Mayank Baranwal

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 51

Top Topics

Reinforcement Learning

Random Graph Models

Maximum Entropy

Top Venues

Publications

Kushal Chakrabarti, Mayank Baranwal
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. CoRR (2024)
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. IEEE Trans. Autom. Control. 69 (4) (2024)
Saad Khan, Mayank Baranwal, Srikant Sukumar
Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing. AAMAS (2024)
Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. CoRR (2024)
Mayank Baranwal, Mayur Selukar, Rushi Lotti, Aditya A. Paranjape, Sushanta Majumder, Jerome Rocher
A scalable optimization framework for refinery operation and management. Comput. Chem. Eng. 174 (2023)
Harsh Vijay, Saumay Pushp, Amish Mittal, Praveen Gupta, Meghna Gupta, Sirish Gambhira, Shivang Chopra, Mayank Baranwal, Arshia Arya, Ajay Manchepalli, Venkata N. Padmanabhan
HyWay: Enabling Mingling in the Hybrid World. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Kushal Chakrabarti, Mayank Baranwal
Linear Convergence of Pre-Conditioned PI Consensus Algorithm under Restricted Strong Convexity. CoRR (2023)
Kunal Garg, Mayank Baranwal, Rohit Gupta, Mouhacine Benosman
Fixed-Time Stable Proximal Dynamical System for Solving MVIPs. IEEE Trans. Autom. Control. 68 (8) (2023)
Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. AAAI (2023)
Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish Hota
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. AAAI (2022)
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 (2022)
Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar
Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. 34 (3) (2022)
Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. CoRR (2022)
Aditya A. Paranjape, Mayank Baranwal, Satyavrat Wagle, Rushi Lotti, Sushanta Majumder, Anne-Laure Bullière
Optimal schedule generation for single-channel crude transfer using a multi-model approach. Comput. Chem. Eng. 160 (2022)
Mayank Baranwal, Lavanya Marla, Carolyn L. Beck, Srinivasa M. Salapaka
A unified Maximum Entropy Principle approach for a large class of routing problems. Comput. Ind. Eng. 171 (2022)
Kunal Garg, Mayank Baranwal
Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems. CoRR (2022)
Abram Magner, Mayank Baranwal, Alfred O. Hero III
Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification. IEEE Trans. Inf. Theory 68 (5) (2022)
Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. CoRR (2022)
Mayank Baranwal, Abram Magner, Jacob Saldinger, Emine S. Turali-Emre, Paolo Elvati, Shivani Kozarekar, J. Scott Vanepps, Nicholas A. Kotov, Angela Violi, Alfred O. Hero III
Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions. BMC Bioinform. 23 (1) (2022)
Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III
Robust Distributed Fixed-Time Economic Dispatch Under Time-Varying Topology. IEEE Control. Syst. Lett. 5 (4) (2021)
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CIKM (2021)
Mayank Baranwal, Udbhav Chugh, Shivang Dalal, Sukarn Agarwal, Hemangee K. Kapoor
DAMUS: Dynamic Allocation based on Write Frequency in MUlti-Retention STT-RAM based Last Level Caches. ISQED (2021)
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CoRR (2021)
Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish Hota
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. CoRR (2021)
Abram Magner, Mayank Baranwal, Alfred O. Hero III
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version. CoRR (2020)
Kunal Garg, Mayank Baranwal
CAPPA: Continuous-Time Accelerated Proximal Point Algorithm for Sparse Recovery. IEEE Signal Process. Lett. 27 (2020)
Kunal Garg, Mayank Baranwal, Dimitra Panagou
A Fixed-Time Convergent Distributed Algorithm for Strongly Convex Functions in a Time-Varying Network. CDC (2020)
Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III
A deep learning architecture for metabolic pathway prediction. Bioinform. 36 (8) (2020)
Kunal Garg, Mayank Baranwal
CAPPA: Continuous-time Accelerated Proximal Point Algorithm for Sparse Recovery. CoRR (2020)
Abram Magner, Mayank Baranwal, Alfred O. Hero III
The Power of Graph Convolutional Networks to Distinguish Random Graph Models. ISIT (2020)
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. AAAI (2019)
Mayank Baranwal, Kunal Garg, Alfred O. Hero III, Dimitra Panagou
Distributed Optimization in Fixed-Time. CoRR (2019)
Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III
Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information. CoRR (2019)
Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka, Murti V. Salapaka
A Distributed Architecture for Robust and Optimal Control of DC Microgrids. IEEE Trans. Ind. Electron. 66 (4) (2019)
Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CDC (2019)
Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CoRR (2019)
Abram Magner, Mayank Baranwal, Alfred O. Hero III
The Power of Graph Convolutional Networks to Distinguish Random Graph Models. CoRR (2019)
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. CoRR (2018)
Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka
Droopless Active and Reactive Power Sharing in Parallel Operated Inverters in Islanded Microgrids. CDC (2018)
Pinaki Sarkar, Mayank Baranwal, Sukumar Nandi
CRT-KPS: A Key Predistribution Schemes Using CRT. ACISP (2018)
Mayank Baranwal, Srinivasa M. Salapaka
Clustering of power networks: An information-theoretic perspective. ACC (2017)
Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka
Robust Distributed Control of DC Microgrids with Time-Varying Power Sharing. CoRR (2017)
Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka
DC bus voltage regulation using photovoltaic module: A non-iterative method. ACC (2017)
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)
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)
Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka
Multiple traveling salesmen and related problems: A maximum-entropy principle based approach. ACC (2017)
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 (2016)
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)
Mayank Baranwal, Srinivasa M. Salapaka
Robust Control Framework for Time-Varying Power-Sharing among Distributed Energy Resources. CoRR (2016)
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)
Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka
A Deterministic Annealing Approach to the Multiple Traveling Salesmen and Related Problems. CoRR (2016)
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) (2011)