A deep learning architecture for metabolic pathway prediction M Baranwal, A Magner, P Elvati, J Saldinger, A Violi, AO Hero Bioinformatics 40 (7), 2024 | 81* | 2024 |
A distributed architecture for robust and optimal control of DC microgrids M Baranwal, A Askarian, S Salapaka, M Salapaka IEEE Transactions on Industrial Electronics 66 (4), 3082-3092, 2018 | 73 | 2018 |
Recurrent neural networks enable design of multifunctional synthetic human gut microbiome dynamics M Baranwal, RL Clark, J Thompson, Z Sun, AO Hero, OS Venturelli Elife 11, e73870, 2022 | 34* | 2022 |
Fixed-time stable proximal dynamical system for solving MVIPs K Garg, M Baranwal, R Gupta, M Benosman IEEE Transactions on Automatic Control 68 (8), 5029-5036, 2022 | 33* | 2022 |
Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions M Baranwal, A Magner, J Saldinger, ES Turali-Emre, P Elvati, ... BMC bioinformatics 23 (1), 370, 2022 | 32 | 2022 |
Scalable multi-product inventory control with lead time constraints using reinforcement learning H Meisheri, NN Sultana, M Baranwal, V Baniwal, S Nath, S Verma, ... Neural Computing and Applications 34 (3), 1735-1757, 2022 | 29 | 2022 |
Robust distributed fixed-time economic dispatch under time-varying topology M Baranwal, K Garg, D Panagou, AO Hero IEEE Control Systems Letters 5 (4), 1183-1188, 2020 | 27 | 2020 |
Revisiting state augmentation methods for reinforcement learning with stochastic delays S Nath, M Baranwal, H Khadilkar Proceedings of the 30th ACM International Conference on Information …, 2021 | 23 | 2021 |
Clustering and supervisory voltage control in power systems M Baranwal, S Salapaka International Journal of Electrical Power & Energy Systems 109, 641-651, 2019 | 23 | 2019 |
A fixed-time convergent distributed algorithm for strongly convex functions in a time-varying network K Garg, M Baranwal, D Panagou 2020 59th IEEE Conference on Decision and Control (CDC), 4405-4410, 2020 | 21 | 2020 |
CAPPA: Continuous-time accelerated proximal point algorithm for sparse recovery K Garg, M Baranwal IEEE Signal Processing Letters 27, 1760-1764, 2020 | 21 | 2020 |
Multiple traveling salesmen and related problems: A maximum-entropy principle based approach M Baranwal, B Roehl, SM Salapaka 2017 American Control Conference (ACC), 3944-3949, 2017 | 20* | 2017 |
Robust decentralized voltage control of dc-dc converters with applications to power sharing and ripple sharing M Baranwal, SM Salapaka, MV Salapaka 2016 American Control Conference (ACC), 7444-7449, 2016 | 19 | 2016 |
The power of graph convolutional networks to distinguish random graph models A Magner, M Baranwal, AO Hero 2020 IEEE International Symposium on Information Theory (ISIT), 2664-2669, 2020 | 15* | 2020 |
Vehicle routing problem with time windows: A deterministic annealing approach M Baranwal, PM Parekh, L Marla, SM Salapaka, CL Beck 2016 American control conference (ACC), 790-795, 2016 | 15 | 2016 |
Fixed-time distributed optimization under time-varying communication topology K Garg, M Baranwal, AO Hero, D Panagou arXiv preprint arXiv:1905.10472, 2019 | 14 | 2019 |
Abnormal motion detection in real time using video surveillance and body sensors M Baranwal, MT Khan, CW de Silva International Journal of Information Acquisition 8 (02), 103-116, 2011 | 14 | 2011 |
Clustering with capacity and size constraints: A deterministic approach M Baranwal, SM Salapaka 2017 Indian Control Conference (ICC), 251-256, 2017 | 13 | 2017 |
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset A Srivastava, M Baranwal, S Salapaka arXiv preprint arXiv:1811.00102, 2018 | 12 | 2018 |
Fundamental limits of deep graph convolutional networks for graph classification A Magner, M Baranwal, AO Hero IEEE transactions on information theory 68 (5), 3218-3233, 2022 | 9* | 2022 |