Chakraborty, Amit

12 publications

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

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

CVPR 2008 An Efficient Algorithm for Compressed MR Imaging Using Total Variation and Wavelets Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty

ICCV 1995 On Multi-Feature Integration for Deformable Boundary Finding Amit Chakraborty, Marcel Worring, James S. Duncan

CVPR 1994 Deformable Boundary Finding Influenced by Region Homogeneity Amit Chakraborty, Lawrence H. Staib, James S. Duncan