2025
- Latent Action Diffusion for Cross-Embodiment Manipulation
Erik Bauer, Elvis Nava, Robert K. Katzschmann
arXiv preprint arXiv:2506.14608
See also: Website | Video
- mimic-one: a Scalable Model Recipe for General Purpose Robot Dexterity
Elvis Nava, Victoriano Montesinos, Erik Bauer, Benedek Forrai, Jonas Pai, Stefan Weirich, Stephan-Daniel Gravert, Philipp Wand, Stephan Polinski, Benjamin F. Grewe, Robert K. Katzschmann
arXiv preprint arXiv:2506.11916
See also: Website | Video
2024
- Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Juan Rocamonde, Victoriano Montesinos, Elvis Nava, Ethan Perez, David Lindner
In International Conference on Learning Representations, 2024
See also: Website | Blogpost | Code | Thread
2023
- Meta-Learning via Classifier(-free) Diffusion Guidance
Elvis Nava*, Seijin Kobayashi*, Yifei Yin, Robert K. Katzschmann, Benjamin F. Grewe
In Transactions on Machine Learning Research, 2023
See also: Code | Thread | Video
2022
- Sim2Real for Soft Robotic Fish via Differentiable Simulation
John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann
In International Conference on Intelligent Robots and Systems, 2022
- Fast aquatic swimmer optimization with differentiable projective dynamics and neural network hydrodynamic models
Elvis Nava, John Z. Zhang, Mike Y. Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert K. Katzschmann
In International Conference on Machine Learning, 2022
See also: Spotlight Video
- Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
Elvis Nava, Mojmír Mutný, Andreas Krause
In International Conference on Artificial Intelligence and Statistics, 2022