Zappella, Luca

16 publications

ICLR 2025 Controlling Language and Diffusion Models by Transporting Activations Pau Rodriguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau

ICML 2025 Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

NeurIPS 2025 LinEAS: End-to-End Learning of Activation Steering with a Distributional Loss Pau Rodriguez, Michal Klein, Eleonora Gualdoni, Valentino Maiorca, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau

ICML 2025 Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodriguez, Luca Zappella, Federico Danieli

TMLR 2024 Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts Jonathan Crabbé, Pau Rodriguez, Vaishaal Shankar, Luca Zappella, Arno Blaas

NeurIPSW 2024 On a Spurious Interaction Between Uncertainty Scores and Answer Evaluation Metrics in Generative QA Tasks Andrea Santilli, Miao Xiong, Michael Kirchhof, Pau Rodriguez, Federico Danieli, Xavier Suau, Luca Zappella, Sinead Williamson, Adam Golinski

ICML 2024 Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodriguez

ICLRW 2023 Considerations for Distribution Shift Robustness in Health Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml

ICML 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

NeurIPS 2023 DeepPCR: Parallelizing Sequential Operations in Neural Networks Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodriguez, Luca Zappella

TMLR 2023 Homomorphic Self-Supervised Learning T. Anderson Keller, Xavier Suau, Luca Zappella

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

ICML 2022 Self-Conditioning Pre-Trained Language Models Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff

NeurIPSW 2021 Challenges of Adversarial Image Augmentations Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella

WACV 2020 Filter Distillation for Network Compression Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff

ECCV 2012 Visual Dictionary Learning for Joint Object Categorization and Segmentation Aastha Jain, Luca Zappella, Patrick McClure, René Vidal