Latent variable model

Related papers: 20

Top Cited Papers

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

Robotic imitation for human motion capture using gaussian processes

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

Citations: 71 • 2006

Latent spaces for dynamic movement primitives

Sebastian Bitzer, Sethu Vijayakumar

Citations: 48 • 2009

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

Takazumi Matsumoto, Jun Tani

Citations: 38 • 2020

Switched Latent Force Models for Movement Segmentation

Mauricio A. Álvarez, Jan Peters, Neil D. Lawrence, Bernhard Schölkopf

Citations: 36 • 2010

Modeling Aspects of Theory of Mind with Markov Random Fields

Jesse Butterfield, Odest Chadwicke Jenkins, David M. Sobel, Jonas Schwertfeger

Citations: 34 • 2008

Learning to Fly via Deep Model-Based Reinforcement Learning

Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt

Citations: 24 • 2020

Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance

Nishanth Koganti, Jimson Ngeo, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata

Citations: 23 • 2015

Meta Reinforcement Learning with Latent Variable Gaussian Processes

Steindór Sæmundsson, Katja Hofmann, Marc Peter Deisenroth

Citations: 21 • 2018

Introduction to latent variable energy-based models: a path toward autonomous machine intelligence

Anna Dawid, Yann LeCun

Citations: 20 • 2024

Learning GP-BayesFilters via Gaussian process latent variable models

Jonathan Ko, D. Fox

Citations: 13 • 2009

Learning Robot Skills with Temporal Variational Inference

Tanmay Shankar, Abhinav Gupta

Citations: 13 • 2020

Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model

Nishanth Koganti, Tomohiro Shibata, Tomoya Tamei, Kazushi Ikeda

Citations: 12 • 2019

Probabilistic consolidation of grasp experience

Yasemin Bekiroglu, Andreas Damianou, Renaud Detry, Johannes A. Stork, Danica Kragić, Carl Henrik Ek

Citations: 11 • 2016

TPPO: A Novel Trajectory Predictor with Pseudo Oracle

Biao Yang, Pin Wang, Ching‐Yao Chan, Xiaofeng Liu, Yang Chen

Citations: 8 • 2020

Task modeling in imitation learning using latent variable models

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

Citations: 7 • 2010

Learning Sequential Latent Variable Models from Multimodal Time Series Data

Oliver Limoyo, Trevor Ablett, Jonathan Kelly

Citations: 5 • 2023

Structured Representation Using Latent Variable Models

Cheng Zhang

Citations: 4 • 2016

Minimum uncertainty latent variable models for robot recognition of sequential human activities

Fei Han, Christopher Reardon, Lynne E. Parker, Hao Zhang

Citations: 4 • 2017