Elucidating image-to-set prediction: An analysis of models, losses and datasets. - Luis Pineda; Amaia Salvador; Michal Drozdzal; Adriana Romero (CoRR, 2019)

Learning Causal State Representations of Partially Observable Environments. - Amy Zhang 001; Zachary C. Lipton; Luis Pineda; Kamyar Azizzadenesheli; Anima Anandkumar; Laurent Itti; Joelle Pineau; Tommaso Furlanello (CoRR, 2019)

On the Evaluation of Conditional GANs. - Terrance DeVries; Adriana Romero; Luis Pineda; Graham W. Taylor; Michal Drozdzal (CoRR, 2019)

Active MR k-space Sampling with Reinforcement Learning. - Luis Pineda; Sumana Basu; Adriana Romero; Roberto Calandra; Michal Drozdzal (MICCAI (2), 2020)

On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning. - Baohe Zhang; Raghu Rajan; Luis Pineda; Nathan O. Lambert; André Biedenkapp; Kurtland Chua; Frank Hutter; Roberto Calandra (AISTATS, 2021)

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; Noam Brown; Jakob N. Foerster (ICML, 2021)

K-level Reasoning for Zero-Shot Coordination in Hanabi. - Brandon Cui; Hengyuan Hu; Luis Pineda; Jakob N. Foerster (NeurIPS, 2021)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero-Soriano; Michal Drozdzal (NeurIPS, 2021)

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; David J. Wu 002; Noam Brown; Jakob N. Foerster (CoRR, 2021)

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning. - Luis Pineda; Brandon Amos; Amy Zhang 001; Nathan O. Lambert; Roberto Calandra (CoRR, 2021)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero; Michal Drozdzal (CoRR, 2021)

On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction. - Tim Bakker; Matthew J. Muckley; Adriana Romero-Soriano; Michal Drozdzal; Luis Pineda (MIDL, 2022)

Theseus: A Library for Differentiable Nonlinear Optimization. - Luis Pineda; Taosha Fan; Maurizio Monge; Shobha Venkataraman; Paloma Sodhi; Ricky T. Q. Chen; Joseph Ortiz; Daniel DeTone; Austin S. Wang; Stuart Anderson; Jing Dong 002; Brandon Amos; et al. (NeurIPS, 2022)

Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies. - Carolina Higuera; Joseph Ortiz; Haozhi Qi; Luis Pineda; Byron Boots; Mustafa Mukadam (CoRR, 2023)

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (CoRR, 2023)

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation. - Sudharshan Suresh; Haozhi Qi; Tingfan Wu; Taosha Fan; Luis Pineda; Mike Lambeta; Jitendra Malik; Mrinal Kalakrishnan; Roberto Calandra; Michael Kaess; Joseph Ortiz; Mustafa Mukadam (Sci. Robotics, 2024)

DexterityGen: Foundation Controller for Unprecedented Dexterity. - Zhao-Heng Yin; Changhao Wang; Luis Pineda; Francois Robert Hogan; Chaithanya Krishna Bodduluri; Akash Sharma; Patrick Lancaster; Ishita Prasad; Mrinal Kalakrishnan; Jitendra Malik; Mike Lambeta; Tingfan Wu; et al. (CoRR, 2025)

Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm. - Zhao-Heng Yin; Changhao Wang; Luis Pineda; Chaithanya Krishna Bodduluri; Tingfan Wu; Pieter Abbeel; Mustafa Mukadam (CoRR, 2025)