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04/28/2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
Differentiable simulation enables gradients to be back-propagated throug...
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12/12/2022
A Neural ODE Interpretation of Transformer Layers
Transformer layers, which use an alternating pattern of multi-head atten...
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07/08/2022
Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
In recent years, an increasing amount of work has focused on differentia...
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10/30/2021
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
Emergency vehicles (EMVs) play a critical role in a city's response to t...
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09/12/2021
EMVLight: A Decentralized Reinforcement Learning Framework for EfficientPassage of Emergency Vehicles
Emergency vehicles (EMVs) play a crucial role in responding to time-crit...
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02/12/2021
A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics
The incorporation of appropriate inductive bias plays a critical role in...
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12/03/2020
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
The last few years have witnessed an increased interest in incorporating...
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08/10/2020
Influence Spread in the Heterogeneous Multiplex Linear Threshold Model
The linear threshold model (LTM) has been used to study spread on single...
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07/03/2020
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control
Recent approaches for modelling dynamics of physical systems with neural...
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02/20/2020
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning
In this work, we introduce Dissipative SymODEN, a deep learning architec...
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09/26/2019