Stabilizing a Flexible Beam on a Cart: A Distributed Port-Hamiltonian Approach. - Ravi N. Banavar; Biswadip Dey (J. Nonlinear Sci., 2010)

Trajectory smoothing as a linear optimal control problem. - Biswadip Dey; P. S. Krishnaprasad (Allerton Conference, 2012)

Control-theoretic data smoothing. - Biswadip Dey; P. S. Krishnaprasad (CDC, 2014)

Station keeping through beacon-referenced cyclic pursuit. - Kevin S. Galloway; Biswadip Dey (ACC, 2015)

Biomimetic algorithms for coordinated motion: Theory and implementation. - Udit Halder; Biswadip Dey (ICRA, 2015)

Synchronization bound for networks of nonlinear oscillators. - Elizabeth N. Davison; Biswadip Dey; Naomi Ehrich Leonard (Allerton, 2016)

Stability and pure shape equilibria for beacon-referenced cyclic pursuit. - Kevin S. Galloway; Biswadip Dey (ACC, 2016)

Investigating group behavior in dance: an evolutionary dynamics approach. - Kayhan Özcimder; Biswadip Dey; Rebecca J. Lazier; Daniel Trueman; Naomi Ehrich Leonard (ACC, 2016)

Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures. - Sebastian Musslick; Biswadip Dey; Kayhan Özcimder; Md. Mostofa Ali Patwary; Theodore L. Willke; Jonathan D. Cohen 003 (CogSci, 2016)

A Graph-Theoretic Approach to Multitasking. - Jonathan D. Cohen 003; Biswadip Dey; Tom Griffiths 001; Sebastian Musslick; Kayhan Özcimder; Daniel Reichman 001; Igor Shinkar; Tal Wagner (CoRR, 2016)

Constant bearing pursuit on branching graphs. - Kevin S. Galloway; Biswadip Dey (CDC, 2017)

Multitasking Capability Versus Learning Efficiency in Neural Network Architectures. - Sebastian Musslick; Andrew Saxe; Kayhan Özcimder; Biswadip Dey; Greg Henselman; Jonathan D. Cohen 003 (CogSci, 2017)

A Formal Approach to Modeling the Cost of Cognitive Control. - Kayhan Özcimder; Biswadip Dey; Sebastian Musslick; Giovanni Petri; Nesreen K. Ahmed; Theodore L. Willke; Jonathan D. Cohen 003 (CogSci, 2017)

A graph-theoretic approach to multitasking. - Noga Alon; Daniel Reichman 001; Igor Shinkar; Tal Wagner; Sebastian Musslick; Jonathan D. Cohen 003; Tom Griffiths 001; Biswadip Dey; Kayhan Özcimder (NIPS, 2017)

Feedback Controlled Bifurcation of Evolutionary Dynamics with Generalized Fitness. - Biswadip Dey; Alessio Franci; Kayhan Özcimder; Naomi Ehrich Leonard (ACC, 2018)

Beacon-referenced Mutual Pursuit in Three Dimensions. - Kevin S. Galloway; Biswadip Dey (ACC, 2018)

Collective motion under beacon-referenced cyclic pursuit. - Kevin S. Galloway; Biswadip Dey (Autom., 2018)

Social decision-making driven by artistic explore-exploit tension. - Kayhan Özcimder; Biswadip Dey; Alessio Franci; Rebecca J. Lazier; Daniel Trueman; Naomi Ehrich Leonard (CoRR, 2018)

Bistability and Resurgent Epidemics in Reinfection Models. - Renato Pagliara; Biswadip Dey; Naomi Ehrich Leonard (IEEE Control. Syst. Lett., 2018)

BeeNestABM: An open-source agent-based model of spatiotemporal distribution of bumblebees in nests. - Ashlee N. Ford Versypt; James D. Crall; Biswadip Dey (J. Open Source Softw., 2018)

A Conditional Generative Model for Predicting Material Microstructures from Processing Methods. - Akshay Iyer; Biswadip Dey; Arindam Dasgupta; Wei Chen 041; Amit Chakraborty (CoRR, 2019)

Beacon-referenced Pursuit for Collective Motions in Three Dimensions. - Kevin S. Galloway; Biswadip Dey (CoRR, 2019)

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (ICLR, 2020)

Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (CoRR, 2020)

Frequency-compensated PINNs for Fluid-dynamic Design Problems. - Tongtao Zhang; Biswadip Dey; Pratik Kakkar; Arindam Dasgupta; Amit Chakraborty (CoRR, 2020)

Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL. - Udari Madhushani; Biswadip Dey; Naomi Ehrich Leonard; Amit Chakraborty (CoRR, 2020)

Cluster Synchronization of Diffusively Coupled Nonlinear Systems: A Contraction-Based Approach. - Zahra Aminzare; Biswadip Dey; Elizabeth N. Davison; Naomi Ehrich Leonard (J. Nonlinear Sci., 2020)

Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (L4DC, 2021)

Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (NeurIPS, 2021)

A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics. - Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (CoRR, 2021)

A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Haoran Su; Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (CoRR, 2021)

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. - Haoran Su; Yaofeng Desmond Zhong; Biswadip Dey; Amit Chakraborty (AAAI, 2022)

On Using Hamiltonian Monte Carlo Sampling for RL. - Udari Madhushani; Biswadip Dey; Naomi Ehrich Leonard; Amit Chakraborty (CDC, 2022)

Accelerated Algorithms for a Class of Optimization Problems with Constraints. - Anjali Parashar; Priyank Srivastava; Anuradha M. Annaswamy; Biswadip Dey; Amit Chakraborty (CDC, 2022)

Physics-informed neural networks for modeling rate- and temperature-dependent plasticity. - Rajat Arora; Pratik Kakkar; Biswadip Dey; Amit Chakraborty (CoRR, 2022)

Demystifying the Data Need of ML-surrogates for CFD Simulations. - Tongtao Zhang; Biswadip Dey; Krishna Veeraraghavan; Harshad Kulkarni; Amit Chakraborty (CoRR, 2022)

EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System. - Haoran Su; Yaofeng Desmond Zhong; Joseph Y. J. Chow; Biswadip Dey; Li Jin (CoRR, 2022)

A Neural ODE Interpretation of Transformer Layers. - Yaofeng Desmond Zhong; Tongtao Zhang; Amit Chakraborty; Biswadip Dey (CoRR, 2022)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. - Truong X. Nghiem; Ján Drgona; Colin N. Jones; Zoltán Nagy 002; Roland Schwan; Biswadip Dey; Ankush Chakrabarty; Stefano Di Cairano; Joel A. Paulson; Andrea Carron; Melanie N. Zeilinger; Wenceslao Shaw-Cortez; et al. (ACC, 2023)

Improving Gradient Computation for Differentiable Physics Simulation with Contacts. - Yaofeng Desmond Zhong; Jiequn Han; Biswadip Dey; Georgia Olympia Brikis (L4DC, 2023)

RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows. - Shinjan Ghosh; Amit Chakraborty; Georgia Olympia Brikis; Biswadip Dey (CoRR, 2023)

Flocks, games, and cognition: A geometric approach. - Udit Halder; Vidya Raju; Matteo Mischiati; Biswadip Dey; P. S. Krishnaprasad (Syst. Control. Lett., 2023)

Using Parametric PINNs for Predicting Internal and External Turbulent Flows. - Shinjan Ghosh; Amit Chakraborty; Georgia Olympia Brikis; Biswadip Dey (CoRR, 2024)

Geometry-aware PINNs for Turbulent Flow Prediction. - Shinjan Ghosh; Julian Busch; Georgia Olympia Brikis; Biswadip Dey (CoRR, 2024)

SiPhyR: An End-to-End Learning-Based Optimization Framework for Dynamic Grid Reconfiguration. - Rabab Haider; Anuradha Annaswamy; Biswadip Dey; Amit Chakraborty (IEEE Trans. Smart Grid, 2025)

ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation. - Daniel Rho; Jun Myeong Choi; Biswadip Dey; Roni Sengupta (CoRR, 2025)