Dey, Biswadip

11 publications

NeurIPSW 2024 Using Parametric PINNs for Predicting Internal and External Turbulent Flows Shinjan Ghosh, Amit Chakraborty, Georgia Olympia Brikis, Biswadip Dey

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

ICMLW 2023 RANS-PINN Based Simulation Surrogates for Predicting Turbulent Flows Shinjan Ghosh, Amit Chakraborty, Georgia Olympia Brikis, Biswadip Dey

NeurIPSW 2022 A Neural ODE Interpretation of Transformer Layers Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty, Biswadip Dey

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

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

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

NeurIPSW 2021 On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-Dimension Udari Madhushani, Biswadip Dey, Naomi Leonard, Amit Chakraborty

ICLRW 2020 Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty

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

NeurIPS 2017 A Graph-Theoretic Approach to Multitasking Noga Alon, Daniel Reichman, Igor Shinkar, Tal Wagner, Sebastian Musslick, Jonathan D. Cohen, Tom Griffiths, Biswadip Dey, Kayhan Ozcimder