Mayank Baranwal
Mayank Baranwal
Senior Scientist at TCS Research, Adjunct Professor at IITB, Guest Faculty at IIM Mumbai
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Cited by
Cited by
A deep learning architecture for metabolic pathway prediction
M Baranwal, A Magner, P Elvati, J Saldinger, A Violi, AO Hero
Bioinformatics, 2019
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
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
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
Fixed-time stable proximal dynamical system for solving MVIPs
K Garg, M Baranwal, R Gupta, M Benosman
IEEE Transactions on Automatic Control, 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
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
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
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
CAPPA: Continuous-time accelerated proximal point algorithm for sparse recovery
K Garg, M Baranwal
IEEE Signal Processing Letters 27, 1760-1764, 2020
Clustering and supervisory voltage control in power systems
M Baranwal, S Salapaka
International Journal of Electrical Power & Energy Systems 109, 641-651, 2019
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
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
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
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
Fixed-time distributed optimization under time-varying communication topology
K Garg, M Baranwal, AO Hero, D Panagou
arXiv preprint arXiv:1905.10472, 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
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
Clustering with capacity and size constraints: A deterministic approach
M Baranwal, SM Salapaka
2017 Indian Control Conference (ICC), 251-256, 2017
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
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