Andrey Y. Lokhov
Identifiers
- name variant Andrey Y. Lokhov 0.60 · backfill
Papers (43)
- Finite Sample Bounds for Learning with Score Matching cs.LG · 2026 · author #5
- Symmetric Linear Dynamical Systems are Learnable from Few Observations stat.ML · 2025 · author #2
- Autoregressive pairwise Graphical Models efficiently find ground state representations of stoquastic Hamiltonians quant-ph · 2025 · author #6
- Learning response functions of analog quantum computers: analysis of neutral-atom and superconducting platforms quant-ph · 2025 · author #5
- Discrete distributions are learnable from metastable samples stat.ML · 2024 · author #2
- Potential Applications of Quantum Computing at Los Alamos National Laboratory quant-ph · 2024 · author #10
- Learning of networked spreading models from noisy and incomplete data cs.SI · 2023 · author #2
- Forced oscillation source localization from generator measurements eess.SY · 2023 · author #3
- Universal framework for simultaneous tomography of quantum states and SPAM noise quant-ph · 2023 · author #4
- Learning Energy-Based Representations of Quantum Many-Body States quant-ph · 2023 · author #3
- Locating the source of forced oscillations in transmission power grids nlin.AO · 2022 · author #2
- On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization math.OC · 2022 · author #5
- Congruity of genomic and epidemiological data in modeling of local cholera outbreaks q-bio.QM · 2022 · author #8
- Vector Field Visualization of Single-Qubit State Tomography quant-ph · 2022 · author #3
- High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware quant-ph · 2021 · author #3
- Single-Qubit Cross Platform Comparison of Quantum Computing Hardware quant-ph · 2021 · author #4
- Single-Qubit Fidelity Assessment of Quantum Annealing Hardware quant-ph · 2021 · author #3
- Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics cs.LG · 2021 · author #2
- Learning Continuous Exponential Families Beyond Gaussian cs.LG · 2021 · author #4
- Programmable Quantum Annealers as Noisy Gibbs Samplers quant-ph · 2020 · author #4
- Data-driven Selection of Coarse-Grained Models of Coupled Oscillators nlin.AO · 2020 · author #3
- Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations cs.SI · 2020 · author #2
- Learning of Discrete Graphical Models with Neural Networks cs.LG · 2020 · author #2
- Reducing urban traffic congestion due to localized routing decisions physics.soc-ph · 2020 · author #3
- Scalable Influence Estimation Without Sampling cs.SI · 2019 · author #1
- The Potential of Quantum Annealing for Rapid Solution Structure Identification math.OC · 2019 · author #3
- Real-time Anomaly Detection and Classification in Streaming PMU Data eess.SP · 2019 · author #5
- Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes physics.soc-ph · 2019 · author #3
- Efficient Learning of Discrete Graphical Models cs.LG · 2019 · author #3
- Quantum Algorithm Implementations for Beginners cs.ET · 2018 · author #34
- Online Learning of Power Transmission Dynamics cs.SY · 2017 · author #1
- Information Theoretic Optimal Learning of Gaussian Graphical Models cs.LG · 2017 · author #3
- Optimal structure and parameter learning of Ising models cond-mat.stat-mech · 2016 · author #1
- Reconstructing parameters of spreading models from partial observations cs.SI · 2016 · author #1
- Optimal Deployment of Resources for Maximizing Impact in Spreading Processes cs.SI · 2016 · author #1
- Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models cs.LG · 2016 · author #3
- Detection of Cyber-Physical Faults and Intrusions from Physical Correlations cs.SY · 2016 · author #1
- Efficient reconstruction of transmission probabilities in a spreading process from partial observations physics.soc-ph · 2015 · author #1
- A cavity approach to optimization and inverse dynamical problems cond-mat.dis-nn · 2014 · author #2
- Dynamic message-passing equations for models with unidirectional dynamics cond-mat.dis-nn · 2014 · author #1
- Topological transition in disordered planar matching: combinatorial arcs expansion cond-mat.stat-mech · 2014 · author #1
- New phase transition in random planar diagrams and RNA-type matching cond-mat.stat-mech · 2013 · author #1
- Inferring the origin of an epidemic with a dynamic message-passing algorithm physics.soc-ph · 2013 · author #1
Mentions
- 2505.06798 #6 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2410.13800 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2503.12520 #5 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2308.15648 #4 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2310.00458 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2401.00011 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2211.16064 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2304.04058 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2210.01956 #8 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2104.00995 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2012.08827 #4 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1804.03719 #34 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2210.04291 #5 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2109.01690 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1608.08278 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2205.02483 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2102.09198 #4 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1902.00600 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2108.11334 #4 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2007.06557 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2104.03335 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1905.04416 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2009.10107 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2006.11937 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1912.01759 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2002.10298 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1912.12749 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1911.06316 #5 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1703.04886 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1612.05024 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1605.07252 #3 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1608.08698 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1509.06893 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1407.1255 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1406.5537 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1307.2170 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1303.5315 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1409.6531 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2512.05337 #2 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 2406.06625 #10 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1509.06893 #1 · backfill · confidence 0.70 Andrey Y. Lokhov
- 1710.10021 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1602.06604 #1 · arxiv_oai · confidence 0.70 Andrey Y. Lokhov
- 1409.6531 #2 · backfill · confidence 0.70 Andrey Y. Lokhov
- 1407.1255 #1 · backfill · confidence 0.70 Andrey Y. Lokhov
- 1406.5537 #1 · backfill · confidence 0.70 Andrey Y. Lokhov
- 1307.2170 #1 · backfill · confidence 0.70 Andrey Y. Lokhov
- 1303.5315 #1 · backfill · confidence 0.70 Andrey Y. Lokhov
Frequent Coauthors
- Marc Vuffray 27 shared papers
- Carleton Coffrin 12 shared papers
- Sidhant Misra 12 shared papers
- Abhijith Jayakumar 7 shared papers
- David Saad 4 shared papers
- Jon Nelson 3 shared papers
- Mateusz Wilinski 3 shared papers
- Michael Chertkov 3 shared papers
- Abhijith J. 2 shared papers
- Adrien Suau 2 shared papers
- Andreas B\"artschi 2 shared papers
- Deepjyoti Deka 2 shared papers
- Lenka Zdeborov\'a 2 shared papers
- Lukasz Cincio 2 shared papers
- Marc M\'ezard 2 shared papers
- Melvyn Tyloo 2 shared papers
- Mikhail V. Tamm 2 shared papers
- Nathan Lemons 2 shared papers
- Olga V. Valba 2 shared papers
- Sergei K. Nechaev 2 shared papers