conftrace_

state estimation

113 papers

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Co-occurring keywords

kalman filter (80) sensor fusion (249) particle filter (86) dynamical system (398) simultaneous localization and mapping (150) bayesian inference (1907) partially observable markov decision process (178) gaussian process (1200) variational inference (2069) recurrent neural network (1790)

Papers

Learning Object Manipulation Skills via Approximate State Estimation from Real Videos CORL 2020
Multiplicative Gaussian Particle Filter AISTATS 2020
Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles EMNLP 2020
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty AAAI 2020
Action Graphs for Goal Recognition Problems with Inaccurate Initial States (Student Abstract) AAAI 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
Assisted Perception: Optimizing Observations to Communicate State CORL 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions CORL 2020
Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract) IJCAI 2020
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces RSS 2019
Idiothetic Verticality Estimation through Head Stabilization Strategy RSS 2019
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points ICCV 2019
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NIPS 2019
VIMO: Simultaneous Visual Inertial Model-Based Odometry and Force Estimation RSS 2019
Alternating-Stereo VINS: Observability Analysis and Performance Evaluation CVPR 2018
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger NIPS 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors RSS 2018
Particle Filter Networks with Application to Visual Localization CORL 2018
FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback INTERSPEECH 2018
Inverse Filtering for Hidden Markov Models NIPS 2017
Trajectory Optimization for Self-Calibration and Navigation RSS 2017
Learning to See Physics via Visual De-animation NIPS 2017
Multi-Task Correlation Particle Filter for Robust Object Tracking CVPR 2017
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs NIPS 2017
Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017