Rodríguez, Pau

37 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

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

CVPR 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar, David Vazquez, Christopher Pal, Marco Pedersoli

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

CoLLAs 2024 Continual Learning of Diffusion Models with Generative Distillation Sergi Masip, Pau Rodriguez, Tinne Tuytelaars, Gido M van de Ven

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

NeurIPS 2023 CADet: Fully Self-Supervised Out-of-Distribution Detection with Contrastive Learning Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, Joao Monteiro

CoLLAs 2023 Challenging Common Assumptions About Catastrophic Forgetting and Knowledge Accumulation Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish

ICLR 2023 Constraining Representations Yields Models That Know What They Don't Know Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

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

TMLR 2023 Explaining Visual Counterfactual Explainers Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez

NeurIPS 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu

NeurIPS 2023 Group Robust Classification Without Any Group Information Christos Tsirigotis, Joao Monteiro, Pau Rodriguez, David Vazquez, Aaron C. Courville

WACV 2023 OCR-VQGAN: Taming Text-Within-Image Generation Juan A. Rodríguez, David Vazquez, Issam Laradji, Marco Pedersoli, Pau Rodriguez

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

TMLR 2023 Workflow Discovery from Dialogues in the Low Data Regime Amine El hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal

JMLR 2022 A Closer Look at Embedding Propagation for Manifold Smoothing Diego Velazquez, Pau Rodriguez, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzalez

NeurIPSW 2022 Attention for Compositional Modularity Oleksiy Ostapenko, Pau Rodriguez, Alexandre Lacoste, Laurent Charlin

NeurIPSW 2022 Constraining Low-Level Representations to Define Effective Confidence Scores Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam H. Laradji, David Vazquez

CoLLAs 2022 Continual Learning with Foundation Models: An Empirical Study of Latent Replay Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin

CLeaR 2022 Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA Sebastien Lachapelle, Pau Rodriguez, Yash Sharma, Katie E Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien

NeurIPSW 2022 Exploring the Design Space of Generative Diffusion Processes for Sparse Graphs Pierre-Andre Noel, Pau Rodriguez

CVPR 2022 Multi-Label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vazquez, Aaron Courville

ICLRW 2022 Object-Centric Compositional Imagination for Visual Abstract Reasoning Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua Bengio

CoLLAs 2022 Overcoming Challenges in Leveraging GANs for Few-Shot Data Augmentation Christopher Beckham, Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal

WACV 2021 A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images Issam Laradji, Pau Rodriguez, Oscar Manas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vazquez, Derek Nowrouzezahrai

ICCV 2021 Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji, Laurent Charlin, David Vazquez

NeurIPS 2021 Continual Learning via Local Module Composition Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin

WACV 2021 OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network Parichehr Behjati, Pau Rodriguez, Armin Mehri, Isabelle Hupont, Carles Fernandez Tena, Jordi Gonzalez

ICCVW 2021 SSR: Semi-Supervised Soft Rasterizer for Single-View 2D to 3D Reconstruction Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai

ICCV 2021 Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vazquez, Pau Rodríguez

ECCV 2020 Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste

NeurIPS 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): A New Approach to Continual Learning Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

ECCV 2018 Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery Pau Rodriguez, Josep M. Gonfaus, Guillem Cucurull, F. XavierRoca, Jordi Gonzalez

ICLR 2017 Regularizing CNNs with Locally Constrained Decorrelations Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca