Tatiana Lopez-Guevara

According to our database, Tatiana Lopez-Guevara authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2023

Learning 3D Particle-based Simulators from RGB-D Videos.

William F. Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly L. Stachenfeld, Kelsey R. Allen

CoRR, 2023

Diffusion Generative Inverse Design.

Marin Vlastelica, Tatiana Lopez-Guevara, Kelsey R. Allen, Peter W. Battaglia, Arnaud Doucet, Kimberly L. Stachenfeld

CoRR, 2023

Learning rigid dynamics with face interaction graph networks.

Kelsey R. Allen, Yulia Rubanova, Tatiana Lopez-Guevara, William Whitney, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Tobias Pfaff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Conference on Robot Learning, 2022

2020

IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates.

Tatiana Lopez-Guevara, Michael Burke, Nicholas K. Taylor, Kartic Subr

CoRR, 2020

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

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

2017

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

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017