135 citations · 473 across the 31 of their papers we have counts for
5 papers · 1 filter
A Neural ODE Interpretation of Transformer Layers
Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty +1
Transformer layers, which use an alternating pattern of multi-head attention and multi-layer perceptron (MLP) layers, provide an effective tool for a variety of machine learning pr…
Flocks, Games, and Cognition: A Geometric Approach
Udit Halder, Vidya Raju, Matteo Mischiati +2
Avian flocks display a wide variety of flight behaviors, including steady directed translation of center of mass, rapid change of overall morphology, re-shuffling of positions of i…
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System
Haoran Su, Yaofeng D. Zhong, Joseph Y. J. Chow +2
Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch…
Demystifying the Data Need of ML-surrogates for CFD Simulations
Tongtao Zhang, Biswadip Dey, Krishna Veeraraghavan +2
Computational fluid dynamics (CFD) simulations, a critical tool in various engineering applications, often require significant time and compute power to predict flow properties. Th…
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora, Pratik Kakkar, Biswadip Dey +1
This work presents a physics-informed neural network (PINN) based framework to model the strain-rate and temperature dependence of the deformation fields in elastic-viscoplastic so…