Luca Zappella

According to our database, Luca Zappella authored at least 39 papers between 2008 and 2025.

Collaborative distances:

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

2025

Bias after Prompting: Persistent Discrimination in Large Language Models.

Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, September, 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, August, 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, June, 2025

Fairness Dynamics During Training.

Krishna Patel, Nivedha Sivakumar, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, June, 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, May, 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, March, 2025

Controlling Language and Diffusion Models by Transporting Activations.

Pau Rodríguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

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

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

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

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models.

Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez

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

2023

Homomorphic Self-Supervised Learning.

T. Anderson Keller, Xavier Suau, Luca Zappella

Trans. Mach. Learn. Res., 2023

Robust multimodal models have outlier features and encode more concepts.

Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas

CoRR, 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

DeepPCR: Parallelizing Sequential Operations in Neural Networks.

Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

DUET: 2D Structured and Approximately Equivariant Representations.

Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

2022

Contrastive Self-Supervised Learning for Skeleton Representations.

Nico Lingg, Miguel Sarabia, Luca Zappella, Barry-John Theobald

CoRR, 2022

Self-conditioning Pre-Trained Language Models.

Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff

Proceedings of the International Conference on Machine Learning, 2022

2021

Challenges of Adversarial Image Augmentations.

Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella

Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021

Fair SA: Sensitivity Analysis for Fairness in Face Recognition.

Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2020

Finding Experts in Transformer Models.

Xavier Suau, Luca Zappella, Nicholas Apostoloff

CoRR, 2020

Filter Distillation for Network Compression.

Xavier Suau, Luca Zappella, Nicholas Apostoloff

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2018

Principal Filter Analysis for Guided Network Compression.

Xavier Suau, Luca Zappella, Vinay Palakkode, Nicholas Apostoloff

CoRR, 2018

2017

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

2015

A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15).

Muhammad Habib Mahmood, Luca Zappella, Yago Diez, Joaquim Salvi, Xavier Lladó

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2013

Surgical gesture classification from video and kinematic data.

Luca Zappella, Benjamín Béjar Haro, Gregory D. Hager, René Vidal

Medical Image Anal., 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 Segmentation and Recognition.

Lingling Tao, Luca Zappella, Gregory D. Hager, René Vidal

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Surgical Gesture Classification from Video Data.

Benjamín Béjar Haro, Luca Zappella, René Vidal

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Visual Dictionary Learning for Joint Object Categorization and Segmentation.

Aastha Jain, Luca Zappella, Patrick McClure, René Vidal

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Manifold clustering for motion segmentation.

Luca Zappella

PhD thesis, 2011

Enhanced Local Subspace Affinity for feature-based motion segmentation.

Luca Zappella, Xavier Lladó, Edoardo Provenzi, Joaquim Salvi

Pattern Recognit., 2011

Simultaneous motion segmentation and Structure from Motion.

Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

2010

Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration.

Luca Zappella, Edoardo Provenzi, Xavier Lladó, Joaquim Salvi

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Enhanced Model Selection for motion segmentation.

Luca Zappella, Xavier Lladó, Joaquim Salvi

Proceedings of the International Conference on Image Processing, 2009

2008

Motion Segmentation: a Review.

Luca Zappella, Xavier Lladó, Joaquim Salvi

Proceedings of the Artificial Intelligence Research and Development, 2008