Luca Franco

According to our database, Luca Franco authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Not All Latent Spaces Are Flat: Hyperbolic Concept Control.

Maria Rosaria Briglia, Simone Facchiano, Paolo Cursi, Alessio Sampieri, Emanuele Rodolà, Guido Maria D'Amely di Melendugno, Luca Franco, Fabio Galasso, Iacopo Masi

CoRR, March, 2026

2025

Video Unlearning via Low-Rank Refusal Vector.

Simone Facchiano, Stefano Saravalle, Matteo Migliarini, Edoardo De Matteis, Alessio Sampieri, Andrea Pilzer, Emanuele Rodolà, Indro Spinelli, Luca Franco, Fabio Galasso

CoRR, June, 2025

LongCodeBench: Evaluating Coding LLMs at 1M Context Windows.

Stefano Rando, Luca Romani, Alessio Sampieri, Yuta Kyuragi, Luca Franco, Fabio Galasso, Tatsunori Hashimoto, John Yang

CoRR, May, 2025

SeRpEnt: Selective Resampling for Expressive State Space Models.

Stefano Rando, Luca Romani, Matteo Migliarini, Luca Franco, Denis A. Gudovskiy, Fabio Galasso

CoRR, January, 2025

2024

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift.

Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hyperbolic Learning with Multimodal Large Language Models.

Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Under the hood of transformer networks for trajectory forecasting.

Luca Franco, Leonardo Placidi, Francesco Giuliari, Irtiza Hasan, Marco Cristani, Fabio Galasso

Pattern Recognit., June, 2023

Hyperbolic Active Learning for Semantic Segmentation under Domain Shift.

Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Fabio Galasso

CoRR, 2023

Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations.

Luca Franco, Paolo Mandica, Bharti Munjal, Fabio Galasso

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Deep learning for laboratory earthquake prediction and autoregressive forecasting of fault zone stress.

Laura Laurenti, Elisa Tinti, Fabio Galasso, Luca Franco, Chris Marone

CoRR, 2022

2021

Space-Time-Separable Graph Convolutional Network for Pose Forecasting.

Theodoros Sofianos, Alessio Sampieri, Luca Franco, Fabio Galasso

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021