Co-occurring keywords · papers mentioning both
Papers
CoRE-Learning with Look-Ahead and Immediate Resource Allocation
AAAI 2026
Computation-Aware Kalman Filtering and Smoothing
AISTATS 2025
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
NeurIPS 2024
Outlier-robust Kalman Filtering through Generalised Bayes
ICML 2024
Kalman Bayesian Neural Networks for Closed-Form Online Learning
AAAI 2023
Markovian Gaussian Process Variational Autoencoders
ICML 2023
Clock Skew Robust Acoustic Echo Cancellation
Interspeech 2022
Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments
Interspeech 2022
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning
L4DC 2021
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering
CVPR 2020
Sample Complexity of Kalman Filtering for Unknown Systems
L4DC 2020
Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement
Interspeech 2020
Infinite-Horizon Gaussian Processes
NeurIPS 2018
Kalman Normalization: Normalizing Internal Representations Across Network Layers
NeurIPS 2018
A Linear Dynamical System Model for Text
ICML 2015
State Space Methods for Efficient Inference in Student-t Process Regression
AISTATS 2015
Extended and Unscented Gaussian Processes
NeurIPS 2014
Approximate inference in latent Gaussian-Markov models from continuous time observations
NeurIPS 2013
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
AISTATS 2012
A Neural Implementation of the Kalman Filter
NeurIPS 2009
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
NeurIPS 2006