Sidhant Misra

Daniel K. Molzahn

CoRR, 2024

Adaptive Power Flow Approximations with Second-Order Sensitivity Insights.

[BibT_eX]

[DOI]

CoRR, 2024

An Efficient Quantum Algorithm for Linear System Problem in Tensor Format.

[BibT_eX]

[DOI]

CoRR, 2024

Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Data-Efficient Power Flow Learning for Network Contingencies.

[BibT_eX]

[DOI]

Parikshit Pareek

CoRR, 2023

Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes.

[BibT_eX]

[DOI]

Parikshit Pareek

CoRR, 2023

General Algorithms for SPAM Noise Characterization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Optimization-Based Bound Tightening Using a Strengthened QC-Relaxation of the Optimal Power Flow Problem.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Tractable Learning in Underexcited Power Grids.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2022

Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets.

[BibT_eX]

[DOI]

Line Roald

Yeesian Ng

INFORMS J. Comput., 2022

A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems.

[BibT_eX]

[DOI]

Paprapee Buason

Daniel K. Molzahn

CoRR, 2022

2021

Credible Interdiction for Transmission Systems.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2021

Learning Continuous Exponential Families Beyond Gaussian.

[BibT_eX]

[DOI]

CoRR, 2021

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Robust Gas Pipeline Network Expansion Planning to Support Power System Reliability.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

2020

An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation.

[BibT_eX]

[DOI]

Anatoly Zlotnik

Proc. IEEE, 2020

Diffusion in Random Networks: Impact of Degree Distribution.

[BibT_eX]

[DOI]

Vahideh H. Manshadi

Scott Rodilitz

Oper. Res., 2020

Tractable learning in under-excited power grids.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Learning of Discrete Graphical Models.

[BibT_eX]

[DOI]

Andrey Y. Lokhov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning of Discrete Graphical Models with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Information Theoretic Optimal Learning of Gaussian Graphical Models.

[BibT_eX]

[DOI]

Andrey Y. Lokhov

Proceedings of the Conference on Learning Theory, 2020

2019

Chance-Constrained Unit Commitment With N-1 Security and Wind Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2019

Stochastic AC Optimal Power Flow: A Data-Driven Approach.

[BibT_eX]

[DOI]

Ilyès Mezghani

CoRR, 2019

Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Learning for DC-OPF: Classifying active sets using neural nets.

[BibT_eX]

[DOI]

CoRR, 2019

2017

A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows.

[BibT_eX]

[DOI]

Dvijotham Krishnamurty

Pascal Van Hentenryck

CoRR, 2017

Graphical models for optimal power flow.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

Pascal Van Hentenryck

Constraints An Int. J., 2017

Optimized risk limits for stochastic optimal power flow.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

A Note on Alternating Minimization Algorithm for the Matrix Completion Problem.

[BibT_eX]

[DOI]

David Gamarnik

IEEE Signal Process. Lett., 2016

Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants.

[BibT_eX]

[DOI]

CoRR, 2016

A Generalized Bass Model for Product Growth in Networks.

[BibT_eX]

[DOI]

Vahideh H. Manshadi

CoRR, 2016

Optimal structure and parameter learning of Ising models.

[BibT_eX]

[DOI]

CoRR, 2016

Unit commitment with N-1 Security and wind uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Power Systems Computation Conference, 2016

Optimal power flow with wind power control and limited expected risk of overloads.

[BibT_eX]

[DOI]

Proceedings of the Power Systems Computation Conference, 2016

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Monotonicity of actuated flows on dissipative transport networks.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

2015

Weighted ℓ<sub>1</sub>-Minimization for Generalized Non-Uniform Sparse Model.

[BibT_eX]

[DOI]

Pablo A. Parrilo

IEEE Trans. Inf. Theory, 2015

Optimal Compression in Natural Gas Networks: A Geometric Programming Approach.

[BibT_eX]

[DOI]

IEEE Trans. Control. Netw. Syst., 2015

Strong spatial mixing of list coloring of graphs.

[BibT_eX]

[DOI]

David Gamarnik

Dmitriy Katz

Random Struct. Algorithms, 2015

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

CoRR, 2015

Pressure Fluctuations in Natural Gas Networks Caused by Gas-Electric Coupling.

[BibT_eX]

[DOI]

Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal Power Flow with Weighted chance constraints and general policies for generation control.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Decay of correlations and inference in graphical models.

[BibT_eX]

[DOI]

PhD thesis, 2014

2013

Analysis of weighted ℓ<sub>1</sub>-minimization for model based compressed sensing

[BibT_eX]

[DOI]

Pablo A. Parrilo

CoRR, 2013

2008

Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2008

Sparse measurements, compressed sampling, and DNA microarrays.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Optimal adaptive transmission for a cognitive radio with sensing.

[BibT_eX]

[DOI]