Michael Chertkov

218 papers A* 3A 2B 8C 7Misc 1Journal 159Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Real-Time Dynamic N-1 Screening: Identifying High-Risk Lines and Transformers After Common Faults. CoRR Ayrton Almada, Laurent Pagnier, Igal Goldshtein, Saif R. Kazi, Michael Chertkov
2025	J	`jnl`	Adaptive Path Integral Diffusion: AdaPID. CoRR Michael Chertkov, Hamidreza Behjoo
2025	J	`jnl`	Generative Stochastic Optimal Transport: Guided Harmonic Path-Integral Diffusion. CoRR Michael Chertkov
2025	J	`jnl`	Harmonic Path Integral Diffusion. IEEE Access Hamidreza Behjoo, Michael Chertkov
2025	C	`conf`	Physics-Informed Building Occupancy Detection. ACC Amir Mohammad Esmaieeli Sikaroudi, Boris Goikhman, Dmitri Chubarov, Hung Dinh Nguyen, Michael Chertkov, Petr Vorobev
2025	—	`book`	Principles and Methods of Applied Mathematics Michael Chertkov
2025	J	`jnl`	Sampling Decisions. CoRR Michael Chertkov, Sungsoo Ahn, Hamidreza Behjoo
2025	J	`jnl`	U-Turn Diffusion. Entropy Hamidreza Behjoo, Michael Chertkov
2024	—	`conf`	Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows. CDC Criston Hyett, Laurent Pagnier, Jean Alisse, Igal Goldshtein, Lilah Saban, Robert Ferrando, Michael Chertkov
2024	J	`jnl`	Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms. Trans. Mach. Learn. Res. Hamidreza Behjoo, Michael Chertkov
2024	J	`jnl`	Harmonic Path Integral Diffusion. CoRR Hamidreza Behjoo, Michael Chertkov
2024	J	`jnl`	Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence. CoRR Michael Chertkov
2024	J	`jnl`	Physics-Informed Building Occupancy Detection: a Switching Process with Markov Regime. CoRR Amir Mohammad Esmaieeli Sikaroudi, Boris Goikhman, Dmitri Chubarov, Hung Dinh Nguyen, Michael Chertkov, Petr Vorobev
2024	J	`jnl`	Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence. CoRR Christopher Koh, Laurent Pagnier, Michael Chertkov
2024	J	`jnl`	Space-Time Bridge-Diffusion. CoRR Hamidreza Behjoo, Michael Chertkov
2024	—	`conf`	System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel. CDC Laurent Pagnier, Criston Hyett, Robert Ferrando, Igal Goldshtein, Jean Alisse, Lilah Saban, Michael Chertkov
2023	J	`jnl`	A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. CoRR Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov
2023	J	`jnl`	Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty. CoRR Criston Hyett, Laurent Pagnier, Jean Alisse, Lilach Sabban, Igal Goldshtein, Michael Chertkov
2023	J	`jnl`	Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms. CoRR Hamidreza Behjoo, Michael Chertkov
2023	J	`jnl`	Geospatial Tessellation in the Agent-In-Cell Model: A Framework for Agent-Based Modeling of Pandemic. CoRR Amir Mohammad Esmaieeli Sikaroudi, Alon Efrat, Michael Chertkov
2023	J	`jnl`	System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel. CoRR Laurent Pagnier, Igal Goldshtein, Criston Hyett, Robert Ferrando, Jean Alisse, Lilah Saban, Michael Chertkov
2023	J	`jnl`	U-Turn Diffusion. CoRR Hamidreza Behjoo, Michael Chertkov
2023	J	`jnl`	Universality and Control of Fat Tails. CoRR Michael Chertkov
2023	J	`jnl`	Universality and Control of Fat Tails. IEEE Control. Syst. Lett. Michael Chertkov
2022	J	`jnl`	Machine Learning for Electricity Market Clearing. CoRR Laurent Pagnier, Robert Ferrando, Yury Dvorkin, Michael Chertkov
2022	J	`jnl`	Statistical Mechanics of Thermostatically Controlled Multi-Zone Buildings. CoRR Lucas Fuentes Valenzuela, Lindell Williams, Michael Chertkov
2022	J	`jnl`	Toward Model Reduction for Power System Transients With Physics-Informed PDE. IEEE Access Laurent Pagnier, Julian Fritzsch, Philippe Jacquod, Michael Chertkov
2021	J	`jnl`	Embedding Power Flow into Machine Learning for Parameter and State Estimation. CoRR Laurent Pagnier, Michael Chertkov
2021	J	`jnl`	Message Passing Descent for Efficient Machine Learning. CoRR Francesco Concetti, Michael Chertkov
2021	J	`jnl`	Model Reduction of Swing Equations with Physics Informed PDE. CoRR Laurent Pagnier, Michael Chertkov, Julian Fritzsch, Philippe Jacquod
2021	J	`jnl`	Neural Particle Image Velocimetry. CoRR Nikolay Stulov, Michael Chertkov
2021	J	`jnl`	Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence. CoRR Michael Woodward, Yifeng Tian, Criston Hyett, Chris Fryer, Daniel Livescu, Mikhail G. Stepanov, Michael Chertkov
2021	J	`jnl`	Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems. CoRR Laurent Pagnier, Michael Chertkov
2021	J	`jnl`	Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming. CoRR Mikhail Krechetov, Amir Mohammad Esmaieeli Sikaroudi, Alon Efrat, Valentin Polishchuk, Michael Chertkov
2021	J	`jnl`	Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems? CoRR Andrei Afonin, Michael Chertkov
2021	J	`jnl`	Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems? Frontiers Big Data Andrei Afonin, Michael Chertkov
2020	J	`jnl`	A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications. CoRR Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2020	J	`jnl`	A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications. Proc. IEEE Ali Hassan, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2020	J	`jnl`	Data-Driven Learning and Load Ensemble Control. CoRR Ali Hassan, Deepjyoti Deka, Michael Chertkov, Yury Dvorkin
2020	J	`jnl`	Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations. IEEE Trans. Smart Grid Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
2020	J	`jnl`	Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes. IEEE Trans. Control. Netw. Syst. Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2020	J	`jnl`	Learning With End-Users in Distribution Grids: Topology and Parameter Estimation. IEEE Trans. Control. Netw. Syst. Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2020	J	`jnl`	Multienergy Systems. Proc. IEEE Michael Chertkov, Göran Andersson
2020	J	`jnl`	Physics informed topology learning in networks of linear dynamical systems. Autom. Saurav Talukdar, Deepjyoti Deka, Harish Doddi, Donatello Materassi, Michael Chertkov, Murti V. Salapaka
2020	J	`jnl`	Smarter Smart District Heating. Proc. IEEE Nikolay N. Novitsky, Zoya I. Shalaginova, Aleksandr A. Alekseev, Vyacheslav V. Tokarev, Oksana A. Grebneva, Aleksandr V. Lutsenko, Olga V. Vanteeva, Egor A. Mikhailovsky, Roman Pop, Petr Vorobev, Michael Chertkov
2020	J	`jnl`	Super-relaxation of space-time-quantized ensemble of energy loads. CoRR Ilia Luchnikov, David Métivier, Henni Ouerdane, Michael Chertkov
2019	J	`jnl`	A Markov Process Approach to Ensemble Control of Smart Buildings. CoRR Roman Pop, Ali Hassan, Kenneth Bruninx, Michael Chertkov, Yury Dvorkin
2019	J	`jnl`	A New Family of Tractable Ising Models. CoRR Valerii Likhosherstov, Yury Maximov, Michael Chertkov
2019	J	`jnl`	Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation. CoRR Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
2019	J	`jnl`	Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks. IEEE Trans. Control. Netw. Syst. Michael Chertkov, Mihailo R. Jovanovic, Bernard C. Lesieutre, Steven H. Low, Pascal Van Hentenryck, Louis Wehenkel
2019	J	`jnl`	Learning a Generator Model from Terminal Bus Data. CoRR Nikolay Stulov, Dejan J. Sobajic, Yury Maximov, Deepjyoti Deka, Michael Chertkov
2019	J	`jnl`	Operations- and Uncertainty-Aware Installation of FACTS Devices in a Large Transmission System. IEEE Trans. Control. Netw. Syst. Vladimir Y. Frolov, Priyanko Guha Thakurta, Scott Backhaus, Janusz W. Bialek, Michael Chertkov
2019	J	`jnl`	Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. IEEE Trans. Smart Grid Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2019	—	`conf`	Stochastic Battery Operations using Deep Neural Networks. ISGT Yize Chen, Md Umar Hashmi, Deepjyoti Deka, Michael Chertkov
2019	J	`jnl`	Tractable Minor-free Generalization of Planar Zero-field Ising Models. CoRR Valerii Likhosherstov, Yury Maximov, Michael Chertkov
2018	C	`conf`	Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. ACC Andrii Riazanov, Yury Maximov, Michael Chertkov
2018	A*	`conf`	Bucket Renormalization for Approximate Inference. ICML Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin
2018	J	`jnl`	From Deep to Physics-Informed Learning of Turbulence: Diagnostics. CoRR Ryan King, Oliver Hennigh, Arvind T. Mohan, Michael Chertkov
2018	A	`conf`	Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller
2018	J	`jnl`	Gauges, Loops, and Polynomials for Partition Functions of Graphical Models. CoRR Michael Chertkov, Yury Maximov
2018	J	`jnl`	Inference and Sampling of K CoRR Valerii Likhosherstov, Yury Maximov, Michael Chertkov
2018	J	`jnl`	Joint Estimation of Topology \& Injection Statistics in Distribution Grids with Missing Nodes. CoRR Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2018	Misc	`conf`	Learning in Power Distribution Grids under Correlated Injections. ACSSC Sejun Park, Deepjyoti Deka, Michael Chertkov
2018	J	`jnl`	Learning with End-Users in Distribution Grids: Topology and Parameter Estimation. CoRR Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2018	J	`jnl`	Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin
2018	J	`jnl`	Mean Field Control for Efficient Mixing of Energy Loads. CoRR David Métivier, Michael Chertkov
2018	J	`jnl`	Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. CoRR Ali Hassan, Robert Mieth, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2018	J	`jnl`	Power of Ensemble Diversity and Randomization for Energy Aggregation. CoRR David Métivier, Ilia Luchnikov, Michael Chertkov
2018	J	`jnl`	Real-time Fault Localization in Power Grids With Convolutional Neural Networks. CoRR Wenting Li, Deepjyoti Deka, Michael Chertkov, Meng Wang
2018	J	`jnl`	Structure Learning in Power Distribution Networks. IEEE Trans. Control. Netw. Syst. Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2018	J	`jnl`	Structure- and Physics-Preserving Reductions of Power Grid Models. Multiscale Model. Simul. Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott N. Backhaus
2018	J	`jnl`	Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids. CoRR Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2018	C	`conf`	Topology Learning of Radial Dynamical Systems with Latent Nodes. ACC Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka
2018	J	`jnl`	Topology Learning of Radial Dynamical Systems with Latent Nodes. CoRR Saurav Talukdar, Deepjyoti Deka, Michael Chertkov, Murti V. Salapaka
2018	—	`conf`	Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov
2017	—	`conf`	Adiabatic approach for natural gas pipeline computations. CDC Michael Chertkov, Alexander Korotkevich
2017	J	`jnl`	Adiabatic approach for natural gas pipeline computations. CoRR Michael Chertkov, Alexander Korotkevich
2017	J	`jnl`	Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. CoRR Andrii Riazanov, Yury Maximov, Michael Chertkov
2017	—	`conf`	Chance constrained optimal power flow with primary frequency response. CDC Michael Chertkov, Yury Dvorkin
2017	J	`jnl`	Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources. CoRR Ali Hassan, Yury Dvorkin, Deepjyoti Deka, Michael Chertkov
2017	J	`jnl`	Ensemble Control of Cycling Energy Loads: Markov Decision Approach. CoRR Michael Chertkov, Vladimir Y. Chernyak
2017	J	`jnl`	Ensemble of Thermostatically Controlled Loads: Statistical Physics Approach. CoRR Michael Chertkov, Vladimir Y. Chernyak
2017	—	`conf`	Estimating topology and injection statistics in distribution grids with hidden nodes. SmartGridComm Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2017	J	`jnl`	Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability. CoRR Sejun Park, Deepjyoti Deka, Michael Chertkov
2017	—	`conf`	Gauging Variational Inference. NIPS Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2017	J	`jnl`	Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. CoRR Michael Chertkov, Sidhant Misra, Marc Vuffray, Dvijotham Krishnamurty, Pascal Van Hentenryck
2017	J	`jnl`	Graphical models for optimal power flow. Constraints An Int. J. Krishnamurthy Dvijotham, Michael Chertkov, Pascal Van Hentenryck, Marc Vuffray, Sidhant Misra
2017	J	`jnl`	Importance sampling the union of rare events with an application to power systems analysis. CoRR Art B. Owen, Yury Maximov, Michael Chertkov
2017	—	`conf`	Integrated multi-scale data analytics and machine learning for the distribution grid. SmartGridComm Emma M. Stewart, Philip Top, Michael Chertkov, Deepjyoti Deka, Scott Backhaus, Andrey Y. Lokhov, Ciaran M. Roberts, Val Hendrix, Sean Peisert, Anthony Florita, Thomas J. King, Matthew J. Reno
2017	—	`conf`	Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics. e-Energy Saurav Talukdar, Deepjyoti Deka, Blake Lundstrom, Michael Chertkov, Murti V. Salapaka
2017	J	`jnl`	Methodology for Multi-stage, Operations- and Uncertainty-Aware Placement and Sizing of FACTS Devices in a Large Power Transmission System. CoRR Vladimir A. Frolov, Michael Chertkov
2017	J	`jnl`	Online Learning of Power Transmission Dynamics. CoRR Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov
2017	J	`jnl`	Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints. CoRR Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
2017	—	`conf`	State and noise covariance estimation in power grids using limited nodal PMUs. GlobalSIP Deepjyoti Deka, Armin Zare, Andrey Y. Lokhov, Mihailo R. Jovanovic, Michael Chertkov
2017	J	`jnl`	Structure- & Physics- Preserving Reductions of Power Grid Models. CoRR Colin Grudzien, Deepjyoti Deka, Michael Chertkov, Scott Backhaus
2017	J	`jnl`	Thermal Transients in District Heating Systems. CoRR Michael Chertkov, Nikolai N. Novitsky
2017	J	`jnl`	Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery. CoRR Deepjyoti Deka, Saurav Talukdar, Michael Chertkov, Murti V. Salapaka
2017	J	`jnl`	Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. CoRR Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov, Michael Chertkov
2016	—	`conf`	Assessing Risk of Gas Shortage in Coupled Gas-Electricity Infrastructures. HICSS Anatoly Zlotnik, Michael Chertkov, Konstantin S. Turitsyn
2016	J	`jnl`	Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants. CoRR Line Roald, Sidhant Misra, Michael Chertkov, Scott Backhaus, Göran Andersson
2016	C	`conf`	Control policies for operational coordination of electric power and natural gas transmission systems. ACC Anatoly Zlotnik, Line Roald, Scott Backhaus, Michael Chertkov, Göran Andersson
2016	J	`jnl`	Estimating Distribution Grid Topologies: A Graphical Learning based Approach. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Estimating distribution grid topologies: A graphical learning based approach. PSCC Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	J	`jnl`	Graphical Models for Optimal Power Flow. CoRR Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray
2016	—	`conf`	Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. NIPS Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov
2016	J	`jnl`	Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. CoRR Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov
2016	J	`jnl`	Learning Planar Ising Models. J. Mach. Learn. Res. Jason K. Johnson, Diane Oyen, Michael Chertkov, Praneeth Netrapalli
2016	J	`jnl`	Learning Topology of Distribution Grids using only Terminal Node Measurements. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	J	`jnl`	Learning Topology of the Power Distribution Grid with and without Missing Data. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Learning topology of distribution grids using only terminal node measurements. SmartGridComm Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Learning topology of the power distribution grid with and without missing data. ECC Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	J	`jnl`	MCMC assisted by Belief Propagaion. CoRR Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2016	C	`conf`	Monotone operator approach to power flow solutions. ACC Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low
2016	—	`conf`	Monotonicity of actuated flows on dissipative transport networks. ECC Anatoly Zlotnik, Sidhant Misra, Marc Vuffray, Michael Chertkov
2016	J	`jnl`	Optimal Placement and Sizing of FACTS Devices to Delay Transmission Expansion. CoRR Vladimir A. Frolov, Priyanko Guha Thakurta, Scott Backhaus, Janusz W. Bialek, Michael Chertkov
2016	—	`conf`	Optimal power flow with wind power control and limited expected risk of overloads. PSCC Line Roald, Göran Andersson, Sidhant Misra, Michael Chertkov, Scott Backhaus
2016	J	`jnl`	Optimal structure and parameter learning of Ising models. CoRR Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra, Michael Chertkov
2016	—	`conf`	Synthesis of MCMC and Belief Propagation. NIPS Sungsoo Ahn, Michael Chertkov, Jinwoo Shin
2016	J	`jnl`	Tractable Structure Learning in Radial Physical Flow Networks. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2016	—	`conf`	Tractable structure learning in radial physical flow networks. CDC Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2015	—	`conf`	A differential analysis of the power flow equations. CDC Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low
2015	C	`conf`	Convexity of structure preserving energy functions in power transmission: Novel results and applications. ACC Krishnamurthy Dvijotham, Michael Chertkov
2015	—	`conf`	Minimum Weight Perfect Matching via Blossom Belief Propagation. NIPS Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015	J	`jnl`	Minimum Weight Perfect Matching via Blossom Belief Propagation. CoRR Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015	—	`conf`	Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows. CDC Marc Vuffray, Sidhant Misra, Michael Chertkov
2015	J	`jnl`	Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. CoRR Krishnamurthy Dvijotham, Marc Vuffray, Sidhant Misra, Michael Chertkov
2015	J	`jnl`	Optimal Compression in Natural Gas Networks: A Geometric Programming Approach. IEEE Trans. Control. Netw. Syst. Sidhant Misra, Michael W. Fisher, Scott Backhaus, Russell Bent, Michael Chertkov, Feng Pan
2015	J	`jnl`	Optimal Power Flow with Weighted Chance Constraints and General Policies for Generation Control. CoRR Line Roald, Sidhant Misra, Michael Chertkov, Göran Andersson
2015	—	`conf`	Optimal Power Flow with Weighted chance constraints and general policies for generation control. CDC Line Roald, Sidhant Misra, Michael Chertkov, Göran Andersson
2015	—	`conf`	Optimal Sizing of Voltage Control Devices for Distribution Circuit with Intermittent Load. HICSS Changhong Zhao, Michael Chertkov, Scott Backhaus
2015	—	`conf`	Optimal control of transient flow in natural gas networks. CDC Anatoly Zlotnik, Michael Chertkov, Scott Backhaus
2015	—	`conf`	Pressure Fluctuations in Natural Gas Networks Caused by Gas-Electric Coupling. HICSS Michael Chertkov, Michael W. Fisher, Scott Backhaus, Russell Bent, Sidhant Misra
2015	J	`jnl`	Solving the Power Flow Equations: A Monotone Operator Approach. CoRR Krishnamurthy Dvijotham, Steven H. Low, Michael Chertkov
2015	J	`jnl`	Solving the Power Flow Equations: A Monotone Operator Theory Approach. CoRR Krishnamurthy Dvijotham, Michael Chertkov, Steven H. Low
2015	J	`jnl`	Structure Learning in Power Distribution Networks. CoRR Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2014	J	`jnl`	Approximate inference on planar graphs using Loop Calculus and Belief Propagation. CoRR Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
2014	J	`jnl`	Cascading of Fluctuations in Interdependent Energy Infrastructures: Gas-Grid Coupling. CoRR Michael Chertkov, Vladimir Lebedev, Scott Backhaus
2014	J	`jnl`	Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty. SIAM Rev. Daniel Bienstock, Michael Chertkov, Sean Harnett
2014	J	`jnl`	Efficient Synchronization Stability Metrics for Fault Clearing. CoRR Scott Backhaus, Russell Bent, Daniel Bienstock, Michael Chertkov, Krishnamurthy Dvijotham
2014	J	`jnl`	Fault Induced Delayed Voltage Recovery in a Long Inhomogeneous Power Distribution Feeder. CoRR Irina Stolbova, Scott Backhaus, Michael Chertkov
2014	J	`jnl`	Optimal Sizing of Voltage Control Devices for Distribution Circuit with Intermittent Load. CoRR Changhong Zhao, Michael Chertkov, Scott Backhaus
2013	—	`conf`	A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. NIPS Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov
2013	J	`jnl`	A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. CoRR Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov
2013	J	`jnl`	Approximating the permanent with fractional belief propagation. J. Mach. Learn. Res. Michael Chertkov, Adam B. Yedidia
2013	J	`jnl`	Belief Propagation for Linear Programming CoRR Andrew Gelfand, Jinwoo Shin, Michael Chertkov
2013	B	`conf`	Belief Propagation for Linear Programming. ISIT Andrew E. Gelfand, Jinwoo Shin, Michael Chertkov
2013	J	`jnl`	Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs. CoRR Michael Chertkov, Andrew Gelfand, Jinwoo Shin
2013	J	`jnl`	Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers. CoRR Petr Sulc, Scott Backhaus, Michael Chertkov
2013	J	`jnl`	Optimal compression in natural gas networks: a geometric programming approach. CoRR Sidhant Misra, Michael W. Fisher, Scott Backhaus, Russell Bent, Michael Chertkov, Feng Pan
2013	—	`conf`	Robust modeling of probabilistic uncertainty in smart Grids: Data ambiguous Chance Constrained Optimum Power Flow. CDC Daniel Bienstock, Michael Chertkov, Sean Harnett
2013	C	`conf`	Sparse and optimal wide-area damping control in power networks. ACC Florian Dörfler, Mihailo R. Jovanovic, Michael Chertkov, Francesco Bullo
2013	J	`jnl`	Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current. CoRR Vladimir Y. Chernyak, Michael Chertkov, Joris Bierkens, Hilbert J. Kappen
2013	J	`jnl`	Synchronization-Aware and Algorithm-Efficient Chance Constrained Optimal Power Flow. CoRR Russell Bent, Daniel Bienstock, Michael Chertkov
2012	J	`jnl`	Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty CoRR Daniel Bienstock, Michael Chertkov, Sean Harnett
2012	—	`conf`	DistFlow ODE: Modeling, analyzing and controlling long distribution feeder. CDC Danhua Wang, Konstantin S. Turitsyn, Michael Chertkov
2012	J	`jnl`	Distributed Control of Generation in a Transmission Grid with a High Penetration of Renewables CoRR Krishnamurthy Dvijotham, Michael Chertkov, Scott Backhaus
2012	—	`conf`	Distributed control of generation in a transmission grid with a high penetration of renewables. SmartGridComm Krishnamurthy Dvijotham, Scott Backhaus, Michael Chertkov
2012	J	`jnl`	Learning Price-Elasticity of Smart Consumers in Power Distribution Systems CoRR Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen
2012	—	`conf`	Learning price-elasticity of smart consumers in power distribution systems. SmartGridComm Vicenç Gómez, Michael Chertkov, Scott Backhaus, Hilbert J. Kappen
2012	—	`conf`	Synchronization assessment in power networks and coupled oscillators. CDC Florian Dörfler, Michael Chertkov, Francesco Bullo
2011	J	`jnl`	An Efficient Instanton Search Algorithm for LP Decoding of LDPC Codes Over the BSC. IEEE Trans. Inf. Theory Shashi Kiran Chilappagari, Michael Chertkov, Bane Vasic
2011	J	`jnl`	Computing the Permanent with Belief Propagation CoRR Adam B. Yedidia, Michael Chertkov
2011	J	`jnl`	Controlled Tripping of Overheated Lines Mitigates Power Outages CoRR René Pfitzner, Konstantin S. Turitsyn, Michael Chertkov
2011	J	`jnl`	Exact and Efficient Algorithm to Discover Extreme Stochastic Events in Wind Generation over Transmission Power Grids CoRR Michael Chertkov, Mikhail G. Stepanov, Feng Pan, Ross Baldick
2011	—	`conf`	Exact and efficient algorithm to discover extreme stochastic events in wind generation over transmission Power Grids. CDC/ECC Michael Chertkov, Mikhail G. Stepanov, Feng Pan, Ross Baldick
2011	J	`jnl`	Improved Linear Programming Decoding using Frustrated Cycles CoRR Shrinivas Kudekar, Jason K. Johnson, Michael Chertkov
2011	J	`jnl`	Linear Programming based Detectors for Two-Dimensional Intersymbol Interference Channels CoRR Shrinivas Kudekar, Jason K. Johnson, Michael Chertkov
2011	B	`conf`	Linear programming based detectors for two-dimensional intersymbol interference channels. ISIT Shrinivas Kudekar, Jason K. Johnson, Michael Chertkov
2011	J	`jnl`	Options for Control of Reactive Power by Distributed Photovoltaic Generators. Proc. IEEE Konstantin S. Turitsyn, Petr Sulc, Scott Backhaus, Michael Chertkov
2011	J	`jnl`	Polytope of Correct (Linear Programming) Decoding and Low-Weight Pseudo-Codewords CoRR Michael Chertkov, Mikhail G. Stepanov
2011	B	`conf`	Polytope of correct (linear programming) decoding and low-weight pseudo-codewords. ISIT Michael Chertkov, Mikhail G. Stepanov
2011	J	`jnl`	Predicting Failures in Power Grids: The Case of Static Overloads. IEEE Trans. Smart Grid Michael Chertkov, Feng Pan, Mikhail G. Stepanov
2011	J	`jnl`	Smart Finite State Devices: A Modeling Framework for Demand Response Technologies CoRR Konstantin S. Turitsyn, Scott Backhaus, Maxim Ananyev, Michael Chertkov
2011	—	`conf`	Smart finite state devices: A modeling framework for demand response technologies. CDC/ECC Konstantin S. Turitsyn, Scott Backhaus, Maxim Ananyev, Michael Chertkov
2011	J	`jnl`	Voltage Collapse and ODE Approach to Power Flows: Analysis of a Feeder Line with Static Disorder in Consumption/Production CoRR Michael Chertkov, Scott Backhaus, K. Turtisyn, Vladimir Y. Chernyak, Vladimir Lebedev
2010	J	`jnl`	A Majorization-Minimization Approach to Design of Power Transmission Networks CoRR Jason K. Johnson, Michael Chertkov
2010	—	`conf`	A majorization-minimization approach to design of power transmission networks. CDC Jason K. Johnson, Michael Chertkov
2010	J	`jnl`	Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation. J. Mach. Learn. Res. Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
2010	J	`jnl`	Learning Planar Ising Models CoRR Jason K. Johnson, Praneeth Netrapalli, Michael Chertkov
2010	—	`conf`	Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid. HICSS Lenka Zdeborová, Scott Backhaus, Michael Chertkov
2010	J	`jnl`	Non-Equilibrium Statistical Physics of Currents in Queuing Networks. CoRR Vladimir Y. Chernyak, Michael Chertkov, David A. Goldberg, Konstantin S. Turitsyn
2010	J	`jnl`	Worst Configurations (Instantons) for Compressed Sensing over Reals: a Channel Coding Approach CoRR Shashi Kiran Chilappagari, Michael Chertkov, Bane Vasic
2010	B	`conf`	Worst configurations (instantons) for Compressed Sensing over reals: A channel coding approach. ISIT Shashi Kiran Chilappagari, Michael Chertkov, Bane Vasic
2009	B	`conf`	Analysis of error floors of LDPC codes under LP decoding over the BSC. ISIT Shashi Kiran Chilappagari, Bane Vasic, Mikhail G. Stepanov, Michael Chertkov
2009	J	`jnl`	Approximate inference on planar graphs using Loop Calculus and Belief Propagation CoRR Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
2009	A	`conf`	Approximate inference on planar graphs using Loop Calculus and Belief Propagation. UAI Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
2009	J	`jnl`	Belief Propagation and Loop Calculus for Permanent of a Non-Negative Matrix CoRR Yusuke Watanabe, Michael Chertkov
2009	J	`jnl`	Bethe Free Energy Approach to LDPC Decoding on Memory Channels CoRR Jaime Anguita, Michael Chertkov, Mark A. Neifeld, Bane Vasic
2009	J	`jnl`	Instanton-based Techniques for Analysis and Reduction of Error Floors of LDPC Codes CoRR Shashi Kiran Chilappagari, Michael Chertkov, Mikhail G. Stepanov, Bane Vasic
2009	J	`jnl`	Instanton-based techniques for analysis and reduction of error floors of LDPC codes. IEEE J. Sel. Areas Commun. Shashi Kiran Chilappagari, Michael Chertkov, Mikhail G. Stepanov, Bane Vasic
2009	J	`jnl`	Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid CoRR Lenka Zdeborová, Scott Backhaus, Michael Chertkov
2009	J	`jnl`	Message Passing for Optimization and Control of Power Grid: Toy Model of Distribution with Ancillary Lines CoRR Lenka Zdeborová, Michael Chertkov
2009	A*	`conf`	Orbit-product representation and correction of Gaussian belief propagation. ICML Jason K. Johnson, Vladimir Y. Chernyak, Michael Chertkov
2009	J	`jnl`	Planar Graphical Models which are Easy CoRR Vladimir Y. Chernyak, Michael Chertkov
2008	J	`jnl`	An Efficient Pseudocodeword Search Algorithm for Linear Programming Decoding of LDPC Codes. IEEE Trans. Inf. Theory Michael Chertkov, Mikhail G. Stepanov
2008	J	`jnl`	Belief Propagation and Beyond for Particle Tracking CoRR Michael Chertkov, Lukas Kroc, Massimo Vergassola
2008	J	`jnl`	Belief Propagation and Loop Series on Planar Graphs. CoRR Michael Chertkov, Vladimir Y. Chernyak, Razvan Teodorescu
2008	J	`jnl`	Exactness of Belief Propagation for some Graphical Models with Loops CoRR Michael Chertkov
2008	J	`jnl`	Fermions and Loops on Graphs. I. Loop Calculus for Determinant CoRR Vladimir Y. Chernyak, Michael Chertkov
2008	J	`jnl`	Fermions and Loops on Graphs. II. Monomer-Dimer Model as Series of Determinants CoRR Vladimir Y. Chernyak, Michael Chertkov
2008	J	`jnl`	Irreversible Monte Carlo Algorithms for Efficient Sampling CoRR Konstantin S. Turitsyn, Michael Chertkov, Marija Vucelja
2008	A*	`conf`	Loop Calculus for Satisfiability. AAAI Lukas Kroc, Michael Chertkov
2008	J	`jnl`	Provably Efficient Instanton Search Algorithm for LP decoding of LDPC codes over the BSC CoRR Shashi Kiran Chilappagari, Michael Chertkov
2007	J	`jnl`	Loop Calculus and Belief Propagation for q-ary Alphabet: Loop Tower CoRR Vladimir Y. Chernyak, Michael Chertkov
2007	B	`conf`	Loop Calculus and Belief Propagation for q-ary Alphabet: Loop Tower. ISIT Vladimir Y. Chernyak, Michael Chertkov
2007	J	`jnl`	Pseudo-codeword Landscape CoRR Michael Chertkov, Mikhail G. Stepanov
2007	B	`conf`	Pseudo-codeword Landscape. ISIT Michael Chertkov, Mikhail G. Stepanov
2007	J	`jnl`	Reducing the Error Floor CoRR Michael Chertkov
2007	J	`jnl`	Searching for low weight pseudo-codewords CoRR Michael Chertkov, Mikhail G. Stepanov
2006	J	`jnl`	An Efficient Pseudo-Codeword Search Algorithm for Linear Programming Decoding of LDPC Codes CoRR Michael Chertkov, Mikhail G. Stepanov
2006	J	`jnl`	Improving convergence of Belief Propagation decoding CoRR Mikhail G. Stepanov, Michael Chertkov
2006	B	`conf`	Instanton analysis of Low-Density Parity-Check codes in the error-floor regime. ISIT Mikhail G. Stepanov, Michael Chertkov
2006	J	`jnl`	Instanton analysis of Low-Density-Parity-Check codes in the error-floor regime CoRR Mikhail G. Stepanov, Michael Chertkov
2006	J	`jnl`	Loop Calculus Helps to Improve Belief Propagation and Linear Programming Decodings of Low-Density-Parity-Check Codes CoRR Michael Chertkov, Vladimir Y. Chernyak
2006	J	`jnl`	Loop Calculus in Statistical Physics and Information Science CoRR Michael Chertkov, Vladimir Y. Chernyak
2006	J	`jnl`	Loop series for discrete statistical models on graphs CoRR Michael Chertkov, Vladimir Y. Chernyak
2005	J	`jnl`	Diagnosis of weaknesses in modern error correction codes: a physics approach CoRR Mikhail G. Stepanov, Vladimir Y. Chernyak, Michael Chertkov, Bane Vasic
2005	J	`jnl`	The error-floor of LDPC codes in the Laplacian channel CoRR Mikhail G. Stepanov, Michael Chertkov