Latent variable

Stochastic Adversarial Video Prediction

Alex X. Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, Sergey Levine

Citations: 226 • 2018

Semiparametric Latent Factor Models

Yee Whye Teh, Matthias Seeger, Michael I. Jordan

Citations: 202 • 2005

Learning Shared Latent Structure for Image Synthesis and Robotic Imitation

Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao

Citations: 183 • 2005

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

Citations: 105 • 2018

Backprop KF: Learning Discriminative Deterministic State Estimators

Tuomas Haarnoja, Anurag Ajay, Sergey Levine, Pieter Abbeel

Citations: 102 • 2016

Trajectory Prediction with Latent Belief Energy-Based Model

Bo Pang, Tianyang Zhao, Xu Xie, Ying Wu

Citations: 84 • 2021

Particle Filter Recurrent Neural Networks

Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee

Citations: 84 • 2020

Learning GP-BayesFilters via Gaussian process latent variable models

Jonathan Ko, Dieter Fox

Citations: 77 • 2010

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Martin Engelcke, Adam R. Kosiorek, Ōiwi Parker Jones, Ingmar Posner

Citations: 73 • 2019

Backprop KF: learning discriminative deterministic state estimators

Tuomas Haarnoja, Anurag Ajay, Sergey Levine, Pieter Abbeel

Citations: 72 • 2016

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations

Martin Engelcke, Adam R. Kosiorek, Ōiwi Parker Jones, Ingmar Posner

Citations: 72 • 2020

Robotic imitation for human motion capture using gaussian processes

Aaron P. Shon, Keith Grochow, Rajesh P. N. Rao

Citations: 71 • 2006

Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias

Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi, Lerrel Pinto

Citations: 61 • 2018

Variational Gaussian Process Dynamical Systems

Andreas Damianou, Michalis K. Titsias, Neil D. Lawrence

Citations: 57 • 2011

Multivariate discretization for Bayesian Network structure learning in robot grasping

Dan Song, Carl Henrik Ek, Kai Huebner, Danica Kragić

Citations: 57 • 2011

Planning with Goal-Conditioned Policies

Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine

Citations: 53 • 2019

Latent spaces for dynamic movement primitives

Sebastian Bitzer, Sethu Vijayakumar

Citations: 48 • 2009

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

Masashi Okada, Tadahiro Taniguchi

Citations: 41 • 2021

Extracting low-dimensional control variables for movement primitives

Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann

Citations: 40 • 2015

Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network

Takazumi Matsumoto, Jun Tani

Citations: 38 • 2020