| Recovering sparse signals using sparse measurement matrices in compressed DNA microarrays F Parvaresh, H Vikalo, S Misra, B Hassibi IEEE Journal of Selected Topics in Signal Processing 2 (3), 275-285, 2008 | 253 | 2008 |
| Corrective control to handle forecast uncertainty: A chance constrained optimal power flow L Roald, S Misra, T Krause, G Andersson IEEE Transactions on Power Systems 32 (2), 1626-1637, 2016 | 151 | 2016 |
| Interaction screening: Efficient and sample-optimal learning of Ising models M Vuffray, S Misra, A Lokhov, M Chertkov Advances in neural information processing systems 29, 2016 | 132 | 2016 |
| Optimal structure and parameter learning of Ising models AY Lokhov, M Vuffray, S Misra, M Chertkov Science advances 4 (3), e1700791, 2018 | 99 | 2018 |
| Learning for DC-OPF: Classifying active sets using neural nets D Deka, S Misra 2019 IEEE Milan PowerTech, 1-6, 2019 | 95 | 2019 |
| Optimal compression in natural gas networks: A geometric programming approach S Misra, MW Fisher, S Backhaus, R Bent, M Chertkov, F Pan IEEE transactions on control of network systems 2 (1), 47-56, 2014 | 95 | 2014 |
| Learning for constrained optimization: Identifying optimal active constraint sets S Misra, L Roald, Y Ng INFORMS Journal on Computing 34 (1), 463-480, 2022 | 91 | 2022 |
| Chance-constrained AC optimal power flow: A polynomial chaos approach T Mühlpfordt, L Roald, V Hagenmeyer, T Faulwasser, S Misra IEEE Transactions on Power Systems 34 (6), 4806-4816, 2019 | 80 | 2019 |
| Statistical learning for DC optimal power flow Y Ng, S Misra, LA Roald, S Backhaus 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 70 | 2018 |
| Chance-constrained unit commitment with N-1 security and wind uncertainty K Sundar, H Nagarajan, L Roald, S Misra, R Bent, D Bienstock IEEE Transactions on control of network systems 6 (3), 1062-1074, 2019 | 64 | 2019 |
| Optimal power flow with weighted chance constraints and general policies for generation control L Roald, S Misra, M Chertkov, G Andersson 2015 54th IEEE conference on decision and control (CDC), 6927-6933, 2015 | 58 | 2015 |
| An uncertainty management framework for integrated gas-electric energy systems LA Roald, K Sundar, A Zlotnik, S Misra, G Andersson Proceedings of the IEEE 108 (9), 1518-1540, 2020 | 55 | 2020 |
| Strong spatial mixing of list coloring of graphs D Gamarnik, D Katz, S Misra Random Structures & Algorithms 46 (4), 599-613, 2015 | 44 | 2015 |
| Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows M Vuffray, S Misra, M Chertkov 2015 54th IEEE conference on decision and control (CDC), 4571-4578, 2015 | 39 | 2015 |
| Pressure fluctuations in natural gas networks caused by gas-electric coupling M Chertkov, M Fisher, S Backhaus, R Bent, S Misra 2015 48th Hawaii International Conference on System Sciences, 2738-2747, 2015 | 37 | 2015 |
| Optimal power flow with wind power control and limited expected risk of overloads L Roald, G Andersson, S Misra, M Chertkov, S Backhaus 2016 Power systems computation conference (PSCC), 1-7, 2016 | 35* | 2016 |
| Stochastic AC optimal power flow: A data-driven approach I Mezghani, S Misra, D Deka Electric Power Systems Research 189, 106567, 2020 | 34 | 2020 |
| Optimal adaptive linearizations of the AC power flow equations S Misra, DK Molzahn, K Dvijotham 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 32 | 2018 |
| Unit commitment with n-1 security and wind uncertainty K Sundar, H Nagarajan, M Lubin, L Roald, S Misra, R Bent, D Bienstock 2016 Power Systems Computation Conference (PSCC), 1-7, 2016 | 31 | 2016 |
| Optimization-based bound tightening using a strengthened QC-relaxation of the optimal power flow problem K Sundar, H Nagarajan, S Misra, M Lu, C Coffrin, R Bent 2023 62nd IEEE conference on decision and control (CDC), 4598-4605, 2023 | 29 | 2023 |
Marc VuffrayStaff Research Scientist, Los Alamos National Laboratory在 lanl.gov 的电子邮件经过验证
