Characterizing chronic disease and polymedication prescription patterns from electronic health records. - Martí Zamora; Manel Baradad; Ester Amado; Silvia Cordomi; Esther Limon; Juliana Ribera; Marta Arias; Ricard Gavaldà (DSAA, 2015)

Recurrent Neural Networks for Semantic Instance Segmentation. - Amaia Salvador; Miriam Bellver; Manel Baradad; Ferran Marqués; Jordi Torres; Xavier Giró-i-Nieto (CoRR, 2017)

Inferring Light Fields From Shadows. - Manel Baradad; Vickie Ye; Adam B. Yedidia; Frédo Durand; William T. Freeman; Gregory W. Wornell; Antonio Torralba 001 (CVPR, 2018)

Using Unknown Occluders to Recover Hidden Scenes. - Adam B. Yedidia; Manel Baradad; Christos Thrampoulidis; William T. Freeman; Gregory W. Wornell (CVPR, 2019)

Height and Uprightness Invariance for 3D Prediction From a Single View. - Manel Baradad; Antonio Torralba 001 (CVPR, 2020)

Learning to See by Looking at Noise. - Manel Baradad Jurjo; Jonas Wulff; Tongzhou Wang 001; Phillip Isola; Antonio Torralba 001 (NeurIPS, 2021)

Procedural Image Programs for Representation Learning. - Manel Baradad; Chun-Fu Richard Chen; Jonas Wulff; Tongzhou Wang 001; Rogério Feris; Antonio Torralba 001; Phillip Isola (NeurIPS, 2022)

Deep Augmentation: Enhancing Self-Supervised Learning through Transformations in Higher Activation Space. - Rickard Brüel Gabrielsson; Tongzhou Wang 001; Manel Baradad; Justin Solomon 001 (CoRR, 2023)

Background Prompting for Improved Object Depth. - Manel Baradad; Yuanzhen Li; Forrester Cole; Michael Rubinstein; Antonio Torralba 001; William T. Freeman; Varun Jampani (CoRR, 2023)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Adrián Rodríuez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001; Stephanie Fu (CVPR, 2024)

A Vision Check-up for Language Models. - Pratyusha Sharma; Tamar Rott Shaham; Manel Baradad; Stephanie Fu; Adrián Rodríguez-Muñoz; Shivam Duggal; Phillip Isola; Antonio Torralba 001 (CoRR, 2024)

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning. - Rickard Brüel Gabrielsson; Tongzhou Wang 001; Manel Baradad; Justin Solomon 001 (Trans. Mach. Learn. Res., 2025)

Separating Knowledge and Perception with Procedural Data. - Adrián Rodríguez-Muñoz; Manel Baradad; Phillip Isola; Antonio Torralba 001 (CoRR, 2025)