Instanton method of post-error-correction analytical evaluation. - Vladimir Y. Chernyak; Misha Chertkov; Mikhail G. Stepanov; Bane Vasic (ITW, 2004)

Diagnosis of weaknesses in modern error correction codes: a physics approach - Mikhail G. Stepanov; Vladimir Y. Chernyak; Michael Chertkov; Bane Vasic (CoRR, 2005)

The error-floor of LDPC codes in the Laplacian channel - Mikhail G. Stepanov; Michael Chertkov (CoRR, 2005)

Instanton analysis of Low-Density Parity-Check codes in the error-floor regime. - Mikhail G. Stepanov; Michael Chertkov (ISIT, 2006)

Loop Calculus in Statistical Physics and Information Science - Michael Chertkov; Vladimir Y. Chernyak (CoRR, 2006)

Loop series for discrete statistical models on graphs - Michael Chertkov; Vladimir Y. Chernyak (CoRR, 2006)

An Efficient Pseudo-Codeword Search Algorithm for Linear Programming Decoding of LDPC Codes - Michael Chertkov; Mikhail G. Stepanov (CoRR, 2006)

Improving convergence of Belief Propagation decoding - Mikhail G. Stepanov; Michael Chertkov (CoRR, 2006)

Loop Calculus Helps to Improve Belief Propagation and Linear Programming Decodings of Low-Density-Parity-Check Codes - Michael Chertkov; Vladimir Y. Chernyak (CoRR, 2006)

Loop Calculus and Belief Propagation for q-ary Alphabet: Loop Tower. - Vladimir Y. Chernyak; Michael Chertkov (ISIT, 2007)

Pseudo-codeword Landscape. - Michael Chertkov; Mikhail G. Stepanov (ISIT, 2007)

Reducing the Error Floor - Michael Chertkov (CoRR, 2007)

Searching for low weight pseudo-codewords - Michael Chertkov; Mikhail G. Stepanov (CoRR, 2007)

Loop Calculus for Satisfiability. - Lukas Kroc; Michael Chertkov (AAAI, 2008)

Belief Propagation and Loop Series on Planar Graphs. - Michael Chertkov; Vladimir Y. Chernyak; Razvan Teodorescu (CoRR, 2008)

Exactness of Belief Propagation for some Graphical Models with Loops - Michael Chertkov (CoRR, 2008)

Belief Propagation and Beyond for Particle Tracking - Michael Chertkov; Lukas Kroc; Massimo Vergassola (CoRR, 2008)

Provably Efficient Instanton Search Algorithm for LP decoding of LDPC codes over the BSC - Shashi Kiran Chilappagari; Michael Chertkov (CoRR, 2008)

Irreversible Monte Carlo Algorithms for Efficient Sampling - Konstantin S. Turitsyn; Michael Chertkov; Marija Vucelja (CoRR, 2008)

Fermions and Loops on Graphs. I. Loop Calculus for Determinant - Vladimir Y. Chernyak; Michael Chertkov (CoRR, 2008)

Fermions and Loops on Graphs. II. Monomer-Dimer Model as Series of Determinants - Vladimir Y. Chernyak; Michael Chertkov (CoRR, 2008)

An Efficient Pseudocodeword Search Algorithm for Linear Programming Decoding of LDPC Codes. - Michael Chertkov; Mikhail G. Stepanov (IEEE Trans. Inf. Theory, 2008)

Orbit-product representation and correction of Gaussian belief propagation. - Jason K. Johnson; Vladimir Y. Chernyak; Michael Chertkov (ICML, 2009)

Analysis of error floors of LDPC codes under LP decoding over the BSC. - Shashi Kiran Chilappagari; Bane Vasic; Mikhail G. Stepanov; Michael Chertkov (ISIT, 2009)

Planar Graphical Models which are Easy - Vladimir Y. Chernyak; Michael Chertkov (CoRR, 2009)

Message Passing for Optimization and Control of Power Grid: Toy Model of Distribution with Ancillary Lines - Lenka Zdeborová; Michael Chertkov (CoRR, 2009)

Bethe Free Energy Approach to LDPC Decoding on Memory Channels - Jaime Anguita; Michael Chertkov; Mark A. Neifeld; Bane Vasic (CoRR, 2009)

Belief Propagation and Loop Calculus for Permanent of a Non-Negative Matrix - Yusuke Watanabe; Michael Chertkov (CoRR, 2009)

Instanton-based techniques for analysis and reduction of error floors of LDPC codes. - Shashi Kiran Chilappagari; Michael Chertkov; Mikhail G. Stepanov; Bane Vasic (IEEE J. Sel. Areas Commun., 2009)

A majorization-minimization approach to design of power transmission networks. - Jason K. Johnson; Michael Chertkov (CDC, 2010)

Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid. - Lenka Zdeborová; Scott Backhaus; Michael Chertkov (HICSS, 2010)

Worst configurations (instantons) for Compressed Sensing over reals: A channel coding approach. - Shashi Kiran Chilappagari; Michael Chertkov; Bane Vasic (ISIT, 2010)

Non-Equilibrium Statistical Physics of Currents in Queuing Networks. - Vladimir Y. Chernyak; Michael Chertkov; David A. Goldberg 001; Konstantin S. Turitsyn (CoRR, 2010)

Learning Planar Ising Models - Jason K. Johnson; Praneeth Netrapalli; Michael Chertkov (CoRR, 2010)

Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation. - Vicenç Gómez; Hilbert J. Kappen; Michael Chertkov (J. Mach. Learn. Res., 2010)

Exact and efficient algorithm to discover extreme stochastic events in wind generation over transmission Power Grids. - Michael Chertkov; Mikhail G. Stepanov; Feng Pan 005; Ross Baldick (CDC/ECC, 2011)

Smart finite state devices: A modeling framework for demand response technologies. - Konstantin S. Turitsyn; Scott Backhaus; Maxim Ananyev; Michael Chertkov (CDC/ECC, 2011)

Polytope of correct (linear programming) decoding and low-weight pseudo-codewords. - Michael Chertkov; Mikhail G. Stepanov (ISIT, 2011)

Linear programming based detectors for two-dimensional intersymbol interference channels. - Shrinivas Kudekar; Jason K. Johnson; Michael Chertkov (ISIT, 2011)

Controlled Tripping of Overheated Lines Mitigates Power Outages - René Pfitzner; Konstantin S. Turitsyn; Michael Chertkov (CoRR, 2011)

Voltage Collapse and ODE Approach to Power Flows: Analysis of a Feeder Line with Static Disorder in Consumption/Production - Michael Chertkov; Scott Backhaus; K. Turtisyn; Vladimir Y. Chernyak; Vladimir Lebedev (CoRR, 2011)

Operations-Based Planning for Placement and Sizing of Energy Storage in a Grid With a High Penetration of Renewables - Krishnamurthy Dvijotham; Scott Backhaus; Misha Chertkov (CoRR, 2011)

Computing the Permanent with Belief Propagation - Adam B. Yedidia; Michael Chertkov (CoRR, 2011)

Options for Control of Reactive Power by Distributed Photovoltaic Generators. - Konstantin S. Turitsyn; Petr Sulc; Scott Backhaus; Michael Chertkov (Proc. IEEE, 2011)

Counting Independent Sets Using the Bethe Approximation. - Venkat Chandrasekaran; Misha Chertkov; David Gamarnik; Devavrat Shah; Jinwoo Shin (SIAM J. Discret. Math., 2011)

An Efficient Instanton Search Algorithm for LP Decoding of LDPC Codes Over the BSC. - Shashi Kiran Chilappagari; Michael Chertkov; Bane Vasic (IEEE Trans. Inf. Theory, 2011)

Predicting Failures in Power Grids: The Case of Static Overloads. - Michael Chertkov; Feng Pan 005; Mikhail G. Stepanov (IEEE Trans. Smart Grid, 2011)

Synchronization assessment in power networks and coupled oscillators. - Florian Dörfler; Michael Chertkov; Francesco Bullo (CDC, 2012)

DistFlow ODE: Modeling, analyzing and controlling long distribution feeder. - Danhua Wang; Konstantin S. Turitsyn; Michael Chertkov (CDC, 2012)

Distributed control of generation in a transmission grid with a high penetration of renewables. - Krishnamurthy Dvijotham; Scott Backhaus; Michael Chertkov (SmartGridComm, 2012)

Learning price-elasticity of smart consumers in power distribution systems. - Vicenç Gómez; Michael Chertkov; Scott Backhaus; Hilbert J. Kappen (SmartGridComm, 2012)

Sparse and optimal wide-area damping control in power networks. - Florian Dörfler; Mihailo R. Jovanovic; Michael Chertkov; Francesco Bullo (ACC, 2013)

Robust modeling of probabilistic uncertainty in smart Grids: Data ambiguous Chance Constrained Optimum Power Flow. - Daniel Bienstock; Michael Chertkov; Sean Harnett (CDC, 2013)

Belief Propagation for Linear Programming. - Andrew E. Gelfand; Jinwoo Shin; Michael Chertkov (ISIT, 2013)

Improved linear programming decoding using frustrated cycles. - Shrinivas Kudekar; Jason K. Johnson; Misha Chertkov (ISIT, 2013)

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. - Jinwoo Shin; Andrew E. Gelfand; Michael Chertkov (NIPS, 2013)

Synchronization-Aware and Algorithm-Efficient Chance Constrained Optimal Power Flow. - Russell Bent; Daniel Bienstock; Michael Chertkov (CoRR, 2013)

Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current. - Vladimir Y. Chernyak; Michael Chertkov; Joris Bierkens; Hilbert J. Kappen (CoRR, 2013)

Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs. - Michael Chertkov; Andrew Gelfand; Jinwoo Shin (CoRR, 2013)

Reinforcing Power Grid Transmission with FACTS Devices. - Vladimir A. Frolov; Scott Backhaus; Misha Chertkov (CoRR, 2013)

Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers. - Petr Sulc; Scott Backhaus; Michael Chertkov (CoRR, 2013)

Approximating the permanent with fractional belief propagation. - Michael Chertkov; Adam B. Yedidia (J. Mach. Learn. Res., 2013)

Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations. - Krishnamurthy Dvijotham; Misha Chertkov; Scott Backhaus (HICSS, 2014)

Efficient Synchronization Stability Metrics for Fault Clearing. - Scott Backhaus; Russell Bent; Daniel Bienstock; Michael Chertkov; Krishnamurthy Dvijotham (CoRR, 2014)

Cascading of Fluctuations in Interdependent Energy Infrastructures: Gas-Grid Coupling. - Michael Chertkov; Vladimir Lebedev; Scott Backhaus (CoRR, 2014)

Fault Induced Delayed Voltage Recovery in a Long Inhomogeneous Power Distribution Feeder. - Irina Stolbova; Scott Backhaus; Michael Chertkov (CoRR, 2014)

Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty. - Daniel Bienstock; Michael Chertkov; Sean Harnett (SIAM Rev., 2014)

Convexity of structure preserving energy functions in power transmission: Novel results and applications. - Krishnamurthy Dvijotham; Michael Chertkov (ACC, 2015)

A differential analysis of the power flow equations. - Krishnamurthy Dvijotham; Michael Chertkov; Steven H. Low (CDC, 2015)

Optimal Power Flow with Weighted chance constraints and general policies for generation control. - Line Roald; Sidhant Misra; Michael Chertkov; Göran Andersson (CDC, 2015)

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows. - Marc Vuffray; Sidhant Misra; Michael Chertkov (CDC, 2015)

Optimal control of transient flow in natural gas networks. - Anatoly Zlotnik; Michael Chertkov; Scott Backhaus (CDC, 2015)

Pressure Fluctuations in Natural Gas Networks Caused by Gas-Electric Coupling. - Michael Chertkov; Michael W. Fisher; Scott Backhaus; Russell Bent; Sidhant Misra (HICSS, 2015)

Optimal Sizing of Voltage Control Devices for Distribution Circuit with Intermittent Load. - Changhong Zhao; Michael Chertkov; Scott Backhaus (HICSS, 2015)

Minimum Weight Perfect Matching via Blossom Belief Propagation. - Sungsoo Ahn; Sejun Park; Michael Chertkov; Jinwoo Shin (NIPS, 2015)

Solving the Power Flow Equations: A Monotone Operator Theory Approach. - Krishnamurthy Dvijotham; Michael Chertkov; Steven H. Low (CoRR, 2015)

Solving the Power Flow Equations: A Monotone Operator Approach. - Krishnamurthy Dvijotham; Steven H. Low; Michael Chertkov (CoRR, 2015)

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. - Krishnamurthy Dvijotham; Marc Vuffray; Sidhant Misra; Michael Chertkov (CoRR, 2015)

Optimal Compression in Natural Gas Networks: A Geometric Programming Approach. - Sidhant Misra; Michael W. Fisher; Scott Backhaus; Russell Bent; Michael Chertkov; Feng Pan 005 (IEEE Trans. Control. Netw. Syst., 2015)

Monotone operator approach to power flow solutions. - Krishnamurthy Dvijotham; Michael Chertkov; Steven H. Low (ACC, 2016)

Control policies for operational coordination of electric power and natural gas transmission systems. - Anatoly Zlotnik; Line Roald; Scott Backhaus; Michael Chertkov; Göran Andersson (ACC, 2016)

Tractable structure learning in radial physical flow networks. - Deepjyoti Deka; Scott Backhaus; Michael Chertkov (CDC, 2016)

Learning topology of the power distribution grid with and without missing data. - Deepjyoti Deka; Scott Backhaus; Michael Chertkov (ECC, 2016)

Monotonicity of actuated flows on dissipative transport networks. - Anatoly Zlotnik; Sidhant Misra; Marc Vuffray; Michael Chertkov (ECC, 2016)

Assessing Risk of Gas Shortage in Coupled Gas-Electricity Infrastructures. - Anatoly Zlotnik; Michael Chertkov; Konstantin S. Turitsyn (HICSS, 2016)

Synthesis of MCMC and Belief Propagation. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin (NIPS, 2016)

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. - Marc Vuffray; Sidhant Misra; Andrey Y. Lokhov; Michael Chertkov (NIPS, 2016)

Estimating distribution grid topologies: A graphical learning based approach. - Deepjyoti Deka; Scott Backhaus; Michael Chertkov (PSCC, 2016)

Optimal power flow with wind power control and limited expected risk of overloads. - Line Roald; Göran Andersson; Sidhant Misra; Michael Chertkov; Scott Backhaus (PSCC, 2016)

Learning topology of distribution grids using only terminal node measurements. - Deepjyoti Deka; Scott Backhaus; Michael Chertkov (SmartGridComm, 2016)

MCMC assisted by Belief Propagaion. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin (CoRR, 2016)

Optimal Placement and Sizing of FACTS Devices to Delay Transmission Expansion. - Vladimir A. Frolov; Priyanko Guha Thakurta; Scott Backhaus; Janusz W. Bialek; Michael Chertkov (CoRR, 2016)

Optimal structure and parameter learning of Ising models. - Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra; Michael Chertkov (CoRR, 2016)

Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants. - Line Roald; Sidhant Misra; Michael Chertkov; Scott Backhaus; Göran Andersson (CoRR, 2016)

Learning Planar Ising Models. - Jason K. Johnson; Diane Oyen; Michael Chertkov; Praneeth Netrapalli (J. Mach. Learn. Res., 2016)

Chance constrained optimal power flow with primary frequency response. - Michael Chertkov; Yury Dvorkin (CDC, 2017)

Adiabatic approach for natural gas pipeline computations. - Michael Chertkov; Alexander Korotkevich (CDC, 2017)

Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics. - Saurav Talukdar; Deepjyoti Deka; Blake Lundstrom; Michael Chertkov; Murti V. Salapaka (e-Energy, 2017)

State and noise covariance estimation in power grids using limited nodal PMUs. - Deepjyoti Deka; Armin Zare; Andrey Y. Lokhov; Mihailo R. Jovanovic; Michael Chertkov (GlobalSIP, 2017)

Gauging Variational Inference. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin (NIPS, 2017)

Estimating topology and injection statistics in distribution grids with hidden nodes. - Deepjyoti Deka; Michael Chertkov; Scott Backhaus (SmartGridComm, 2017)

Integrated multi-scale data analytics and machine learning for the distribution grid. - 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 (SmartGridComm, 2017)

Graphical models for optimal power flow. - Krishnamurthy Dvijotham; Michael Chertkov; Pascal Van Hentenryck; Marc Vuffray; Sidhant Misra (Constraints An Int. J., 2017)

Ensemble of Thermostatically Controlled Loads: Statistical Physics Approach. - Michael Chertkov; Vladimir Y. Chernyak (CoRR, 2017)

Ensemble Control of Cycling Energy Loads: Markov Decision Approach. - Michael Chertkov; Vladimir Y. Chernyak (CoRR, 2017)

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. - Michael Chertkov; Sidhant Misra; Marc Vuffray; Dvijotham Krishnamurty; Pascal Van Hentenryck (CoRR, 2017)

Thermal Transients in District Heating Systems. - Michael Chertkov; Nikolai N. Novitsky (CoRR, 2017)

Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery. - Deepjyoti Deka; Saurav Talukdar; Michael Chertkov; Murti V. Salapaka (CoRR, 2017)

Methodology for Multi-stage, Operations- and Uncertainty-Aware Placement and Sizing of FACTS Devices in a Large Power Transmission System. - Vladimir A. Frolov; Michael Chertkov (CoRR, 2017)

Structure- & Physics- Preserving Reductions of Power Grid Models. - Colin Grudzien; Deepjyoti Deka; Michael Chertkov; Scott Backhaus (CoRR, 2017)

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. - Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov; Michael Chertkov (CoRR, 2017)

Importance sampling the union of rare events with an application to power systems analysis. - Art B. Owen; Yury Maximov; Michael Chertkov (CoRR, 2017)

Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources. - Ali Hassan 005; Yury Dvorkin; Deepjyoti Deka; Michael Chertkov (CoRR, 2017)

Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints. - Michael Chertkov; Deepjyoti Deka; Yury Dvorkin (CoRR, 2017)

Online Learning of Power Transmission Dynamics. - Andrey Y. Lokhov; Marc Vuffray; Dmitry Shemetov; Deepjyoti Deka; Michael Chertkov (CoRR, 2017)

Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability. - Sejun Park; Deepjyoti Deka; Michael Chertkov (CoRR, 2017)

Learning in Power Distribution Grids under Correlated Injections. - Sejun Park; Deepjyoti Deka; Michael Chertkov (ACSSC, 2018)

Gauged Mini-Bucket Elimination for Approximate Inference. - Sungsoo Ahn; Michael Chertkov; Jinwoo Shin; Adrian Weller (AISTATS, 2018)

Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow. - Andrii Riazanov; Yury Maximov; Michael Chertkov (ACC, 2018)

Topology Learning of Radial Dynamical Systems with Latent Nodes. - Saurav Talukdar; Deepjyoti Deka; Michael Chertkov; Murti V. Salapaka (ACC, 2018)

Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. - Andrey Y. Lokhov; Deepjyoti Deka; Marc Vuffray; Michael Chertkov (CDC, 2018)

Bucket Renormalization for Approximate Inference. - Sungsoo Ahn; Michael Chertkov; Adrian Weller; Jinwoo Shin (ICML, 2018)

Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids. - Deepjyoti Deka; Michael Chertkov; Scott Backhaus (CoRR, 2018)

Joint Estimation of Topology & Injection Statistics in Distribution Grids with Missing Nodes. - Deepjyoti Deka; Michael Chertkov; Scott Backhaus (CoRR, 2018)

Power of Ensemble Diversity and Randomization for Energy Aggregation. - David Métivier; Ilia Luchnikov; Michael Chertkov (CoRR, 2018)

Mean Field Control for Efficient Mixing of Energy Loads. - David Métivier; Michael Chertkov (CoRR, 2018)

Real-time Fault Localization in Power Grids With Convolutional Neural Networks. - Wenting Li; Deepjyoti Deka; Michael Chertkov; Meng Wang (CoRR, 2018)

From Deep to Physics-Informed Learning of Turbulence: Diagnostics. - Ryan King; Oliver Hennigh; Arvind T. Mohan; Michael Chertkov (CoRR, 2018)

Gauges, Loops, and Polynomials for Partition Functions of Graphical Models. - Michael Chertkov; Yury Maximov (CoRR, 2018)

Inference and Sampling of K33-free Ising Models. - Valerii Likhosherstov; Yury Maximov; Michael Chertkov (CoRR, 2018)

Structure- and Physics-Preserving Reductions of Power Grid Models. - Colin Grudzien; Deepjyoti Deka; Michael Chertkov; Scott N. Backhaus (Multiscale Model. Simul., 2018)

Structure Learning in Power Distribution Networks. - Deepjyoti Deka; Scott Backhaus; Michael Chertkov (IEEE Trans. Control. Netw. Syst., 2018)

Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. - Sungsoo Ahn; Michael Chertkov; Andrew E. Gelfand; Sejun Park; Jinwoo Shin (IEEE Trans. Inf. Theory, 2018)

Inference and Sampling of $K_33$-free Ising Models. - Valerii Likhosherstov; Yury Maximov; Misha Chertkov (ICML, 2019)

Stochastic Battery Operations using Deep Neural Networks. - Yize Chen; Md Umar Hashmi; Deepjyoti Deka; Michael Chertkov (ISGT, 2019)

Learning a Generator Model from Terminal Bus Data. - Nikolay Stulov; Dejan J. Sobajic; Yury Maximov; Deepjyoti Deka; Michael Chertkov (CoRR, 2019)

A Markov Process Approach to Ensemble Control of Smart Buildings. - Roman Pop; Ali Hassan 005; Kenneth Bruninx; Michael Chertkov; Yury Dvorkin (CoRR, 2019)

Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation. - Deepjyoti Deka; Saurav Talukdar; Michael Chertkov; Murti V. Salapaka (CoRR, 2019)

A New Family of Tractable Ising Models. - Valerii Likhosherstov; Yury Maximov; Michael Chertkov (CoRR, 2019)

Tractable Minor-free Generalization of Planar Zero-field Ising Models. - Valerii Likhosherstov; Yury Maximov; Michael Chertkov (CoRR, 2019)

Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks. - Michael Chertkov; Mihailo R. Jovanovic; Bernard C. Lesieutre; Steven H. Low; Pascal Van Hentenryck; Louis Wehenkel (IEEE Trans. Control. Netw. Syst., 2019)

Operations- and Uncertainty-Aware Installation of FACTS Devices in a Large Transmission System. - Vladimir Y. Frolov; Priyanko Guha Thakurta; Scott Backhaus; Janusz W. Bialek; Michael Chertkov (IEEE Trans. Control. Netw. Syst., 2019)

Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow. - Ali Hassan 005; Robert Mieth; Michael Chertkov; Deepjyoti Deka; Yury Dvorkin (IEEE Trans. Smart Grid, 2019)

Physics informed topology learning in networks of linear dynamical systems. - Saurav Talukdar; Deepjyoti Deka; Harish Doddi; Donatello Materassi; Michael Chertkov; Murti V. Salapaka (Autom., 2020)

Data-Driven Learning and Load Ensemble Control. - Ali Hassan 005; Deepjyoti Deka; Michael Chertkov; Yury Dvorkin (CoRR, 2020)

A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications. - Ali Hassan 005; Samrat Acharya; Michael Chertkov; Deepjyoti Deka; Yury Dvorkin (CoRR, 2020)

Super-relaxation of space-time-quantized ensemble of energy loads. - Ilia Luchnikov; David Métivier; Henni Ouerdane; Michael Chertkov (CoRR, 2020)

Multienergy Systems. - Michael Chertkov; Göran Andersson (Proc. IEEE, 2020)

A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications. - Ali Hassan 005; Samrat Acharya; Michael Chertkov; Deepjyoti Deka; Yury Dvorkin (Proc. IEEE, 2020)

Smarter Smart District Heating. - 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 (Proc. IEEE, 2020)

Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes. - Deepjyoti Deka; Michael Chertkov; Scott Backhaus (IEEE Trans. Control. Netw. Syst., 2020)

Learning With End-Users in Distribution Grids: Topology and Parameter Estimation. - Sejun Park; Deepjyoti Deka; Scott Backhaus; Michael Chertkov (IEEE Trans. Control. Netw. Syst., 2020)

Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations. - Deepjyoti Deka; Saurav Talukdar; Michael Chertkov; Murti V. Salapaka (IEEE Trans. Smart Grid, 2020)

Neural Particle Image Velocimetry. - Nikolay Stulov; Michael Chertkov (CoRR, 2021)

Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems. - Laurent Pagnier; Michael Chertkov (CoRR, 2021)

Message Passing Descent for Efficient Machine Learning. - Francesco Concetti; Michael Chertkov (CoRR, 2021)

Embedding Power Flow into Machine Learning for Parameter and State Estimation. - Laurent Pagnier; Michael Chertkov (CoRR, 2021)

Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming. - Mikhail Krechetov; Amir Mohammad Esmaieeli Sikaroudi; Alon Efrat; Valentin Polishchuk; Michael Chertkov (CoRR, 2021)

Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence. - Michael Woodward; Yifeng Tian; Criston Hyett; Chris Fryer; Daniel Livescu; Mikhail G. Stepanov; Michael Chertkov (CoRR, 2021)

Model Reduction of Swing Equations with Physics Informed PDE. - Laurent Pagnier; Michael Chertkov; Julian Fritzsch; Philippe Jacquod (CoRR, 2021)

Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems? - Andrei Afonin; Michael Chertkov (Frontiers Big Data, 2021)

Toward Model Reduction for Power System Transients With Physics-Informed PDE. - Laurent Pagnier; Julian Fritzsch; Philippe Jacquod; Michael Chertkov (IEEE Access, 2022)

Machine Learning for Electricity Market Clearing. - Laurent Pagnier; Robert Ferrando; Yury Dvorkin; Michael Chertkov (CoRR, 2022)

Statistical Mechanics of Thermostatically Controlled Multi-Zone Buildings. - Lucas Fuentes Valenzuela; Lindell Williams; Michael Chertkov (CoRR, 2022)

A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. - Robert Ferrando; Laurent Pagnier; Robert Mieth; Zhirui Liang; Yury Dvorkin; Daniel Bienstock; Michael Chertkov (CoRR, 2023)

Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty. - Criston Hyett; Laurent Pagnier; Jean Alisse; Lilach Sabban; Igal Goldshtein; Michael Chertkov (CoRR, 2023)

U-Turn Diffusion. - Hamidreza Behjoo; Michael Chertkov (CoRR, 2023)

Geospatial Tessellation in the Agent-In-Cell Model: A Framework for Agent-Based Modeling of Pandemic. - Amir Mohammad Esmaieeli Sikaroudi; Alon Efrat; Michael Chertkov (CoRR, 2023)

Universality and Control of Fat Tails. - Michael Chertkov (IEEE Control. Syst. Lett., 2023)

Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows. - Criston Hyett; Laurent Pagnier; Jean Alisse; Igal Goldshtein; Lilah Saban; Robert Ferrando; Michael Chertkov (CDC, 2024)

System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel. - Laurent Pagnier; Criston Hyett; Robert Ferrando; Igal Goldshtein; Jean Alisse; Lilah Saban; Michael Chertkov (CDC, 2024)

Space-Time Bridge-Diffusion. - Hamidreza Behjoo; Michael Chertkov (CoRR, 2024)

Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence. - Michael Chertkov (CoRR, 2024)

Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence. - Christopher Koh; Laurent Pagnier; Michael Chertkov (CoRR, 2024)

Physics-Informed Building Occupancy Detection: a Switching Process with Markov Regime. - Amir Mohammad Esmaieeli Sikaroudi; Boris Goikhman; Dmitri Chubarov; Hung Dinh Nguyen 001; Michael Chertkov; Petr Vorobev (CoRR, 2024)

Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms. - Hamidreza Behjoo; Michael Chertkov (Trans. Mach. Learn. Res., 2024)

Physics-Informed Building Occupancy Detection. - Amir Mohammad Esmaieeli Sikaroudi; Boris Goikhman; Dmitri Chubarov; Hung Dinh Nguyen 001; Michael Chertkov; Petr Vorobev (ACC, 2025)

Harmonic Path Integral Diffusion. - Hamidreza Behjoo; Michael Chertkov (IEEE Access, 2025)

Sampling Decisions. - Michael Chertkov; Sungsoo Ahn; Hamidreza Behjoo (CoRR, 2025)