Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation. - John Z. Zhang; Yu Zhang; Pingchuan Ma 002; Elvis Nava; Tao Du 001; Philip Arm; Wojciech Matusik; Robert K. Katzschmann (CoRR, 2021)

Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes. - Elvis Nava; Mojmir Mutny; Andreas Krause 001 (AISTATS, 2022)

Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models. - Elvis Nava; John Z. Zhang; Mike Yan Michelis; Tao Du 001; Pingchuan Ma 002; Benjamin F. Grewe; Wojciech Matusik; Robert Kevin Katzschmann (ICML, 2022)

Sim2Real for Soft Robotic Fish via Differentiable Simulation. - John Z. Zhang; Yu Zhang; Pingchuan Ma 002; Elvis Nava; Tao Du 001; Philip Arm; Wojciech Matusik; Robert K. Katzschmann (IROS, 2022)

Meta-Learning via Classifier(-free) Guidance. - Elvis Nava; Seijin Kobayashi; Yifei Yin; Robert K. Katzschmann; Benjamin F. Grewe (CoRR, 2022)

Meta-Learning via Classifier(-free) Diffusion Guidance. - Elvis Nava; Seijin Kobayashi; Yifei Yin; Robert K. Katzschmann; Benjamin F. Grewe (Trans. Mach. Learn. Res., 2023)

Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning. - Juan Rocamonde; Victoriano Montesinos; Elvis Nava; Ethan Perez; David Lindner (ICLR, 2024)

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 (CoRR, 2025)

Latent Action Diffusion for Cross-Embodiment Manipulation. - Erik Bauer; Elvis Nava; Robert K. Katzschmann (CoRR, 2025)