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Andrey Y. Lokhov

Discrete distributions are learnable from metastable samples

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Oct 17, 2024
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Learning of networked spreading models from noisy and incomplete data

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Dec 20, 2023
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Learning Energy-Based Representations of Quantum Many-Body States

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Apr 08, 2023
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High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware

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Sep 03, 2021
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Single-Qubit Fidelity Assessment of Quantum Annealing Hardware

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Apr 07, 2021
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Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics

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Apr 02, 2021
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Learning Continuous Exponential Families Beyond Gaussian

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Feb 18, 2021
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Programmable Quantum Annealers as Noisy Gibbs Samplers

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Dec 16, 2020
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Scalable Learning of Independent Cascade Dynamics from Partial Observations

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Jul 13, 2020
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Scalable Influence Estimation Without Sampling

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Dec 29, 2019
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