Tatiana L贸pez-Guevara

Follow

Generating author description...

All published works
Action Title Year Authors
+ PDF Chat Motion Prompting: Controlling Video Generation with Motion Trajectories 2024 Daniel Geng
Charles Herrmann
Junhwa Hur
Forrester Cole
Serena Zhang
Tobias Pfaff
Tatiana L贸pez-Guevara
Carl Doersch
Yusuf Aytar
Michael Rubinstein
+ PDF Chat Learning rigid-body simulators over implicit shapes for large-scale scenes and vision 2024 Yulia Rubanova
Tatiana L贸pez-Guevara
Kelsey R. Allen
WILLIAM F. WHITNEY
Kimberly Stachenfeld
Tobias Pfaff
+ Scaling Face Interaction Graph Networks to Real World Scenes 2024 Tatiana L贸pez-Guevara
Yulia Rubanova
WILLIAM F. WHITNEY
Tobias Pfaff
Kimberly Stachenfeld
Kelsey R. Allen
+ Diffusion Generative Inverse Design 2023 Marin Vlastelica
Tatiana L贸pez-Guevara
Kelsey R. Allen
Peter Battaglia
Arnaud Doucet
Kimberley Stachenfeld
+ Learning 3D Particle-based Simulators from RGB-D Videos 2023 WILLIAM F. WHITNEY
Tatiana L贸pez-Guevara
Tobias Pfaff
Yulia Rubanova
Thomas Kipf
Kimberly Stachenfeld
Kelsey R. Allen
+ Physical Design using Differentiable Learned Simulators 2022 Kelsey R. Allen
Tatiana L贸pez-Guevara
Kimberly Stachenfeld
脕lvaro S谩nchez鈥怗onz谩lez
Peter Battaglia
Jessica B. Hamrick
Tobias Pfaff
+ Learning rigid dynamics with face interaction graph networks 2022 Kelsey R. Allen
Yulia Rubanova
Tatiana L贸pez-Guevara
William Dwight Whitney
脕lvaro S谩nchez鈥怗onz谩lez
Peter Battaglia
Tobias Pfaff
+ IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates. 2020 Tatiana L贸pez-Guevara
Michael Burke
N. Taylor
Kartic Subr
+ IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates 2020 Tatiana L贸pez-Guevara
Michael Burke
N. Taylor
Kartic Subr
+ To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions 2019 Tatiana L贸pez-Guevara
Rita Pucci
N. Taylor
Michael U. Gutmann
Subramanian Ramamoorthy
Kartic Subr
+ PDF Chat To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions 2019 Tatiana L贸pez-Guevara
Rita Pucci
Nicholas Taylor
Michael U. Gutmann
Subramanian Ramamoorthy
Kartic Subr
+ To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions 2019 Tatiana L贸pez-Guevara
Rita Pucci
Nicholas Taylor
Michael U. Gutmann
Subramanian Ramamoorthy
Kartic Subr
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Fundamentals and Recent Developments in Approximate Bayesian Computation 2016 Jarno Lintusaari
Michael U. Gutmann
Ritabrata Dutta
Samuel Kaski
Jukka Corander
1
+ Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows 2018 George Papamakarios
David C. Sterratt
Iain Murray
1
+ Reasoning About Liquids via Closed-Loop Simulation 2017 Connor Schenck
Dieter Fox
1
+ PDF Chat Active Model Learning and Diverse Action Sampling for Task and Motion Planning 2018 Zi Wang
Caelan Reed Garrett
Leslie Pack Kaelbling
Tom谩s Lozano鈥怭茅rez
1
+ BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators 2019 F谩bio Ramos
Rafael Possas
Dieter Fox
1
+ PDF Chat Motion planning for fluid manipulation using simplified dynamics 2016 Zherong Pan
Dinesh Manocha
1
+ PDF Chat Visual closed-loop control for pouring liquids 2017 Connor Schenck
Dieter Fox
1
+ Fast $蔚$-free Inference of Simulation Models with Bayesian Conditional Density Estimation 2016 George Papamakarios
Iain Murray
1
+ PDF Chat Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience 2019 Yevgen Chebotar
Ankur Handa
Viktor Makoviychuk
Miles Macklin
Jan Issac
Nathan Ratliff
Dieter Fox
1
+ Solving Rubik's Cube with a Robot Hand 2019 OpenAI
Ilge Akkaya
Marcin Andrychowicz
Maciek Chociej
Mateusz Litwin
Bob McGrew
Arthur J Petron
Alex Paino
Matthias Plappert
Glenn Powell
1
+ The frontier of simulation-based inference 2019 K. Cranmer
Johann Brehmer
Gilles Louppe
1
+ PDF Chat Learning dexterous in-hand manipulation 2019 OpenAI Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafa艂 J贸zefowicz
Bob McGrew
Jakub Pachocki
Arthur J Petron
Matthias Plappert
Glenn Powell
Alex Ray
1
+ Learning Compositional Koopman Operators for Model-Based Control 2020 Yunzhu Li
Hao He
Jiajun Wu
Dina Katabi
Antonio Torralba
1
+ Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction 2020 Vincent Le Guen
Nicolas Thome
1
+ On Contrastive Learning for Likelihood-free Inference 2020 Conor Durkan
Iain Murray
George Papamakarios
1
+ PDF Chat Learning compositional models of robot skills for task and motion planning 2021 Zi Wang
Caelan Reed Garrett
Leslie Pack Kaelbling
Tom谩s Lozano鈥怭茅rez
1
+ PDF Chat NewtonianVAE: Proportional Control and Goal Identification from Pixels via Physical Latent Spaces 2021 Miguel Jaques
Michael Burke
Timothy M. Hospedales
1