Sidhant Misra - RankMe

75 papers A* 5C 1Misc 4Journal 53Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computationally sufficient statistics for Ising models. CoRR Abhijith Jayakumar, Shreya Shukla, Marc Vuffray, Andrey Y. Lokhov, Sidhant Misra
2025	A*	`conf`	Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. ICML Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka
2025	J	`jnl`	Sample-Based Piecewise Linear Power Flow Approximations Using Second-Order Sensitivities. CoRR Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
2025	J	`jnl`	Towards AC Feasibility of DCOPF Dispatch. CoRR Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, Daniel K. Molzahn
2024	J	`jnl`	Adaptive Power Flow Approximations with Second-Order Sensitivity Insights. CoRR Paprapee Buason, Sidhant Misra, Jean-Paul Watson, Daniel K. Molzahn
2024	J	`jnl`	An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. CoRR Zeguan Wu, Sidhant Misra, Tamás Terlaky, Xiu Yang, Marc Vuffray
2024	J	`jnl`	Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage. CoRR Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, Sidhant Misra
2024	J	`jnl`	Discrete distributions are learnable from metastable samples. CoRR Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
2024	J	`jnl`	On the emerging potential of quantum annealing hardware for combinatorial optimization. J. Heuristics Byron Tasseff, Tameem Albash, Zachary Morrell, Marc Vuffray, Andrey Y. Lokhov, Sidhant Misra, Carleton Coffrin
2024	J	`jnl`	Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. CoRR Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, Sidhant Misra
2024	Misc	`conf`	QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models. QCE Zachary Morrell, Marc Vuffray, Sidhant Misra, Carleton Coffrin
2024	J	`jnl`	Sample-Based Conservative Bias Linear Power Flow Approximations. CoRR Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
2024	—	`conf`	Stochastic Finite Volume Method for Uncertainty Management in Gas Pipeline Network Flows. CDC Saif R. Kazi, Sidhant Misra, Svetlana Tokareva, Kaarthik Sundar, Anatoly Zlotnik
2024	J	`jnl`	Universal framework for simultaneous tomography of quantum states and SPAM noise. Quantum Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2023	J	`jnl`	Data-Efficient Power Flow Learning for Network Contingencies. CoRR Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
2023	Misc	`conf`	General Algorithms for SPAM Noise Characterization. QCE Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2023	J	`jnl`	Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes. CoRR Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
2023	—	`conf`	Optimization-Based Bound Tightening Using a Strengthened QC-Relaxation of the Optimal Power Flow Problem. CDC Kaarthik Sundar, Harsha Nagarajan, Sidhant Misra, Mowen Lu, Carleton Coffrin, Russell Bent
2022	J	`jnl`	A Data-Driven Method for Locating Sensors and Selecting Alarm Thresholds to Identify Violations of Voltage Limits in Distribution Systems. CoRR Paprapee Buason, Sidhant Misra, Daniel K. Molzahn
2022	J	`jnl`	Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets. INFORMS J. Comput. Sidhant Misra, Line Roald, Yeesian Ng
2022	J	`jnl`	Tractable Learning in Underexcited Power Grids. IEEE Trans. Control. Netw. Syst. Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka
2021	J	`jnl`	Credible Interdiction for Transmission Systems. IEEE Trans. Control. Netw. Syst. Kaarthik Sundar, Sidhant Misra, Russell Bent, Feng Pan
2021	A*	`conf`	Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. ICML Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2021	J	`jnl`	Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. CoRR Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2021	J	`jnl`	Learning Continuous Exponential Families Beyond Gaussian. CoRR Christopher X. Ren, Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov
2021	C	`conf`	Robust Gas Pipeline Network Expansion Planning to Support Power System Reliability. ACC Kaarthik Sundar, Sidhant Misra, Anatoly Zlotnik, Russell Bent
2020	J	`jnl`	An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems. CoRR Line A. Roald, Kaarthik Sundar, Anatoly Zlotnik, Sidhant Misra, Göran Andersson
2020	J	`jnl`	An Uncertainty Management Framework for Integrated Gas-Electric Energy Systems. Proc. IEEE Line A. Roald, Kaarthik Sundar, Anatoly Zlotnik, Sidhant Misra, Göran Andersson
2020	J	`jnl`	Diffusion in Random Networks: Impact of Degree Distribution. Oper. Res. Vahideh H. Manshadi, Sidhant Misra, Scott Rodilitz
2020	A*	`conf`	Efficient Learning of Discrete Graphical Models. NeurIPS Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
2020	A*	`conf`	Information Theoretic Optimal Learning of Gaussian Graphical Models. COLT Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov
2020	A*	`conf`	Learning of Discrete Graphical Models with Neural Networks. NeurIPS Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
2020	J	`jnl`	Learning of Discrete Graphical Models with Neural Networks. CoRR Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
2020	J	`jnl`	Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation. Proc. IEEE Sidhant Misra, Marc Vuffray, Anatoly Zlotnik
2020	J	`jnl`	Tractable learning in under-excited power grids. CoRR Deepjyoti Deka, Harish Doddi, Sidhant Misra, Murti V. Salapaka
2019	J	`jnl`	Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach. CoRR Tillmann Mühlpfordt, Line Roald, Veit Hagenmeyer, Timm Faulwasser, Sidhant Misra
2019	J	`jnl`	Chance-Constrained Unit Commitment With N-1 Security and Wind Uncertainty. IEEE Trans. Control. Netw. Syst. Kaarthik Sundar, Harsha Nagarajan, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
2019	J	`jnl`	Efficient Learning of Discrete Graphical Models. CoRR Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
2019	J	`jnl`	Learning for DC-OPF: Classifying active sets using neural nets. CoRR Deepjyoti Deka, Sidhant Misra
2019	J	`jnl`	Stochastic AC Optimal Power Flow: A Data-Driven Approach. CoRR Ilyès Mezghani, Sidhant Misra, Deepjyoti Deka
2018	—	`conf`	Diffusion in Random Networks: Impact of Degree Distribution. NetEcon@SIGMETRICS Vahideh H. Manshadi, Sidhant Misra, Scott Rodilitz
2018	J	`jnl`	Optimization-Based Bound Tightening using a Strengthened QC-Relaxation of the Optimal Power Flow Problem. CoRR Kaarthik Sundar, Harsha Nagarajan, Sidhant Misra, Mowen Lu, Carleton Coffrin, Russell Bent
2017	J	`jnl`	A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty. CoRR Kaarthik Sundar, Harsha Nagarajan, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
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	—	`conf`	Optimized risk limits for stochastic optimal power flow. CDC Line Roald, Sidhant Misra, Andrew Morrison, Göran Andersson
2017	J	`jnl`	Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. CoRR Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov, Michael Chertkov
2016	J	`jnl`	A Generalized Bass Model for Product Growth in Networks. CoRR Vahideh H. Manshadi, Sidhant Misra
2016	J	`jnl`	A Note on Alternating Minimization Algorithm for the Matrix Completion Problem. CoRR David Gamarnik, Sidhant Misra
2016	J	`jnl`	A Note on Alternating Minimization Algorithm for the Matrix Completion Problem. IEEE Signal Process. Lett. David Gamarnik, Sidhant Misra
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	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	—	`conf`	Monotonicity of actuated flows on dissipative transport networks. ECC Anatoly Zlotnik, Sidhant Misra, Marc Vuffray, 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	J	`jnl`	Unit Commitment with N-1 Security and Wind Uncertainty. CoRR Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
2016	—	`conf`	Unit commitment with N-1 Security and wind uncertainty. PSCC Kaarthik Sundar, Harsha Nagarajan, Miles Lubin, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock
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`	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`	Pressure Fluctuations in Natural Gas Networks caused by Gas-Electric Coupling. CoRR Misha Chertkov, Michael W. Fisher, Scott Backhaus, Russell Bent, Sidhant Misra
2015	J	`jnl`	Strong spatial mixing of list coloring of graphs. Random Struct. Algorithms David Gamarnik, Dmitriy Katz, Sidhant Misra
2015	J	`jnl`	Weighted ℓ IEEE Trans. Inf. Theory Sidhant Misra, Pablo A. Parrilo
2014	—	`—`	Decay of correlations and inference in graphical models. Sidhant Misra
2013	J	`jnl`	Analysis of weighted ℓ CoRR Sidhant Misra, Pablo A. Parrilo
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
2012	J	`jnl`	Strong spatial mixing for list coloring of graphs CoRR David Gamarnik, Dmitriy Katz, Sidhant Misra
2008	Misc	`conf`	Optimal adaptive transmission for a cognitive radio with sensing. ICASSP Sidhant Misra, Stefan Geirhofer, Lang Tong
2008	J	`jnl`	Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays. IEEE J. Sel. Top. Signal Process. Farzad Parvaresh, Haris Vikalo, Sidhant Misra, Babak Hassibi
2008	Misc	`conf`	Sparse measurements, compressed sampling, and DNA microarrays. ICASSP Haris Vikalo, Farzad Parvaresh, Sidhant Misra, Babak Hassibi