Pau Rodríguez

100 papers A* 15A 4B 1Journal 65Unranked 14

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`	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
2025	A*	`conf`	StarVector: Generating Scalable Vector Graphics Code from Images and Text. CVPR Juan A. Rodríguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, Sai Rajeswar, David Vázquez, Christopher Pal, Marco Pedersoli
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	—	`conf`	Continual Learning of Diffusion Models with Generative Distillation. CoLLAs Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven
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	J	`jnl`	A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
2023	A*	`conf`	CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. NeurIPS Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro
2023	—	`conf`	Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. CoLLAs Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish
2023	A*	`conf`	Constraining Representations Yields Models That Know What They Don't Know. ICLR João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
2023	J	`jnl`	Continual Learning of Diffusion Models with Generative Distillation. CoRR Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven
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`	Explaining Visual Counterfactual Explainers. Trans. Mach. Learn. Res. Diego A. Velázquez, Pau Rodríguez, Alexandre Lacoste, Issam H. Laradji, F. Xavier Roca, Jordi Gonzàlez
2023	—	`conf`	FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	J	`jnl`	FigGen: Text to Scientific Figure Generation. CoRR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2023	—	`conf`	From IID to the Independent Mechanisms assumption in continual learning. AAAI Bridge Program Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin
2023	A*	`conf`	GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
2023	J	`jnl`	GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
2023	A*	`conf`	Group Robust Classification Without Any Group Information. NeurIPS Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville
2023	J	`jnl`	Group Robust Classification Without Any Group Information. CoRR Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville
2023	J	`jnl`	Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal
2023	J	`jnl`	OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. CoRR Rim Assouel, Pau Rodríguez, Perouz Taslakian, David Vázquez, Yoshua Bengio
2023	A	`conf`	OCR-VQGAN: Taming Text-within-Image Generation. WACV Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
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	J	`jnl`	Single image super-resolution based on directional variance attention network. Pattern Recognit. Parichehr Behjati, Pau Rodríguez, Carles Fernández, Isabelle Hupont, Armin Mehri, Jordi Gonzàlez
2023	J	`jnl`	StarVector: Generating Scalable Vector Graphics Code from Images. CoRR Juan A. Rodríguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
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
2023	J	`jnl`	Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal
2022	J	`jnl`	3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
2022	J	`jnl`	A Closer Look at Embedding Propagation for Manifold Smoothing. J. Mach. Learn. Res. Diego A. Velázquez, Pau Rodríguez, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
2022	J	`jnl`	CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. CoRR Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro
2022	J	`jnl`	CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
2022	J	`jnl`	Challenges in leveraging GANs for few-shot data augmentation. CoRR Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal
2022	A	`conf`	Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville
2022	J	`jnl`	Constraining Representations Yields Models That Know What They Don't Know. CoRR João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
2022	—	`conf`	Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin
2022	—	`conf`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	J	`jnl`	Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
2022	J	`jnl`	Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. IEEE Trans. Cybern. Pau Rodríguez, Guillem Cucurull, Jordi Gonzàlez, Josep M. Gonfaus, Kamal Nasrollahi, Thomas B. Moeslund, F. Xavier Roca
2022	—	`conf`	Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. CLeaR Sébastien Lachapelle, Pau Rodríguez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
2022	J	`jnl`	Foundational Models for Continual Learning: An Empirical Study of Latent Replay. CoRR Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin
2022	J	`jnl`	Frequency-Based Enhancement Network for Efficient Super-Resolution. IEEE Access Parichehr Behjati, Pau Rodríguez, Carles Fernández Tena, Armin Mehri, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
2022	J	`jnl`	MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. CoRR Oscar Mañas, Pau Rodríguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
2022	A*	`conf`	Multi-label Iterated Learning for Image Classification with Label Ambiguity. CVPR Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
2022	J	`jnl`	OCR-VQGAN: Taming Text-within-Image Generation. CoRR Juan A. Rodríguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
2022	—	`conf`	Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal
2022	J	`jnl`	Scaling the Number of Tasks in Continual Learning. CoRR Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish
2022	J	`jnl`	Workflow Discovery from Dialogues in the Low Data Regime. CoRR Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal
2021	J	`jnl`	A Survey of Self-Supervised and Few-Shot Object Detection. CoRR Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
2021	A	`conf`	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. WACV Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
2021	A*	`conf`	Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. ICCV Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
2021	J	`jnl`	Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. CoRR Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
2021	J	`jnl`	Can Active Learning Preemptively Mitigate Fairness Issues? CoRR Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste
2021	A*	`conf`	Continual Learning via Local Module Composition. NeurIPS Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin
2021	J	`jnl`	Continual Learning via Local Module Composition. CoRR Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin
2021	J	`jnl`	Logo Detection With No Priors. IEEE Access Diego A. Velázquez, Josep M. Gonfaus, Pau Rodríguez, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
2021	J	`jnl`	Multi-label Iterated Learning for Image Classification with Label Ambiguity. CoRR Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
2021	A	`conf`	OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. WACV Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez
2021	—	`conf`	SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. ICCVW Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
2021	J	`jnl`	SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. CoRR Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
2021	A*	`conf`	Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. ICCV Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez
2021	J	`jnl`	Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. CoRR Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez
2021	J	`jnl`	Sequoia: A Software Framework to Unify Continual Learning Research. CoRR Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia
2021	J	`jnl`	Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez
2020	J	`jnl`	A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
2020	J	`jnl`	Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez
2020	J	`jnl`	CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
2020	J	`jnl`	Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. CoRR Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste
2020	—	`conf`	Embedding Propagation: Smoother Manifold for Few-Shot Classification. ECCV (26) Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
2020	J	`jnl`	Embedding Propagation: Smoother Manifold for Few-Shot Classification. CoRR Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
2020	J	`jnl`	Hierarchical Residual Attention Network for Single Image Super-Resolution. CoRR Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez
2020	J	`jnl`	LOOC: Localize Overlapping Objects with Count Supervision. CoRR Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
2020	B	`conf`	Looc: Localize Overlapping Objects with Count Supervision. ICIP Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
2020	A*	`conf`	Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
2020	J	`jnl`	Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
2020	J	`jnl`	OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. CoRR Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Jordi Gonzàlez, Carles Fernández Tena
2020	J	`jnl`	Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition. IEEE Trans. Multim. Pau Rodríguez, Diego Velazquez Dorta, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
2020	J	`jnl`	Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
2019	—	`conf`	Catastrophic Interference in Disguised Face Recognition. IbPRIA (2) Parichehr B. Ardakani, Diego Velazquez Dorta, Josep M. Gonfaus, Pau Rodríguez, F. Xavier Roca, Jordi Gonzàlez
2019	—	`—`	Towards robust neural models for fine-grained image recognition. Pau Rodríguez
2018	—	`conf`	Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery. ECCV (8) Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez
2018	J	`jnl`	Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery. CoRR Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez
2018	J	`jnl`	Beyond One-hot Encoding: lower dimensional target embedding. CoRR Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera
2018	J	`jnl`	Beyond one-hot encoding: Lower dimensional target embedding. Image Vis. Comput. Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera
2018	J	`jnl`	Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks. CoRR Guillem Cucurull, Pau Rodríguez, V. Oguz Yazici, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
2018	J	`jnl`	PRAXIS: Towards automatic cognitive assessment using gesture recognition. Expert Syst. Appl. Farhood Negin, Pau Rodríguez, Michal Koperski, Adlen Kerboua, Jordi Gonzàlez, Jeremy Bourgeois, Emmanuelle Chapoulie, Philippe Robert, François Brémond
2017	J	`jnl`	Age and gender recognition in the wild with deep attention. Pattern Recognit. Pau Rodríguez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
2017	—	`conf`	Regularizing CNNs with Locally Constrained Decorrelations. ICLR (Poster) Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca
2016	J	`jnl`	Regularizing CNNs with Locally Constrained Decorrelations. CoRR Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca
2016	—	`conf`	Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. VAAM/FFER@ICPR Marco Bellantonio, Mohammad A. Haque, Pau Rodríguez, Kamal Nasrollahi, Taisi Telve, Sergio Escalera, Jordi Gonzàlez, Thomas B. Moeslund, Pejman Rasti, Gholamreza Anbarjafari