Related references
Note: Only part of the references are listed.Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems
Pierre E. Jacob et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2018)
Prediction and real-time compensation of qubit decoherence via machine learning
Sandeep Mavadia et al.
NATURE COMMUNICATIONS (2017)
Optimized quantum sensing with a single electron spin using real-time adaptive measurements
C. Bonato et al.
NATURE NANOTECHNOLOGY (2016)
Practical Bayesian tomography
Christopher Granade et al.
NEW JOURNAL OF PHYSICS (2016)
Estimation of a general time-dependent Hamiltonian for a single qubit
L. E. de Clercq et al.
NATURE COMMUNICATIONS (2016)
Ensemble Kalman Filtering without a Model
Franz Hamilton et al.
PHYSICAL REVIEW X (2016)
Experimental adaptive quantum tomography of two-qubit states
G. I. Struchalin et al.
PHYSICAL REVIEW A (2016)
Characterization of decohering quantum systems: Machine learning approach
Markku P. V. Stenberg et al.
PHYSICAL REVIEW A (2016)
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study
Changqing Cheng et al.
IIE TRANSACTIONS (2015)
Understanding kernel ridge regression: Common behaviors from simple functions to density functionals
Kevin Vu et al.
INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY (2015)
Prediction and Retrodiction for a Continuously Monitored Superconducting Qubit
D. Tan et al.
PHYSICAL REVIEW LETTERS (2015)
Experimental bath engineering for quantitative studies of quantum control
A. Soare et al.
PHYSICAL REVIEW A (2014)
Suppressing qubit dephasing using real-time Hamiltonian estimation
M. D. Shulman et al.
NATURE COMMUNICATIONS (2014)
Reconstructing propagation networks with natural diversity and identifying hidden sources
Zhesi Shen et al.
NATURE COMMUNICATIONS (2014)
Real-Time Inflation Forecasting in a Changing World
Jan J. J. Groen et al.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2013)
Adaptive Quantum State Tomography Improves Accuracy Quadratically
D. H. Mahler et al.
PHYSICAL REVIEW LETTERS (2013)
Gaussian processes for time-series modelling
S. Roberts et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2013)
How to best sample a periodic probability distribution, or on the accuracy of Hamiltonian finding strategies
Christopher Ferrie et al.
QUANTUM INFORMATION PROCESSING (2013)
A Hybrid Approach for Short-Term Forecasting of Wind Speed
Sivanagaraja Tatinati et al.
SCIENTIFIC WORLD JOURNAL (2013)
Characterization of a qubit Hamiltonian using adaptive measurements in a fixed basis
Alexandr Sergeevich et al.
PHYSICAL REVIEW A (2011)
Efficient Measurement of Quantum Dynamics via Compressive Sensing
A. Shabani et al.
PHYSICAL REVIEW LETTERS (2011)
Unscented Kalman filter for time varying spectral analysis of earthquake ground motions
Dong Yinfeng et al.
APPLIED MATHEMATICAL MODELLING (2009)
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Jonathan Ko et al.
AUTONOMOUS ROBOTS (2009)
Real-time implementation of adaptive feedback and feedforward generalized predictive control algorithm
Suk-Min Moon et al.
JOURNAL OF SOUND AND VIBRATION (2006)
Learning graphical models for stationary time series
FR Bach et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2004)
Share Paper
