conftrace_

kalman filter

80 papers

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Also known as

KF

Co-occurring keywords

state estimation (113) bayesian inference (1907) variational inference (2069) state space model (390) kalman filtering (17) multi-object tracking (191) recurrent neural network (1790) linear dynamical system (86) sensor fusion (249) online learning (1777)

Papers

Online Estimation and Control with Optimal Pathlength Regret L4DC 2022
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022
Modeling Irregular Time Series with Continuous Recurrent Units ICML 2022
Latent Matters: Learning Deep State-Space Models NIPS 2021
Regret-Optimal Filtering AISTATS 2021
Neural optimal feedback control with local learning rules NIPS 2021
PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components UAI 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NIPS 2021
Sparse Algorithms for Markovian Gaussian Processes AISTATS 2021
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events CORL 2021
An Asynchronous Kalman Filter for Hybrid Event Cameras ICCV 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
A Partitioned-Block Frequency-Domain Adaptive Kalman Filter for Stereophonic Acoustic Echo Cancellation INTERSPEECH 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021
A Deep Learning-Based Kalman Filter for Speech Enhancement INTERSPEECH 2020
SLIP: Learning to predict in unknown dynamical systems with long-term memory NIPS 2020
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models UAI 2020
Improving Partition-Block-Based Acoustic Echo Canceler in Under-Modeling Scenarios INTERSPEECH 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis NIPS 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
Real-Time Multi-Person Pose Tracking using Data Assimilation WACV 2020
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NIPS 2019
Improving Full-Body Pose Estimation from a Small Sensor Set Using Artificial Neural Networks and a Kalman Filter AAAI 2019
Combining Generative and Discriminative Models for Hybrid Inference NIPS 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019