Mayank Baranwal

68 papers A* 3A 7B 1C 7Misc 1Journal 44Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning. CoRR Abhinav Raghuvanshi, Mayank Baranwal, Debasish Chatterjee
2026	J	`jnl`	On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning. Trans. Mach. Learn. Res. Abhinav Raghuvanshi, Mayank Baranwal, Debasish Chatterjee
2025	J	`jnl`	DeepMech: A Machine Learning Framework for Chemical Reaction Mechanism Prediction. CoRR Manajit Das, Ajnabiul Hoque, Mayank Baranwal, Raghavan B. Sunoj
2025	A	`conf`	Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. CIKM Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar
2025	J	`jnl`	Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. CoRR Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar
2025	J	`jnl`	On Linear Convergence of Distributed Stochastic Bilevel Optimization over Undirected Networks via Gradient Aggregation. CoRR Ajay Tak, Mayank Baranwal
2025	J	`jnl`	TAR CoRR Aditya Kapoor, Kale-ab Abebe Tessera, Mayank Baranwal, Harshad Khadilkar, Stefano V. Albrecht, Limin Sun
2025	A	`conf`	Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays. AAMAS Aritra Pal, Anandsingh Chauhan, Mayank Baranwal
2025	J	`jnl`	Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays. CoRR Aritra Pal, Anandsingh Chauhan, Mayank Baranwal
2024	A	`conf`	A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. ECAI Kushal Chakrabarti, Mayank Baranwal
2024	J	`jnl`	A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality. CoRR Kushal Chakrabarti, Mayank Baranwal
2024	J	`jnl`	A deep learning architecture for metabolic pathway prediction. Bioinform. Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III
2024	J	`jnl`	Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. CoRR Aditya Kapoor, Sushant Swamy, Kale-ab Abebe Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht
2024	—	`conf`	Calibration Transfer via Knowledge Distillation. ACCV (8) Ramya Hebbalaguppe, Mayank Baranwal, Kartik Anand, Chetan Arora
2024	A	`conf`	Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing. AAMAS Saad Khan, Mayank Baranwal, Srikant Sukumar
2024	J	`jnl`	Distributed Optimization via Energy Conservation Laws in Dilated Coordinates. CoRR Mayank Baranwal, Kushal Chakrabarti
2024	J	`jnl`	Generalized Gradient Flows With Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points. IEEE Trans. Autom. Control. Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota
2024	A	`conf`	Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning. ECAI Aritra Pal, Anandsingh Chauhan, Mayank Baranwal, Ankush Ojha
2024	A	`conf`	ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. ECAI Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj
2024	J	`jnl`	ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots. CoRR Ajnabiul Hoque, Manajit Das, Mayank Baranwal, Raghavan B. Sunoj
2023	J	`jnl`	A scalable optimization framework for refinery operation and management. Comput. Chem. Eng. Mayank Baranwal, Mayur Selukar, Rushi Lotti, Aditya A. Paranjape, Sushanta Majumder, Jerome Rocher
2023	J	`jnl`	Fixed-Time Stable Proximal Dynamical System for Solving MVIPs. IEEE Trans. Autom. Control. Kunal Garg, Mayank Baranwal, Rohit Gupta, Mouhacine Benosman
2023	J	`jnl`	HyWay: Enabling Mingling in the Hybrid World. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Harsh Vijay, Saumay Pushp, Amish Mittal, Praveen Gupta, Meghna Gupta, Sirish Gambhira, Shivang Chopra, Mayank Baranwal, Arshia Arya, Ajay Manchepalli, Venkata N. Padmanabhan
2023	J	`jnl`	Linear Convergence of Pre-Conditioned PI Consensus Algorithm under Restricted Strong Convexity. CoRR Kushal Chakrabarti, Mayank Baranwal
2023	A*	`conf`	PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. AAAI Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary
2022	J	`jnl`	A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. CoRR Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar
2022	J	`jnl`	A unified Maximum Entropy Principle approach for a large class of routing problems. Comput. Ind. Eng. Mayank Baranwal, Lavanya Marla, Carolyn L. Beck, Srinivasa M. Salapaka
2022	A*	`conf`	Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. AAAI Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota
2022	J	`jnl`	Fixed-Time Convergence for a Class of Nonconvex-Nonconcave Min-Max Problems. CoRR Kunal Garg, Mayank Baranwal
2022	J	`jnl`	Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification. IEEE Trans. Inf. Theory Abram Magner, Mayank Baranwal, Alfred O. Hero III
2022	J	`jnl`	Generalized Gradient Flows with Provable Fixed-Time Convergence and Fast Evasion of Non-Degenerate Saddle Points. CoRR Mayank Baranwal, Param Budhraja, Vishal Raj, Ashish R. Hota
2022	J	`jnl`	Optimal schedule generation for single-channel crude transfer using a multi-model approach. Comput. Chem. Eng. Aditya A. Paranjape, Mayank Baranwal, Satyavrat Wagle, Rushi Lotti, Sushanta Majumder, Anne-Laure Bullière
2022	J	`jnl`	PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. CoRR Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary
2022	J	`jnl`	Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar
2022	J	`jnl`	Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions. BMC Bioinform. 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
2021	J	`jnl`	Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. CoRR Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota
2021	—	`conf`	DAMUS: Dynamic Allocation based on Write Frequency in MUlti-Retention STT-RAM based Last Level Caches. ISQED Mayank Baranwal, Udbhav Chugh, Shivang Dalal, Sukarn Agarwal, Hemangee K. Kapoor
2021	A	`conf`	Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CIKM Somjit Nath, Mayank Baranwal, Harshad Khadilkar
2021	J	`jnl`	Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. CoRR Somjit Nath, Mayank Baranwal, Harshad Khadilkar
2021	J	`jnl`	Robust Distributed Fixed-Time Economic Dispatch Under Time-Varying Topology. IEEE Control. Syst. Lett. Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III
2020	—	`conf`	A Fixed-Time Convergent Distributed Algorithm for Strongly Convex Functions in a Time-Varying Network. CDC Kunal Garg, Mayank Baranwal, Dimitra Panagou
2020	J	`jnl`	A deep learning architecture for metabolic pathway prediction. Bioinform. Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III
2020	J	`jnl`	CAPPA: Continuous-Time Accelerated Proximal Point Algorithm for Sparse Recovery. IEEE Signal Process. Lett. Kunal Garg, Mayank Baranwal
2020	J	`jnl`	CAPPA: Continuous-time Accelerated Proximal Point Algorithm for Sparse Recovery. CoRR Kunal Garg, Mayank Baranwal
2020	B	`conf`	The Power of Graph Convolutional Networks to Distinguish Random Graph Models. ISIT Abram Magner, Mayank Baranwal, Alfred O. Hero III
2020	J	`jnl`	The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version. CoRR Abram Magner, Mayank Baranwal, Alfred O. Hero III
2019	J	`jnl`	A Distributed Architecture for Robust and Optimal Control of DC Microgrids. IEEE Trans. Ind. Electron. Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka, Murti V. Salapaka
2019	J	`jnl`	Distributed Fixed-Time Economic Dispatch under Time-Varying Topology and Uncertain Information. CoRR Mayank Baranwal, Kunal Garg, Dimitra Panagou, Alfred O. Hero III
2019	J	`jnl`	Distributed Optimization in Fixed-Time. CoRR Mayank Baranwal, Kunal Garg, Alfred O. Hero III, Dimitra Panagou
2019	—	`conf`	Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CDC Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
2019	J	`jnl`	Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CoRR Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
2019	A*	`conf`	On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. AAAI Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
2019	J	`jnl`	The Power of Graph Convolutional Networks to Distinguish Random Graph Models. CoRR Abram Magner, Mayank Baranwal, Alfred O. Hero III
2018	Misc	`conf`	CRT-KPS: A Key Predistribution Schemes Using CRT. ACISP Pinaki Sarkar, Mayank Baranwal, Sukumar Nandi
2018	—	`conf`	Droopless Active and Reactive Power Sharing in Parallel Operated Inverters in Islanded Microgrids. CDC Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka
2018	J	`jnl`	On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. CoRR Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
2017	C	`conf`	A decentralized scalable control architecture for islanded operation of parallel DC/AC inverters with prescribed power sharing. ACC Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka
2017	C	`conf`	A robust scheme for distributed control of power converters in DC microgrids with time-varying power sharing. ACC Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka, Murti V. Salapaka
2017	C	`conf`	Clustering of power networks: An information-theoretic perspective. ACC Mayank Baranwal, Srinivasa M. Salapaka
2017	C	`conf`	DC bus voltage regulation using photovoltaic module: A non-iterative method. ACC Alireza Askarian, Mayank Baranwal, Srinivasa M. Salapaka
2017	C	`conf`	Multiple traveling salesmen and related problems: A maximum-entropy principle based approach. ACC Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka
2017	J	`jnl`	Robust Distributed Control of DC Microgrids with Time-Varying Power Sharing. CoRR Mayank Baranwal, Alireza Askarian, Srinivasa M. Salapaka
2016	J	`jnl`	A Deterministic Annealing Approach to the Multiple Traveling Salesmen and Related Problems. CoRR Mayank Baranwal, Brian Roehl, Srinivasa M. Salapaka
2016	J	`jnl`	Robust Control Framework for Time-Varying Power-Sharing among Distributed Energy Resources. CoRR Mayank Baranwal, Srinivasa M. Salapaka
2016	J	`jnl`	Robust Decentralized Voltage Control of DC-DC Converters with Applications to Power Sharing and Ripple Sharing. CoRR Mayank Baranwal, Srinivasa M. Salapaka, Murti V. Salapaka
2016	C	`conf`	Robust decentralized voltage control of DC-DC converters with applications to power sharing and ripple sharing. ACC Mayank Baranwal, Srinivasa M. Salapaka, Murti V. Salapaka
2016	C	`conf`	Vehicle Routing Problem with Time Windows: A Deterministic Annealing approach. ACC Mayank Baranwal, Pratik M. Parekh, Lavanya Marla, Srinivasa M. Salapaka, Carolyn L. Beck
2011	J	`jnl`	Abnormal Motion Detection in Real Time Using Video Surveillance and Body Sensors. Int. J. Inf. Acquis. Mayank Baranwal, Muhammad Tahir Khan, Clarence W. de Silva