Chayan Banerjee

According to our database, Chayan Banerjee authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Breaking the Epistemic Trap: Active Perception Under Compound Uncertainty.

Chayan Banerjee, Ethan Goan

CoRR, May, 2026

Enhancing Exploration in Actor-Critic Algorithms: An Approach to Incentivize Plausible Novel States.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

IEEE Trans. Cybern., April, 2026

Physics-informed Machine Learning for Medical Image Analysis.

Chayan Banerjee, Kien Nguyen, Olivier Salvado, Truyen Tran, Clinton Fookes

ACM Comput. Surv., March, 2026

CWM: Contrastive World Models for Action Feasibility Learning in Embodied Agent Pipelines.

Chayan Banerjee

CoRR, February, 2026

Sustainable Multi-Agent Crowdsourcing via Physics-Informed Bandits.

Chayan Banerjee

CoRR, February, 2026

Physics-Informed Neuro-Symbolic Recommender System: A Dual-Physics Approach for Personalized Nutrition.

Chayan Banerjee

CoRR, January, 2026

Adaptive physics-informed machine learning for bus travel time prediction: Solving the peak prediction problem.

Atmadip Goswami, Chayan Banerjee, Dhivya Bharathi, Lelitha Vanajakshi

Appl. Soft Comput., 2026

2025

Loid: lane occlusion inpainting and detection for enhanced autonomous driving systems.

Aayush Agrawal, Ashmitha Jaysi Sivakumar, Ibrahim Kaif, Chayan Banerjee

Mach. Vis. Appl., November, 2025

Reinforcement Learning Based Traffic Signal Design to Minimize Queue Lengths.

Anirud Nandakumar, Chayan Banerjee, Lelitha Devi Vanajakshi

CoRR, September, 2025

Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping.

Mohammad Saif Nazir, Chayan Banerjee

CoRR, March, 2025

Mining-Gym: A Configurable RL Benchmarking Environment for Truck Dispatch Scheduling.

Chayan Banerjee, Kien Nguyen, Clinton Fookes

CoRR, March, 2025

Physics-Informed Computer Vision: A Review and Perspectives.

Chayan Banerjee, Kien Nguyen, Clinton Fookes, George E. Karniadakis

ACM Comput. Surv., January, 2025

A survey on physics informed reinforcement learning: Review and open problems.

Chayan Banerjee, Kien Nguyen Thanh, Clinton Fookes, Maziar Raissi

Expert Syst. Appl., 2025

Physics-Informed Operator Learning for Hemodynamic Modeling.

Ryan Chappell, Chayan Banerjee, Kien Nguyen, Clinton Fookes

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2024

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

IEEE Trans. Neural Networks Learn. Syst., March, 2024

PINNs for Medical Image Analysis: A Survey.

Chayan Banerjee, Kien Nguyen Thanh, Olivier Salvado, Truyen Tran, Clinton Fookes

CoRR, 2024

2023

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Optimal Actor-Critic Policy With Optimized Training Datasets.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani

IEEE Trans. Emerg. Top. Comput. Intell., 2022

2021

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman

CoRR, 2021

Optimal Actor-Critic Policy with Optimized Training Datasets.

Chayan Banerjee, Zhiyong Chen, Nasimul Noman, Mohsen Zamani

CoRR, 2021