Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation. - Tatiana Lopez-Guevara; Nicholas K. Taylor; Michael U. Gutmann; Subramanian Ramamoorthy; Kartic Subr (CoRL, 2017)

To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions. - Tatiana Lopez-Guevara; Rita Pucci; Nicholas K. Taylor; Michael U. Gutmann; Subramanian Ramamoorthy; Kartic Subr (CoRR, 2019)

Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions. - Tatiana Lopez-Guevara; Rita Pucci; Nicholas K. Taylor; Michael U. Gutmann; Subramanian Ramamoorthy; Kartic Subr (IROS, 2020)

IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. - Tatiana Lopez-Guevara; Michael Burke; Nicholas K. Taylor; Kartic Subr (CoRR, 2020)

Graph network simulators can learn discontinuous, rigid contact dynamics. - Kelsey R. Allen; Tatiana Lopez-Guevara; Yulia Rubanova; Kimberly L. Stachenfeld; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Tobias Pfaff (CoRL, 2022)

Inverse Design for Fluid-Structure Interactions using Graph Network Simulators. - Kelsey R. Allen; Tatiana Lopez-Guevara; Kimberly L. Stachenfeld; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Jessica B. Hamrick; Tobias Pfaff (NeurIPS, 2022)

Physical Design using Differentiable Learned Simulators. - Kelsey R. Allen; Tatiana Lopez-Guevara; Kimberly L. Stachenfeld; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Jessica B. Hamrick; Tobias Pfaff (CoRR, 2022)

Learning rigid dynamics with face interaction graph networks. - Kelsey R. Allen; Yulia Rubanova; Tatiana Lopez-Guevara; William Whitney 001; Alvaro Sanchez-Gonzalez; Peter W. Battaglia; Tobias Pfaff (ICLR, 2023)

Diffusion Generative Inverse Design. - Marin Vlastelica; Tatiana Lopez-Guevara; Kelsey R. Allen; Peter W. Battaglia; Arnaud Doucet; Kimberly L. Stachenfeld (CoRR, 2023)

Learning 3D Particle-based Simulators from RGB-D Videos. - William F. Whitney; Tatiana Lopez-Guevara; Tobias Pfaff; Yulia Rubanova; Thomas Kipf; Kim Stachenfeld; Kelsey R. Allen (ICLR, 2024)

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision. - Yulia Rubanova; Tatiana Lopez-Guevara; Kelsey R. Allen; Will Whitney; Kimberly L. Stachenfeld; Tobias Pfaff (NeurIPS, 2024)

Scaling Face Interaction Graph Networks to Real World Scenes. - Tatiana Lopez-Guevara; Yulia Rubanova; William F. Whitney; Tobias Pfaff; Kimberly L. Stachenfeld; Kelsey R. Allen (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Carl Doersch; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; et al. (CoRR, 2024)

Motion Prompting: Controlling Video Generation with Motion Trajectories. - Daniel Geng; Charles Herrmann; Junhwa Hur; Forrester Cole; Serena Zhang; Tobias Pfaff; Tatiana Lopez-Guevara; Yusuf Aytar; Michael Rubinstein; Chen Sun 002; Oliver Wang; Andrew Owens; et al. (CVPR, 2025)