Andrey Y. Lokhov

According to our database1, Andrey Y. Lokhov authored at least 21 papers between 2013 and 2020.

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Bibliography

2020
Mobility Map Inference from Thermal Modeling of a Building.
CoRR, 2020

Scalable Learning of Independent Cascade Dynamics from Partial Observations.
CoRR, 2020

Learning of Discrete Graphical Models with Neural Networks.
CoRR, 2020

Information Theoretic Optimal Learning of Gaussian Graphical Models.
Proceedings of the Conference on Learning Theory, 2020

2019
Scalable Influence Estimation Without Sampling.
CoRR, 2019

Efficient Learning of Discrete Graphical Models.
CoRR, 2019

2018
Quantum Algorithm Implementations for Beginners.
CoRR, 2018

Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Optimal deployment of resources for maximizing impact in spreading processes.
Proc. Natl. Acad. Sci. USA, 2017

Online Learning of Power Transmission Dynamics.
CoRR, 2017

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization.
CoRR, 2017

Integrated multi-scale data analytics and machine learning for the distribution grid.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

State and noise covariance estimation in power grids using limited nodal PMUs.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Optimal structure and parameter learning of Ising models.
CoRR, 2016

Detection of faults and intrusions in cyber-physical systems from physical correlations.
CoRR, 2016

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Reconstructing Parameters of Spreading Models from Partial Observations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Detection of Cyber-Physical Faults and Intrusions from Physical Correlations.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Efficient reconstruction of transmission probabilities in a spreading process from partial observations.
CoRR, 2015

2014
Dynamic message-passing equations for models with unidirectional dynamics.
CoRR, 2014

2013
Inferring the origin of an epidemy with dynamic message-passing algorithm
CoRR, 2013


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