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Mayank Baranwal
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2020 – today
- 2024
- [j14]Mayank Baranwal
, Param Budhraja
Generalized Gradient Flows With Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points. IEEE Trans. Autom. Control. 69(4): 2281-2293 (2024) - [c21]Saad Khan, Mayank Baranwal, Srikant Sukumar:
Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing. AAMAS 2024: 2330-2332 - [c20]Aritra Pal, Anandsingh Chauhan, Mayank Baranwal, Ankush Ojha:
Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning. ECAI 2024: 1911-1918 - [c19]Kushal Chakrabarti
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. ECAI 2024: 2402-2409 - [c18]Ajnabiul Hoque
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. ECAI 2024: 2645-2652 - [i21]Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj:
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. CoRR abs/2407.10090 (2024) - [i20]Kushal Chakrabarti, Mayank Baranwal:
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. CoRR abs/2407.12629 (2024) - [i19]Mayank Baranwal, Kushal Chakrabarti:
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates. CoRR abs/2409.19279 (2024) - 2023
- [j13]Mayank Baranwal
A scalable optimization framework for refinery operation and management. Comput. Chem. Eng. 174: 108242 (2023) - [j12]Harsh Vijay
HyWay: Enabling Mingling in the Hybrid World. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 77:1-77:33 (2023) - [j11]Kunal Garg
Fixed-Time Stable Proximal Dynamical System for Solving MVIPs. IEEE Trans. Autom. Control. 68(8): 5029-5036 (2023) - [c17]Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary:
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. AAAI 2023: 14757-14764 - [i18]Kushal Chakrabarti, Mayank Baranwal:
Linear Convergence of Pre-Conditioned PI Consensus Algorithm under Restricted Strong Convexity. CoRR abs/2310.00419 (2023) - 2022
- [j10]Mayank Baranwal, Abram Magner, Jacob Saldinger, Emine Sumeyra Turali-Emre
Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions. BMC Bioinform. 23(1): 370 (2022) - [j9]Mayank Baranwal
A unified Maximum Entropy Principle approach for a large class of routing problems. Comput. Ind. Eng. 171: 108383 (2022) - [j8]Aditya A. Paranjape
Optimal schedule generation for single-channel crude transfer using a multi-model approach. Comput. Chem. Eng. 160: 107732 (2022) - [j7]Hardik Meisheri
Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. 34(3): 1735-1757 (2022) - [j6]Abram Magner
Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification. IEEE Trans. Inf. Theory 68(5): 3218-3233 (2022) - [c16]Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota:
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. AAAI 2022: 6115-6122 - [i17]Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. CoRR abs/2203.00885 (2022) - [i16]Kunal Garg, Mayank Baranwal:
Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems. CoRR abs/2207.12845 (2022) - [i15]Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary:
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. CoRR abs/2212.02397 (2022) - [i14]Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota:
Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points. CoRR abs/2212.03765 (2022) - 2021
- [j5]Mayank Baranwal
Robust Distributed Fixed-Time Economic Dispatch Under Time-Varying Topology. IEEE Control. Syst. Lett. 5(4): 1183-1188 (2021) - [c15]Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CIKM 2021: 1346-1355 - [c14]Mayank Baranwal, Udbhav Chugh, Shivang Dalal, Sukarn Agarwal
DAMUS: Dynamic Allocation based on Write Frequency in MUlti-Retention STT-RAM based Last Level Caches. ISQED 2021: 469-475 - [i13]Somjit Nath, Mayank Baranwal, Harshad Khadilkar:
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CoRR abs/2108.07555 (2021) - [i12]Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota:
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. CoRR abs/2112.01363 (2021) - 2020
- [j4]Mayank Baranwal
A deep learning architecture for metabolic pathway prediction. Bioinform. 36(8): 2547-2553 (2020) - [j3]Kunal Garg
CAPPA: Continuous-Time Accelerated Proximal Point Algorithm for Sparse Recovery. IEEE Signal Process. Lett. 27: 1760-1764 (2020) - [c13]Kunal Garg
A Fixed-Time Convergent Distributed Algorithm for Strongly Convex Functions in a Time-Varying Network. CDC 2020: 4405-4410 - [c12]Abram Magner, Mayank Baranwal, Alfred O. Hero III:
The Power of Graph Convolutional Networks to Distinguish Random Graph Models. ISIT 2020: 2664-2669 - [i11]Abram Magner, Mayank Baranwal, Alfred O. Hero III:
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version. CoRR abs/2002.05678 (2020) - [i10]Kunal Garg, Mayank Baranwal:
CAPPA: Continuous-time Accelerated Proximal Point Algorithm for Sparse Recovery. CoRR abs/2006.02537 (2020)
2010 – 2019
- 2019
- [j2]Mayank Baranwal
A Distributed Architecture for Robust and Optimal Control of DC Microgrids. IEEE Trans. Ind. Electron. 66(4): 3082-3092 (2019) - [c11]Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. AAAI 2019: 5000-5007 - [c10]Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka:
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CDC 2019: 3948-3953 - [i9]Mayank Baranwal, Kunal Garg, Alfred O. Hero III, Dimitra Panagou:
Distributed Optimization in Fixed-Time. CoRR abs/1905.10472 (2019) - [i8]Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka:
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CoRR abs/1907.08720 (2019) - [i7]Abram Magner, Mayank Baranwal, Alfred O. Hero III:
The Power of Graph Convolutional Networks to Distinguish Random Graph Models. CoRR abs/1910.12954 (2019) - [i6]Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III:
Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information. CoRR abs/1910.14214 (2019) - 2018
- [c9]Pinaki Sarkar, Mayank Baranwal, Sukumar Nandi
CRT-KPS: A Key Predistribution Schemes Using CRT. ACISP 2018: 821-830 - [c8]Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka:
Droopless Active and Reactive Power Sharing in Parallel Operated Inverters in Islanded Microgrids. CDC 2018: 3427-3432 - [i5]Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. CoRR abs/1811.00102 (2018) - 2017
- [c7]Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka, Murti V. Salapaka:
A robust scheme for distributed control of power converters in DC microgrids with time-varying power sharing. ACC 2017: 1413-1418 - [c6]Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka:
A decentralized scalable control architecture for islanded operation of parallel DC/AC inverters with prescribed power sharing. ACC 2017: 1419-1424 - [c5]Mayank Baranwal, Srinivasa M. Salapaka:
Clustering of power networks: An information-theoretic perspective. ACC 2017: 3323-3328 - [c4]Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka:
Multiple traveling salesmen and related problems: A maximum-entropy principle based approach. ACC 2017: 3944-3949 - [c3]Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka:
DC bus voltage regulation using photovoltaic module: A non-iterative method. ACC 2017: 4099-4104 - [i4]Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka:
Robust Distributed Control of DC Microgrids with Time-Varying Power Sharing. CoRR abs/1701.03065 (2017) - 2016
- [c2]Mayank Baranwal, Pratik M. Parekh, Lavanya Marla, Srinivasa M. Salapaka, Carolyn L. Beck:
Vehicle Routing Problem with Time Windows: A Deterministic Annealing approach. ACC 2016: 790-795 - [c1]Mayank Baranwal, Srinivasa M. Salapaka, Murti V. Salapaka:
Robust decentralized voltage control of DC-DC converters with applications to power sharing and ripple sharing. ACC 2016: 7444-7449 - [i3]Mayank Baranwal, Srinivasa M. Salapaka, Murti V. Salapaka:
Robust Decentralized Voltage Control of DC-DC Converters with Applications to Power Sharing and Ripple Sharing. CoRR abs/1604.03573 (2016) - [i2]Mayank Baranwal, Srinivasa M. Salapaka:
Robust Control Framework for Time-Varying Power-Sharing among Distributed Energy Resources. CoRR abs/1604.04154 (2016) - [i1]Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka:
A Deterministic Annealing Approach to the Multiple Traveling Salesmen and Related Problems. CoRR abs/1604.04169 (2016) - 2011
- [j1]Mayank Baranwal, Muhammad Tahir Khan, Clarence W. de Silva:
Abnormal Motion Detection in Real Time Using Video Surveillance and Body Sensors. Int. J. Inf. Acquis. 8(2): 103-116 (2011)
Coauthor Index
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