Luca Zappella

According to our database¹, Luca Zappella authored at least 38 papers between 2008 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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On csauthors.net:

Bibliography

2025

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution.

[BibT_eX]

[DOI]

CoRR, August, 2025

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity.

[BibT_eX]

[DOI]

CoRR, June, 2025

Fairness Dynamics During Training.

[BibT_eX]

[DOI]

CoRR, June, 2025

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results.

[BibT_eX]

[DOI]

CoRR, April, 2025

End-to-end Learning of Sparse Interventions on Activations to Steer Generation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Controlling Language and Diffusion Models by Transporting Activations.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare.

[BibT_eX]

[DOI]

Christina Heinze-Deml

CoRR, 2024

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

[BibT_eX]

[DOI]

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

2023

Homomorphic Self-Supervised Learning.

[BibT_eX]

[DOI]

T. Anderson Keller

Xavier Suau

Luca Zappella

Trans. Mach. Learn. Res., 2023

Robust multimodal models have outlier features and encode more concepts.

[BibT_eX]

[DOI]

CoRR, 2023

Designing Data: Proactive Data Collection and Iteration for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DeepPCR: Parallelizing Sequential Operations in Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

DUET: 2D Structured and Approximately Equivariant Representations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.

[BibT_eX]

[DOI]

Borja Rodríguez Gálvez

Proceedings of the International Conference on Machine Learning, 2023

2022

Contrastive Self-Supervised Learning for Skeleton Representations.

[BibT_eX]

[DOI]

CoRR, 2022

Self-conditioning Pre-Trained Language Models.

[BibT_eX]

[DOI]

Xavier Suau Cuadros

Luca Zappella

Nicholas Apostoloff

Proceedings of the International Conference on Machine Learning, 2022

2021

Challenges of Adversarial Image Augmentations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Finding Experts in Transformer Models.

[BibT_eX]

[DOI]

Xavier Suau

Luca Zappella

Nicholas Apostoloff

CoRR, 2020

Filter Distillation for Network Compression.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

2017

A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

2015

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

[BibT_eX]

[DOI]

Muhammad Habib Mahmood

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

2013

Surgical gesture classification from video and kinematic data.

[BibT_eX]

[DOI]

Medical Image Anal., 2013

Joint estimation of segmentation and structure from motion.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2013

Surgical Gesture Segmentation and Recognition.

[BibT_eX]

[DOI]

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

2012

Surgical Gesture Classification from Video Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Manifold clustering for motion segmentation.

[BibT_eX]

[DOI]

Luca Zappella

PhD thesis, 2011

Enhanced Local Subspace Affinity for feature-based motion segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

Simultaneous motion segmentation and Structure from Motion.

[BibT_eX]

[DOI]

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

2010

Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Enhanced Model Selection for motion segmentation.

[BibT_eX]

[DOI]

Luca Zappella

Xavier Lladó

Joaquim Salvi

Proceedings of the International Conference on Image Processing, 2009

2008

Motion Segmentation: a Review.

[BibT_eX]

[DOI]

Luca Zappella

Xavier Lladó

Joaquim Salvi

Proceedings of the Artificial Intelligence Research and Development, 2008

Luca Zappella

Timeline

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Links

On csauthors.net:

Bibliography

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