Space-Time-Separable Graph Convolutional Network for Pose Forecasting. - Theodoros Sofianos; Alessio Sampieri; Luca Franco; Fabio Galasso (ICCV, 2021)

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)

Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations. - Luca Franco; Paolo Mandica; Bharti Munjal; Fabio Galasso (ICLR, 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)

Under the hood of transformer networks for trajectory forecasting. - Luca Franco; Leonardo Placidi; Francesco Giuliari; Irtiza Hasan; Marco Cristani; Fabio Galasso (Pattern Recognit., 2023)

Hyperbolic Learning with Multimodal Large Language Models. - Paolo Mandica; Luca Franco; Konstantinos Kallidromitis; Suzanne Petryk; Fabio Galasso (ECCV Workshops (17), 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 (ICML, 2024)

SeRpEnt: Selective Resampling for Expressive State Space Models. - Stefano Rando; Luca Romani; Matteo Migliarini; Luca Franco; Denis A. Gudovskiy; Fabio Galasso (CoRR, 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 002 (CoRR, 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, 2025)