Maximum Entropy Estimation of Probability Distribution of Variables in Higher Dimensions from Lower Dimensional Data. - Jayajit Das; Sayak Mukherjee; Susan E. Hodge (Entropy, 2015)

Connecting the dots across time: Reconstruction of single cell signaling trajectories using time-stamped data. - Sayak Mukherjee; David Stewart; William Stewart; Lewis L. Lanier; Jayajit Das (CoRR, 2016)

A Hierarchical Design for Damping Control of Wind-Integrated Power Systems Considering Heterogeneous Wind Farm Dynamics. - Sayak Mukherjee; Nan Xue 002; Aranya Chakrabortty (CCTA, 2018)

On Model-Free Reinforcement Learning of Reduced-Order Optimal Control for Singularly Perturbed Systems. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (CDC, 2018)

Block-Decentralized Model-Free Reinforcement Learning Control of Two Time-Scale Networks. - Sayak Mukherjee; Aranya Chakrabortty; He Bai 001 (ACC, 2019)

Modeling and Quantifying the Impact of Wind Power Penetration on Power System Coherency. - Sayak Mukherjee; Aranya Chakrabortty; Saman Babaei (CoRR, 2019)

On Robust Model-Free Reduced-Dimensional Reinforcement Learning Control for Singularly Perturbed Systems. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (ACC, 2020)

Reinforcement Learning Control of Power Systems with Unknown Network Model under Ambient and Forced Oscillations. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (CCTA, 2020)

Reinforcement Learning of Structured Control for Linear Systems with Unknown State Matrix. - Sayak Mukherjee; Thanh Long Vu 002 (CoRR, 2020)

Imposing Robust Structured Control Constraint on Reinforcement Learning of Linear Quadratic Regulator. - Sayak Mukherjee; Thanh Long Vu 002 (CoRR, 2020)

Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. - Thanh Long Vu 002; Sayak Mukherjee; Tim Yin; Renke Huang; Jie Tan 001; Qiuhua Huang (CoRR, 2020)

A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. - Sayak Mukherjee; Veronica Adetola (CCTA, 2021)

Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. - Thanh Long Vu 002; Sayak Mukherjee; Renke Huang; Qiuhua Huang (CDC, 2021)

On the Stochastic Stability of Deep Markov Models. - Ján Drgona; Sayak Mukherjee; Jiaxin Zhang 005; Frank Liu 001; Mahantesh Halappanavar (NeurIPS, 2021)

Reduced-dimensional reinforcement learning control using singular perturbation approximations. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (Autom., 2021)

Development and multi-level validation of a computational model to predict traumatic aortic injury. - Wei Zeng 011; Adrian Caudillo; Sayak Mukherjee; Sang-Hyun Lee; Matthew B. Panzer (Comput. Biol. Medicine, 2021)

Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. - Sayak Mukherjee; Renke Huang; Qiuhua Huang; Thanh Long Vu 002; Tianzhixi Yin (CoRR, 2021)

Data-Driven Pole Placement in LMI Regions with Robustness Constraints. - Sayak Mukherjee; Ramij Raja Hossain (CoRR, 2021)

Safe Reinforcement Learning for Grid Voltage Control. - Thanh Long Vu 002; Sayak Mukherjee; Renke Huang; Qiuhua Huang (CoRR, 2021)

On Distributed Model-Free Reinforcement Learning Control With Stability Guarantee. - Sayak Mukherjee; Thanh Long Vu 002 (IEEE Control. Syst. Lett., 2021)

Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. - Sayak Mukherjee; He Bai 001; Aranya Chakrabortty (Syst. Control. Lett., 2021)

Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. - Sayak Mukherjee; Aranya Chakrabortty; He Bai 001; Atena Darvishi; Bruce Fardanesh (IEEE Trans. Smart Grid, 2021)

Learning the Robust and Structured Control of Unknown Linear Systems. - Sayak Mukherjee; Thanh Long Vu 002 (ACC, 2022)

Neural Lyapunov Differentiable Predictive Control. - Sayak Mukherjee; Ján Drgona; Aaron Tuor; Mahantesh Halappanavar; Draguna L. Vrabie (CDC, 2022)

Data-Driven Pole Placement in LMI Regions with Robustness Guarantees. - Sayak Mukherjee; Ramij Raja Hossain (CDC, 2022)

Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. - Sayak Mukherjee; Sai Pushpak Nandanoori; Sheng Guan; Khushbu Agarwal; Subhrajit Sinha; Soumya Kundu; Seemita Pal; Yinghui Wu 001; Draguna L. Vrabie; Sutanay Choudhury (LoG, 2022)

Learning Stochastic Parametric Differentiable Predictive Control Policies. - Ján Drgona; Sayak Mukherjee; Aaron Tuor; Mahantesh Halappanavar; Draguna L. Vrabie (CoRR, 2022)

Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids. - Thanh Long Vu 002; Sayak Mukherjee; Veronica Adetola (CoRR, 2022)

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. - Sayak Mukherjee; Ramij Raja Hossain; Yuan Liu 023; Wei Du 008; Veronica Adetola; Sheik M. Mohiuddin; Qiuhua Huang; Tianzhixi Yin; Ankit Singhal (CoRR, 2022)

AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning. - Aowabin Rahman; Arnab Bhattacharya 008; Thiagarajan Ramachandran; Sayak Mukherjee; Himanshu Sharma; Ted Fujimoto; Samrat Chatterjee (CoRR, 2022)

Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. - Kyung-bin Kwon; Sayak Mukherjee; Hao Zhu 001; Thanh Long Vu 002 (ACC, 2023)

Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids. - Thanh Long Vu 002; Sayak Mukherjee; Veronica Adetola (ISGT, 2023)

Risk-Constrained Reinforcement Learning for Inverter-Dominated Power System Controls. - Kyung-bin Kwon; Sayak Mukherjee; Thanh Long Vu 002; Hao Zhu 001 (IEEE Control. Syst. Lett., 2023)

McSNAC: A software to approximate first-order signaling networks from mass cytometry data. - Darren Wethington; Sayak Mukherjee; Jayajit Das (Quant. Biol., 2023)

Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix. - Sayak Mukherjee; Thanh Long Vu 002 (IEEE Trans. Autom. Control., 2023)

Deep Multi-Agent Reinforcement Learning for Real-World Signalized Traffic Corridor Control. - Salman Shuvo; Sayak Mukherjee; Samrat Chatterjee; Sonja Glavaski; Draguna L. Vrabie; Geline Canayon; Matthew Juckes; Raimundo Rodulfo (ICMLA, 2024)

Structural Impact of Grid-Forming Inverters on Power System Coherency. - Sayak Mukherjee; Ramij Raja Hossain; Kaustav Chatterjee; Soumya Kundu; Kyung-bin Kwon; Sameer Nekkalapu; Marcelo A. Elizondo (IECON, 2024)

Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. - S. M. Ferdous; Reece Neff; Bo Peng; Salman Shuvo; Marco Minutoli; Sayak Mukherjee; Karol Kowalski; Michela Becchi; Mahantesh Halappanavar (IPDPS, 2024)

texttt{Picasso}: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing. - S. M. Ferdous; Reece Neff; Bo Peng; Salman Shuvo; Marco Minutoli; Sayak Mukherjee; Karol Kowalski; Michela Becchi; Mahantesh Halappanavar (CoRR, 2024)

MAPL: Model Agnostic Peer-to-peer Learning. - Sayak Mukherjee; Andrea Simonetto; Hadi Jamali Rad (CoRR, 2024)

Coherency-Aware Learning Control of Inverter-Dominated Grids: A Distributed Risk-Constrained Approach. - Kyung-bin Kwon; Ramij Raja Hossain; Sayak Mukherjee; Kaustav Chatterjee; Soumya Kundu; Sameer Nekkalapu; Marcelo Elizondo (IEEE Control. Syst. Lett., 2024)

Development of a biofidelic computational model of human pelvis for predicting biomechanical responses and pelvic fractures. - Wei Zeng 011; Sayak Mukherjee; Ryan Neice; Robert S. Salzar; Matthew B. Panzer (Comput. Biol. Medicine, 2024)

CoDe: Blockwise Control for Denoising Diffusion Models. - Anuj Singh; Sayak Mukherjee; Ahmad Beirami; Hadi Jamali Rad (Trans. Mach. Learn. Res., 2025)

An Uncertainty-Aware Data-Driven Predictive Controller for Hybrid Power Plants. - Manavendra Desai; Himanshu Sharma; Sayak Mukherjee; Sonja Glavaski (CoRR, 2025)

Resilient Control of Networked Microgrids Using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. - Sayak Mukherjee; Ramij Raja Hossain; Sheik M. Mohiuddin; Yuan Liu 023; Wei Du 008; Veronica Adetola; Rohit A Jinsiwale; Qiuhua Huang; Tianzhixi Yin; Ankit Singhal (IEEE Trans. Smart Grid, 2025)

Physics-Informed Learning of Proprietary Inverter Models for Grid Dynamic Studies. - Kyung-bin Kwon; Sayak Mukherjee; Ramij Raja Hossain; Marcelo Elizondo (CoRR, 2025)

Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow. - Kaustav Chatterjee; Sameer Nekkalapu; Sayak Mukherjee; Ramij Raja Hossain; Marcelo Elizondo (CoRR, 2025)