Luca Zappella

According to our database1, Luca Zappella authored at least 30 papers between 2008 and 2024.

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Bibliography

2024
Controlling Language and Diffusion Models by Transporting Activations.
CoRR, 2024

Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare.
CoRR, 2024

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Homomorphic Self-Supervised Learning.
Trans. Mach. Learn. Res., 2023

Robust multimodal models have outlier features and encode more concepts.
CoRR, 2023

Designing Data: Proactive Data Collection and Iteration for Machine Learning.
CoRR, 2023

DeepPCR: Parallelizing Sequential Operations in Neural Networks.
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.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

DUET: 2D Structured and Approximately Equivariant Representations.
Proceedings of the International Conference on Machine Learning, 2023

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Contrastive Self-Supervised Learning for Skeleton Representations.
CoRR, 2022

Self-conditioning Pre-Trained Language Models.
Proceedings of the International Conference on Machine Learning, 2022

2021
Challenges of Adversarial Image Augmentations.
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.
Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2020
Finding Experts in Transformer Models.
CoRR, 2020

Filter Distillation for Network Compression.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2018
Principal Filter Analysis for Guided Network Compression.
CoRR, 2018

2017
A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery.
IEEE Trans. Biomed. Eng., 2017

2015
A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15).
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

2013
Surgical gesture classification from video and kinematic data.
Medical Image Anal., 2013

Joint estimation of segmentation and structure from motion.
Comput. Vis. Image Underst., 2013

Surgical Gesture Segmentation and Recognition.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Surgical Gesture Classification from Video Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Visual Dictionary Learning for Joint Object Categorization and Segmentation.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Manifold clustering for motion segmentation.
PhD thesis, 2011

Enhanced Local Subspace Affinity for feature-based motion segmentation.
Pattern Recognit., 2011

Simultaneous motion segmentation and Structure from Motion.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

2010
Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Enhanced Model Selection for motion segmentation.
Proceedings of the International Conference on Image Processing, 2009

2008
Motion Segmentation: a Review.
Proceedings of the Artificial Intelligence Research and Development, 2008


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