Luca Zappella - RankMe

57 papers A* 8A 3B 1Misc 1Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GenCtrl - A Formal Controllability Toolkit for Generative Models. CoRR Emily Cheng, Carmen Amo Alonso, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodríguez, Xavier Suau
2026	J	`jnl`	The Design Space of Tri-Modal Masked Diffusion Models. CoRR Louis Béthune, Victor Turrisi, Bruno Kacper Mlodozeniec, Pau Rodríguez López, Lokesh Boominathan, Nikhil Bhendawade, Amitis Shidani, Joris Pelemans, Theo X. Olausson, R. Devon Hjelm, Paul Dixon, João Monteiro, Pierre Ablin, Vishnu Banna, Arno Blaas, Nick Henderson, Kari Noriy, Dan Busbridge, Joshua M. Susskind, Marco Cuturi, Irina Belousova, Luca Zappella, Russ Webb, Jason Ramapuram
2025	—	`conf`	Bias after Prompting: Persistent Discrimination in Large Language Models. EMNLP (Findings) Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Bias after Prompting: Persistent Discrimination in Large Language Models. CoRR Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	A*	`conf`	Controlling Language and Diffusion Models by Transporting Activations. ICLR Pau Rodríguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
2025	J	`jnl`	DSO: Direct Steering Optimization for Bias Mitigation. CoRR Lucas Monteiro Paes, Nivedha Sivakumar, Yinong Oliver Wang, Masha Fedzechkina Donaldson, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	End-to-end Learning of Sparse Interventions on Activations to Steer Generation. CoRR Pau Rodríguez, Michal Klein, Eleonora Gualdoni, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau
2025	J	`jnl`	Fairness Dynamics During Training. CoRR Krishna Patel, Nivedha Sivakumar, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution. CoRR Falaah Arif Khan, Nivedha Sivakumar, Yinong Oliver Wang, Katherine Metcalf, Cezanne Camacho, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	A*	`conf`	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. ICML Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. CoRR Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Rin Metcalf Susa, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models. CoRR Federico Danieli, Pau Rodríguez, Miguel Sarabia, Xavier Suau, Luca Zappella
2025	—	`conf`	Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. ACL (2) Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson
2025	J	`jnl`	Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. CoRR Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson
2025	A*	`conf`	Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. ICML Ningyuan Teresa Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodríguez, Luca Zappella, Federico Danieli
2025	J	`jnl`	Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. CoRR Ningyuan Huang, Miguel Sarabia, Abhinav Moudgil, Pau Rodríguez, Luca Zappella, Federico Danieli
2024	J	`jnl`	Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare. CoRR Arno Blaas, Adam Golinski, Andrew C. Miller, Luca Zappella, Jörn-Henrik Jacobsen, Christina Heinze-Deml
2024	J	`jnl`	Controlling Language and Diffusion Models by Transporting Activations. CoRR Pau Rodríguez López, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
2024	J	`jnl`	Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. CoRR Natalie Mackraz, Nivedha Sivakumar, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2024	J	`jnl`	Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts. Trans. Mach. Learn. Res. Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
2024	A*	`conf`	Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. ICML Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
2024	J	`jnl`	Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
2023	A*	`conf`	DUET: 2D Structured and Approximately Equivariant Representations. ICML Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	J	`jnl`	DUET: 2D Structured and Approximately Equivariant Representations. CoRR Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	A*	`conf`	DeepPCR: Parallelizing Sequential Operations in Neural Networks. NeurIPS Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella
2023	J	`jnl`	DeepPCR: Parallelizing Sequential Operations in Neural Networks. CoRR Federico Danieli, Miguel Sarabia, Xavier Suau, Pau Rodríguez, Luca Zappella
2023	J	`jnl`	Designing Data: Proactive Data Collection and Iteration for Machine Learning. CoRR Aspen K. Hopkins, Fred Hohman, Luca Zappella, Xavier Suau Cuadros, Dominik Moritz
2023	J	`jnl`	Homomorphic Self-Supervised Learning. Trans. Mach. Learn. Res. T. Anderson Keller, Xavier Suau, Luca Zappella
2023	J	`jnl`	Robust multimodal models have outlier features and encode more concepts. CoRR Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
2023	A	`conf`	Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. INTERSPEECH Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer
2023	J	`jnl`	Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. CoRR Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer
2023	A*	`conf`	The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	J	`jnl`	The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
2022	J	`jnl`	Contrastive Self-Supervised Learning for Skeleton Representations. CoRR Nico Lingg, Miguel Sarabia, Luca Zappella, Barry-John Theobald
2022	J	`jnl`	Fair SA: Sensitivity Analysis for Fairness in Face Recognition. CoRR Aparna R. Joshi, Xavier Suau, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
2022	J	`jnl`	Homomorphic Self-Supervised Learning. CoRR T. Anderson Keller, Xavier Suau, Luca Zappella
2022	A*	`conf`	Self-conditioning Pre-Trained Language Models. ICML Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff
2021	—	`conf`	Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
2021	J	`jnl`	Challenges of Adversarial Image Augmentations. CoRR Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
2021	—	`conf`	Fair SA: Sensitivity Analysis for Fairness in Face Recognition. AFCR Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
2021	J	`jnl`	Self-conditioning pre-trained language models. CoRR Xavier Suau, Luca Zappella, Nicholas Apostoloff
2020	A	`conf`	Filter Distillation for Network Compression. WACV Xavier Suau, Luca Zappella, Nicholas Apostoloff
2020	J	`jnl`	Finding Experts in Transformer Models. CoRR Xavier Suau, Luca Zappella, Nicholas Apostoloff
2018	J	`jnl`	Principal Filter Analysis for Guided Network Compression. CoRR Xavier Suau, Luca Zappella, Vinay Palakkode, Nicholas Apostoloff
2017	J	`jnl`	A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Trans. Biomed. Eng. Narges Ahmidi, Lingling Tao, Shahin Sefati, Yixin Gao, Colin Lea, Benjamín Béjar Haro, Luca Zappella, Sanjeev Khudanpur, René Vidal, Gregory D. Hager
2015	Misc	`conf`	A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15). IbPRIA Muhammad Habib Mahmood, Luca Zappella, Yago Diez, Joaquim Salvi, Xavier Lladó
2013	J	`jnl`	Joint estimation of segmentation and structure from motion. Comput. Vis. Image Underst. Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi
2013	—	`conf`	Surgical Gesture Segmentation and Recognition. MICCAI (3) Lingling Tao, Luca Zappella, Gregory D. Hager, René Vidal
2013	J	`jnl`	Surgical gesture classification from video and kinematic data. Medical Image Anal. Luca Zappella, Benjamín Béjar Haro, Gregory D. Hager, René Vidal
2012	—	`conf`	Surgical Gesture Classification from Video Data. MICCAI (1) Benjamín Béjar Haro, Luca Zappella, René Vidal
2012	—	`conf`	Visual Dictionary Learning for Joint Object Categorization and Segmentation. ECCV (5) Aastha Jain, Luca Zappella, Patrick McClure, René Vidal
2011	J	`jnl`	Enhanced Local Subspace Affinity for feature-based motion segmentation. Pattern Recognit. Luca Zappella, Xavier Lladó, Edoardo Provenzi, Joaquim Salvi
2011	—	`—`	Manifold clustering for motion segmentation. Luca Zappella
2011	A	`conf`	Simultaneous motion segmentation and Structure from Motion. WACV Luca Zappella, Alessio Del Bue, Xavier Lladó, Joaquim Salvi
2010	—	`conf`	Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration. ACCV (3) Luca Zappella, Edoardo Provenzi, Xavier Lladó, Joaquim Salvi
2009	B	`conf`	Enhanced Model Selection for motion segmentation. ICIP Luca Zappella, Xavier Lladó, Joaquim Salvi
2008	—	`conf`	Motion Segmentation: a Review. CCIA Luca Zappella, Xavier Lladó, Joaquim Salvi