Bayesian probability

Using occupancy grids for mobile robot perception and navigation

Alberto Elfes

Citations: 2173 • 1989

FastSLAM: a factored solution to the simultaneous localization and mapping problem

Michael Montemerlo, Sebastian Thrun, Daphne Koller, Ben Wegbreit

Citations: 2049 • 2002

Probabilistic machine learning and artificial intelligence

Zoubin Ghahramani

Citations: 1967 • 2015

Robust Monte Carlo localization for mobile robots

Sebastian Thrun, Dieter Fox, Wolfram Burgard, Frank Dellaert

Citations: 1803 • 2001

Monte Carlo localization for mobile robots

Frank Dellaert, D. Fox, Wolfram Burgard, Sebastian Thrun

Citations: 1613 • 2003

Mixture density networks

Chris Bishop

Citations: 1273 • 1994

Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

Kevin J. Murphy, Stuart Russell

Citations: 1185 • 2001

A survey of uncertainty in deep neural networks

Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu

Citations: 1134 • 2023

Monte Carlo localization: efficient position estimation for mobile robots

Dieter Fox, Wolfram Burgard, Frank Dellaert, Sebastian Thrun

Citations: 1073 • 1999

Bayesian approach to extended object and cluster tracking using random matrices

Wolfgang Koch

Citations: 666 • 2008

Bayesian Online Changepoint Detection

Ryan P. Adams, David Mackay

Citations: 602 • 2007

Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words

Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer

Citations: 515 • 2008

Acting under uncertainty: discrete Bayesian models for mobile-robot navigation

Anthony R. Cassandra, Leslie Pack Kaelbling, James Kurien

Citations: 468 • 2002

Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter

Wei Wu, Yun Gao, Elie Bienenstock, John P. Donoghue, Michael J. Black

Citations: 459 • 2005

Bayesian Map Learning in Dynamic Environments

Kevin P. Murphy

Citations: 451 • 1999

Predictive Entropy Search for Efficient Global Optimization of Black-box Functions

José Miguel Hernández-Lobato, Matthew W. Hoffman, Zoubin Ghahramani

Citations: 400 • 2014

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Ziyu Wang, Frank Hutter, Masrour Zoghi, David S. Matheson, Nando De Feitas

Citations: 372 • 2016

Bayesian optimization for learning gaits under uncertainty

Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth

Citations: 290 • 2015

Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Citations: 283 • 2018

A General Framework for Uncertainty Estimation in Deep Learning

Citations: 272 • 2020