Motion Segmentation: a Review. - Luca Zappella; Xavier Lladó; Joaquim Salvi (CCIA, 2008)

Enhanced Model Selection for motion segmentation. - Luca Zappella; Xavier Lladó; Joaquim Salvi (ICIP, 2009)

Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration. - Luca Zappella; Edoardo Provenzi; Xavier Lladó; Joaquim Salvi (ACCV (3), 2010)

Simultaneous motion segmentation and Structure from Motion. - Luca Zappella; Alessio Del Bue; Xavier Lladó; Joaquim Salvi (WACV, 2011)

Enhanced Local Subspace Affinity for feature-based motion segmentation. - Luca Zappella; Xavier Lladó; Edoardo Provenzi; Joaquim Salvi (Pattern Recognit., 2011)

Manifold clustering for motion segmentation. - Luca Zappella (2011)

Visual Dictionary Learning for Joint Object Categorization and Segmentation. - Aastha Jain; Luca Zappella; Patrick McClure; René Vidal (ECCV (5), 2012)

Surgical Gesture Classification from Video Data. - Benjamín Béjar Haro; Luca Zappella; René Vidal (MICCAI (1), 2012)

Surgical Gesture Segmentation and Recognition. - Lingling Tao; Luca Zappella; Gregory D. Hager; René Vidal (MICCAI (3), 2013)

Joint estimation of segmentation and structure from motion. - Luca Zappella; Alessio Del Bue; Xavier Lladó; Joaquim Salvi (Comput. Vis. Image Underst., 2013)

Surgical gesture classification from video and kinematic data. - Luca Zappella; Benjamín Béjar Haro; Gregory D. Hager; René Vidal (Medical Image Anal., 2013)

A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15). - Muhammad Habib Mahmood; Luca Zappella; Yago Diez; Joaquim Salvi; Xavier Lladó (IbPRIA, 2015)

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. - Narges Ahmidi; Lingling Tao; Shahin Sefati; Yixin Gao; Colin Lea; Benjamín Béjar Haro; Luca Zappella; Sanjeev Khudanpur; René Vidal; Gregory D. Hager (IEEE Trans. Biomed. Eng., 2017)

Principal Filter Analysis for Guided Network Compression. - Xavier Suau; Luca Zappella; Vinay Palakkode; Nicholas Apostoloff (CoRR, 2018)

Filter Distillation for Network Compression. - Xavier Suau; Luca Zappella; Nicholas Apostoloff (WACV, 2020)

Finding Experts in Transformer Models. - Xavier Suau; Luca Zappella; Nicholas Apostoloff (CoRR, 2020)

Fair SA: Sensitivity Analysis for Fairness in Face Recognition. - Aparna R. Joshi; Xavier Suau Cuadros; Nivedha Sivakumar; Luca Zappella; Nicholas Apostoloff (AFCR, 2021)

Challenges of Adversarial Image Augmentations. - Arno Blaas; Xavier Suau; Jason Ramapuram; Nicholas Apostoloff; Luca Zappella (ICBINB@NeurIPS, 2021)

Self-conditioning Pre-Trained Language Models. - Xavier Suau Cuadros; Luca Zappella; Nicholas Apostoloff (ICML, 2022)

Contrastive Self-Supervised Learning for Skeleton Representations. - Nico Lingg; Miguel Sarabia; Luca Zappella; Barry-John Theobald (CoRR, 2022)

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. - Borja Rodríguez Gálvez; Arno Blaas; Pau Rodríguez; Adam Golinski; Xavier Suau; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

DUET: 2D Structured and Approximately Equivariant Representations. - Xavier Suau; Federico Danieli; T. Anderson Keller; Arno Blaas; Chen Huang 001; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. - Miguel Sarabia; Elena Menyaylenko; Alessandro Toso; Skyler Seto; Zakaria Aldeneh; Shadi Pirhosseinloo; Luca Zappella; Barry-John Theobald; Nicholas Apostoloff; Jonathan Sheaffer (INTERSPEECH, 2023)

DeepPCR: Parallelizing Sequential Operations in Neural Networks. - Federico Danieli; Miguel Sarabia; Xavier Suau Cuadros; Pau Rodríguez; Luca Zappella (NeurIPS, 2023)

Designing Data: Proactive Data Collection and Iteration for Machine Learning. - Aspen K. Hopkins; Fred Hohman; Luca Zappella; Xavier Suau Cuadros; Dominik Moritz (CoRR, 2023)

Robust multimodal models have outlier features and encode more concepts. - Jonathan Crabbé; Pau Rodríguez; Vaishaal Shankar; Luca Zappella; Arno Blaas (CoRR, 2023)

Homomorphic Self-Supervised Learning. - T. Anderson Keller; Xavier Suau; Luca Zappella (Trans. Mach. Learn. Res., 2023)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. - Xavier Suau; Pieter Delobelle; Katherine Metcalf; Armand Joulin; Nicholas Apostoloff; Luca Zappella; Pau Rodríguez (ICML, 2024)

Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare. - Arno Blaas; Adam Golinski; Andrew C. Miller; Luca Zappella; Jörn-Henrik Jacobsen; Christina Heinze-Deml (CoRR, 2024)

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. - Natalie Mackraz; Nivedha Sivakumar; Samira Khorshidi; Krishna Patel; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2024)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts. - Jonathan Crabbé; Pau Rodríguez; Vaishaal Shankar; Luca Zappella; Arno Blaas (Trans. Mach. Learn. Res., 2024)

Controlling Language and Diffusion Models by Transporting Activations. - Pau Rodríguez; Arno Blaas; Michal Klein; Luca Zappella; Nicholas Apostoloff; Marco Cuturi; Xavier Suau (ICLR, 2025)

End-to-end Learning of Sparse Interventions on Activations to Steer Generation. - Pau Rodríguez; Michal Klein; Eleonora Gualdoni; Arno Blaas; Luca Zappella; Marco Cuturi; Xavier Suau (CoRR, 2025)

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. - Andrea Santilli; Adam Golinski; Michael Kirchhof; Federico Danieli; Arno Blaas; Miao Xiong; Luca Zappella; Sinead Williamson (CoRR, 2025)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. - Yinong Oliver Wang; Nivedha Sivakumar; Falaah Arif Khan; Rin Metcalf Susa; Adam Golinski; Natalie Mackraz; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)

Fairness Dynamics During Training. - Krishna Patel; Nivedha Sivakumar; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. - Ningyuan Huang; Miguel Sarabia; Abhinav Moudgil; Pau Rodríguez; Luca Zappella; Federico Danieli (CoRR, 2025)

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution. - Falaah Arif Khan; Nivedha Sivakumar; Yinong Oliver Wang; Katherine Metcalf; Cezanne Camacho; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)