Mayank Baranwal

According to our database, Mayank Baranwal authored at least 45 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generalized Gradient Flows With Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points.

Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota

IEEE Trans. Autom. Control., April, 2024

Distributed Optimization via Energy Conservation Laws in Dilated Coordinates.

Mayank Baranwal, Kushal Chakrabarti

CoRR, 2024

Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning.

Aritra Pal, Anandsingh Chauhan, Mayank Baranwal, Ankush Ojha

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots.

Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality.

Kushal Chakrabarti, Mayank Baranwal

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing.

Saad Khan, Mayank Baranwal, Srikant Sukumar

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Fixed-Time Stable Proximal Dynamical System for Solving MVIPs.

Kunal Garg, Mayank Baranwal, Rohit Gupta, Mouhacine Benosman

IEEE Trans. Autom. Control., August, 2023

A scalable optimization framework for refinery operation and management.

Mayank Baranwal, Mayur Selukar, Rushi Lotti, Aditya A. Paranjape, Sushanta Majumder, Jerome Rocher

Comput. Chem. Eng., June, 2023

HyWay: Enabling Mingling in the Hybrid World.

Harsh Vijay, Saumay Pushp, Amish Mittal, Praveen Gupta, Meghna Gupta, Sirish Gambhira, Shivang Chopra, Mayank Baranwal, Arshia Arya, Ajay Manchepalli, Venkata N. Padmanabhan

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

Linear Convergence of Pre-Conditioned PI Consensus Algorithm under Restricted Strong Convexity.

Kushal Chakrabarti, Mayank Baranwal

CoRR, 2023

PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks.

Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification.

Abram Magner, Mayank Baranwal, Alfred O. Hero III

IEEE Trans. Inf. Theory, 2022

Scalable multi-product inventory control with lead time constraints using reinforcement learning.

Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar

Neural Comput. Appl., 2022

Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems.

Kunal Garg, Mayank Baranwal

CoRR, 2022

A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management.

Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar

CoRR, 2022

Optimal schedule generation for single-channel crude transfer using a multi-model approach.

Aditya A. Paranjape, Mayank Baranwal, Satyavrat Wagle, Rushi Lotti, Sushanta Majumder, Anne-Laure Bullière

Comput. Chem. Eng., 2022

A unified Maximum Entropy Principle approach for a large class of routing problems.

Mayank Baranwal, Lavanya Marla, Carolyn L. Beck, Srinivasa M. Salapaka

Comput. Ind. Eng., 2022

Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions.

Mayank Baranwal, Abram Magner, Jacob Saldinger, Emine Sumeyra Turali-Emre, Paolo Elvati, Shivani Kozarekar, J. Scott Vanepps, Nicholas A. Kotov, Angela Violi, Alfred O. Hero III

BMC Bioinform., 2022

Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows.

Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robust Distributed Fixed-Time Economic Dispatch Under Time-Varying Topology.

Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III

IEEE Control. Syst. Lett., 2021

DAMUS: Dynamic Allocation based on Write Frequency in MUlti-Retention STT-RAM based Last Level Caches.

Mayank Baranwal, Udbhav Chugh, Shivang Dalal, Sukarn Agarwal, Hemangee K. Kapoor

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays.

Somjit Nath, Mayank Baranwal, Harshad Khadilkar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

CAPPA: Continuous-Time Accelerated Proximal Point Algorithm for Sparse Recovery.

Kunal Garg, Mayank Baranwal

IEEE Signal Process. Lett., 2020

The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version.

Abram Magner, Mayank Baranwal, Alfred O. Hero III

CoRR, 2020

A deep learning architecture for metabolic pathway prediction.

Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III

Bioinform., 2020

The Power of Graph Convolutional Networks to Distinguish Random Graph Models.

Abram Magner, Mayank Baranwal, Alfred O. Hero III

Proceedings of the IEEE International Symposium on Information Theory, 2020

A Fixed-Time Convergent Distributed Algorithm for Strongly Convex Functions in a Time-Varying Network.

Kunal Garg, Mayank Baranwal, Dimitra Panagou

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

A Distributed Architecture for Robust and Optimal Control of DC Microgrids.

Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka, Murti V. Salapaka

IEEE Trans. Ind. Electron., 2019

Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information.

Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III

CoRR, 2019

Distributed Optimization in Fixed-Time.

Mayank Baranwal, Kunal Garg, Alfred O. Hero III, Dimitra Panagou

CoRR, 2019

Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach.

Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset.

Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Droopless Active and Reactive Power Sharing in Parallel Operated Inverters in Islanded Microgrids.

Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

CRT-KPS: A Key Predistribution Schemes Using CRT.

Pinaki Sarkar, Mayank Baranwal, Sukumar Nandi

Proceedings of the Information Security and Privacy - 23rd Australasian Conference, 2018

2017

Robust Distributed Control of DC Microgrids with Time-Varying Power Sharing.

Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka

CoRR, 2017

Clustering of power networks: An information-theoretic perspective.

Mayank Baranwal, Srinivasa M. Salapaka

Proceedings of the 2017 American Control Conference, 2017

Multiple traveling salesmen and related problems: A maximum-entropy principle based approach.

Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka

Proceedings of the 2017 American Control Conference, 2017

A robust scheme for distributed control of power converters in DC microgrids with time-varying power sharing.

Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka, Murti V. Salapaka

Proceedings of the 2017 American Control Conference, 2017

A decentralized scalable control architecture for islanded operation of parallel DC/AC inverters with prescribed power sharing.

Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka

Proceedings of the 2017 American Control Conference, 2017

DC bus voltage regulation using photovoltaic module: A non-iterative method.

Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka

Proceedings of the 2017 American Control Conference, 2017

2016

Robust Control Framework for Time-Varying Power-Sharing among Distributed Energy Resources.

Mayank Baranwal, Srinivasa M. Salapaka

CoRR, 2016

A Deterministic Annealing Approach to the Multiple Traveling Salesmen and Related Problems.

Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka

CoRR, 2016

Robust decentralized voltage control of DC-DC converters with applications to power sharing and ripple sharing.

Mayank Baranwal, Srinivasa M. Salapaka, Murti V. Salapaka

Proceedings of the 2016 American Control Conference, 2016

Vehicle Routing Problem with Time Windows: A Deterministic Annealing approach.

Mayank Baranwal, Pratik M. Parekh, Lavanya Marla, Srinivasa M. Salapaka, Carolyn L. Beck

Proceedings of the 2016 American Control Conference, 2016

2011

Abnormal Motion Detection in Real Time Using Video Surveillance and Body Sensors.

Mayank Baranwal, Muhammad Tahir Khan, Clarence W. de Silva

Int. J. Inf. Acquis., 2011