2025

MASS: MoErging through Adaptive Subspace Selection.

Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà

CoRR, April, 2025

Activation Patching for Interpretable Steering in Music Generation.

Simone Facchiano, Giorgio Strano, Donato Crisostomi, Irene Tallini, Tommaso Mencattini, Fabio Galasso, Emanuele Rodolà

CoRR, April, 2025

LoopGen: Training-Free Loopable Music Generation.

Davide Marincione, Giorgio Strano, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà

CoRR, April, 2025

MERGE³: Efficient Evolutionary Merging on Consumer-grade GPUs.

Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodolà

CoRR, February, 2025

Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models.

Clémentine C. J. Dominé, Marco Fumero, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld

Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

Task Singular Vectors: Reducing Task Interference in Model Merging.

Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

ATM: Improving Model Merging by Alternating Tuning and Merging.

Luca Zhou, Daniele Solombrino, Donato Crisostomi, Maria Sofia Bucarelli, Fabrizio Silvestri, Emanuele Rodolà

CoRR, 2024

C²M³: Cycle-Consistent Multi-Model Merging.

Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà

CoRR, 2024

$C^2M^3$: Cycle-Consistent Multi-Model Merging.

Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Efficient Generation of Multimodal Fluid Simulation Data.

Daniele Baieri, Donato Crisostomi, Stefano Esposito, Filippo Maggioli, Emanuele Rodolà

CoRR, 2023

From charts to atlas: Merging latent spaces into one.

Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

AVEN-GR: Attribute Value Extraction and Normalization using product GRaphs.

Thomas Ricatte, Donato Crisostomi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses.

Donato Crisostomi, Andrea Caciolai, Alessandro Pedrani, Kay Rottmann, Alessandro Manzotti, Enrico Palumbo, Davide Bernardi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Few-Shot Object Detection: A Survey.

Simone Antonelli, Danilo Avola, Luigi Cinque, Donato Crisostomi, Gian Luca Foresti, Fabio Galasso, Marco Raoul Marini, Alessio Mecca, Daniele Pannone

ACM Comput. Surv., January, 2022

Metric Based Few-Shot Graph Classification.

Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà

Proceedings of the Learning on Graphs Conference, 2022