Luis Pineda

24 papers A* 4A 2Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
DexterityGen: Foundation Controller for Unprecedented Dexterity.
CoRR
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, Pieter Abbeel, Mustafa Mukadam
2025 A conf
Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm.
IROS
Zhao-Heng Yin, Changhao Wang, Luis Pineda, Chaithanya Krishna Bodduluri, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam
2025 J jnl
Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm.
CoRR
Zhao-Heng Yin, Changhao Wang, Luis Pineda, Chaithanya Krishna Bodduluri, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam
2024 J jnl
NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation.
Sci. Robotics
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023 J jnl
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation.
CoRR
Sudharshan Suresh, Haozhi Qi, Tingfan Wu, Taosha Fan, Luis Pineda, Mike Lambeta, Jitendra Malik, Mrinal Kalakrishnan, Roberto Calandra, Michael Kaess, Joseph Ortiz, Mustafa Mukadam
2023 J jnl
Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies.
CoRR
Carolina Higuera, Joseph Ortiz, Haozhi Qi, Luis Pineda, Byron Boots, Mustafa Mukadam
2022 J jnl
K-level Reasoning for Zero-Shot Coordination in Hanabi.
CoRR
Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
2022 — conf
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.
MIDL
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
2022 J jnl
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction.
CoRR
Tim Bakker, Matthew J. Muckley, Adriana Romero-Soriano, Michal Drozdzal, Luis Pineda
2022 A* conf
Theseus: A Library for Differentiable Nonlinear Optimization.
NeurIPS
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, Brandon Amos, Mustafa Mukadam
2022 J jnl
Theseus: A Library for Differentiable Nonlinear Optimization.
CoRR
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, Brandon Amos, Mustafa Mukadam
2021 A* conf
Active 3D Shape Reconstruction from Vision and Touch.
NeurIPS
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero-Soriano, Michal Drozdzal
2021 J jnl
Active 3D Shape Reconstruction from Vision and Touch.
CoRR
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal
2021 A* conf
K-level Reasoning for Zero-Shot Coordination in Hanabi.
NeurIPS
Brandon Cui, Hengyuan Hu, Luis Pineda, Jakob N. Foerster
2021 J jnl
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.
CoRR
Luis Pineda, Brandon Amos, Amy Zhang, Nathan O. Lambert, Roberto Calandra
2021 A* conf
Off-Belief Learning.
ICML
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, Noam Brown, Jakob N. Foerster
2021 J jnl
Off-Belief Learning.
CoRR
Hengyuan Hu, Adam Lerer, Brandon Cui, Luis Pineda, David J. Wu, Noam Brown, Jakob N. Foerster
2021 A conf
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning.
AISTATS
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2021 J jnl
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning.
CoRR
Baohe Zhang, Raghu Rajan, Luis Pineda, Nathan O. Lambert, André Biedenkapp, Kurtland Chua, Frank Hutter, Roberto Calandra
2020 — conf
Active MR k-space Sampling with Reinforcement Learning.
MICCAI (2)
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2020 J jnl
Active MR k-space Sampling with Reinforcement Learning.
CoRR
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal
2019 J jnl
Elucidating image-to-set prediction: An analysis of models, losses and datasets.
CoRR
Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero
2019 J jnl
Learning Causal State Representations of Partially Observable Environments.
CoRR
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello
2019 J jnl
On the Evaluation of Conditional GANs.
CoRR
Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal