Xavier Suau

37 papers A* 5A 2B 2Misc 1Journal 24Unranked 2
YearRankTypeTitle / 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
Sparse Autoencoders are Capable LLM Jailbreak Mitigators.
CoRR
Yannick Assogba, Jacopo Cortellazzi, Javier Abad, Pau Rodríguez, Xavier Suau, Arno Blaas
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
Dynamically Scaled Activation Steering.
CoRR
Alex Ferrando, Xavier Suau, Jordi Gonzàlez, Pau Rodríguez
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
ParaRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models.
CoRR
Federico Danieli, Pau Rodríguez, Miguel Sarabia, Xavier Suau, Luca Zappella
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 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 J jnl
DeepPCR: Parallelizing Sequential Operations in Neural Networks.
CoRR
Federico Danieli, Miguel Sarabia, Xavier Suau, Pau Rodríguez, Luca Zappella
2023 J jnl
Homomorphic Self-Supervised Learning.
Trans. Mach. Learn. Res.
T. Anderson Keller, Xavier Suau, Luca Zappella
2023 J jnl
How to Scale Your EMA.
CoRR
Dan Busbridge, Jason Ramapuram, Pierre Ablin, Tatiana Likhomanenko, Eeshan Gunesh Dhekane, Xavier Suau, Russ Webb
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
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
Symphony: Composing Interactive Interfaces for Machine Learning.
CHI
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
2022 J jnl
Symphony: Composing Interactive Interfaces for Machine Learning.
CoRR
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
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 J jnl
Self-conditioning pre-trained language models.
CoRR
Xavier Suau, Luca Zappella, Nicholas Apostoloff
2021 J jnl
Stochastic Contrastive Learning.
CoRR
Jason Ramapuram, Dan Busbridge, Xavier Suau, Russ Webb
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
2014 J jnl
Gesture control interface for immersive panoramic displays.
Multim. Tools Appl.
Marcel Alcoverro, Xavier Suau, Josep Ramon Morros, Adolfo López-Mendez, Albert Gil, Javier Ruiz Hidalgo, Josep R. Casas
2014 J jnl
Real-time fingertip localization conditioned on hand gesture classification.
Image Vis. Comput.
Xavier Suau, Marcel Alcoverro, Adolfo López-Mendez, Javier Ruiz Hidalgo, Josep R. Casas
2013 J jnl
Detecting end-effectors on 2.5D data using geometric deformable models: Application to human pose estimation.
Comput. Vis. Image Underst.
Xavier Suau, Javier Ruiz Hidalgo, Josep R. Casas
2013 — —
Human body analysis using depth data.
Xavier Suau
2012 — conf
INTAIRACT: Joint Hand Gesture and Fingertip Classification for Touchless Interaction.
ECCV Workshops (3)
Xavier Suau, Marcel Alcoverro, Adolfo López-Mendez, Javier Ruiz Hidalgo, Josep R. Casas
2012 Misc conf
Oriented radial distribution on depth data: Application to the detection of end-effectors.
ICASSP
Xavier Suau, Javier Ruiz Hidalgo, Josep R. Casas
2012 J jnl
Real-Time Head and Hand Tracking Based on 2.5D Data.
IEEE Trans. Multim.
Xavier Suau, Javier Ruiz Hidalgo, Josep R. Casas
2011 A conf
Real-time head and hand tracking based on 2.5D data.
ICME
Xavier Suau, Josep R. Casas, Javier Ruiz Hidalgo
2010 B conf
Surface reconstruction by restricted and oriented propagation.
ICIP
Xavier Suau, Josep R. Casas, Javier Ruiz Hidalgo
2009 B conf
Multi-Resolution Illumination Compensation for foreground extraction.
ICIP
Xavier Suau, Josep R. Casas, Javier Ruiz Hidalgo