• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 45 matches

• 2023
• 
  Darren Wethington, Sayak Mukherjee, Jayajit Das:
  McSNAC: A software to approximate first-order signaling networks from mass cytometry data. Quant. Biol. 11(1): 59 (2023)
• 
  Sayak Mukherjee, Thanh Long Vu:
  Reinforcement Learning of Structured Stabilizing Control for Linear Systems With Unknown State Matrix. IEEE Trans. Autom. Control. 68(3): 1746-1752 (2023)
• 
  Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu, Thanh Long Vu:
  Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control. ACC 2023: 4483-4488
• 
  Thanh Long Vu, Sayak Mukherjee, Veronica Adetola:
  Resilient Communication Scheme for Distributed Decision of Interconnecting Networks of Microgrids. ISGT 2023: 1-5
• 
  Sayak Mukherjee, Ramij Raja Hossain, Sheik M. Mohiuddin, Yuan Liu, Wei Du, Veronica Adetola, Rohit A Jinsiwale, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal:
  Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations. CoRR abs/2311.12264 (2023)
• 2022
• 
  Sayak Mukherjee, Thanh Long Vu:
  Learning the Robust and Structured Control of Unknown Linear Systems. ACC 2022: 4758-4763
• 
  Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
  Neural Lyapunov Differentiable Predictive Control. CDC 2022: 2097-2104
• 
  Sayak Mukherjee, Ramij Raja Hossain:
  Data-Driven Pole Placement in LMI Regions with Robustness Guarantees. CDC 2022: 4010-4015
• 
  Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury:
  Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG 2022: 45
• 
  Bodepu Sai Tirumala Naidu, Shreya Biswas, Rounak Chatterjee, Sayak Mandal, Srijan Pratihar, Ayan Chatterjee, Arnab Raha, Amitava Mukherjee, Janet Paluh:
  SCENIC: An Area and Energy-Efficient CNN-based Hardware Accelerator for Discernable Classification of Brain Pathologies using MRI. VLSID 2022: 168-173
• 
  Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
  Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR abs/2203.01447 (2022)
• 
  Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
  Neural Lyapunov Differentiable Predictive Control. CoRR abs/2205.10728 (2022)
• 
  Thanh Long Vu, Sayak Mukherjee, Veronica Adetola:
  Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids. CoRR abs/2209.07385 (2022)
• 
  Sayak Mukherjee, Ramij Raja Hossain, Yuan Liu, Wei Du, Veronica Adetola, Sheik M. Mohiuddin, Qiuhua Huang, Tianzhixi Yin, Ankit Singhal:
  Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning. CoRR abs/2212.08973 (2022)
• 
  Aowabin Rahman, Arnab Bhattacharya, Thiagarajan Ramachandran, Sayak Mukherjee, Himanshu Sharma, Ted Fujimoto, Samrat Chatterjee:
  AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning. CoRR abs/2212.10064 (2022)
• 2021
• 
  Sayak Mukherjee, He Bai, Aranya Chakrabortty:
  Reduced-dimensional reinforcement learning control using singular perturbation approximations. Autom. 126: 109451 (2021)
• 
  Wei Zeng, Adrian Caudillo, Sayak Mukherjee, Sang-Hyun Lee, Matthew B. Panzer:
  Development and multi-level validation of a computational model to predict traumatic aortic injury. Comput. Biol. Medicine 136: 104700 (2021)
• 
  Sayak Mukherjee, Thanh Long Vu:
  On Distributed Model-Free Reinforcement Learning Control With Stability Guarantee. IEEE Control. Syst. Lett. 5(5): 1615-1620 (2021)
• 
  Sayak Mukherjee, He Bai, Aranya Chakrabortty:
  Model-based and model-free designs for an extended continuous-time LQR with exogenous inputs. Syst. Control. Lett. 154: 104983 (2021)
• 
  Sayak Mukherjee, Aranya Chakrabortty, He Bai, Atena Darvishi, Bruce Fardanesh:
  Scalable Designs for Reinforcement Learning-Based Wide-Area Damping Control. IEEE Trans. Smart Grid 12(3): 2389-2401 (2021)
• 
  Sayak Mukherjee, Thanh Long Vu:
  On Distributed Model-Free Reinforcement Learning Control with Stability Guarantee. ACC 2021: 2175-2180
• 
  Sayak Mukherjee, Veronica Adetola:
  A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CCTA 2021: 905-910
• 
  Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
  Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CDC 2021: 3652-3657
• 
  Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
  On the Stochastic Stability of Deep Markov Models. NeurIPS 2021: 24033-24047
• 
  Sayak Mukherjee, Renke Huang, Qiuhua Huang, Thanh Long Vu, Tianzhixi Yin:
  Scalable Voltage Control using Structure-Driven Hierarchical Deep Reinforcement Learning. CoRR abs/2102.00077 (2021)
• 
  Sayak Mukherjee, Veronica Adetola:
  A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks. CoRR abs/2102.00573 (2021)
• 
  Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
  Barrier Function-based Safe Reinforcement Learning for Emergency Control of Power Systems. CoRR abs/2103.14186 (2021)
• 
  Ján Drgona, Sayak Mukherjee, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar:
  On the Stochastic Stability of Deep Markov Models. CoRR abs/2111.04601 (2021)
• 
  Sayak Mukherjee, Ramij Raja Hossain:
  Data-Driven Pole Placement in LMI Regions with Robustness Constraints. CoRR abs/2111.06590 (2021)
• 
  Thanh Long Vu, Sayak Mukherjee, Renke Huang, Qiuhua Huang:
  Safe Reinforcement Learning for Grid Voltage Control. CoRR abs/2112.01484 (2021)

skipping 15 more matches