Marios Mattheakis

According to our database, Marios Mattheakis authored at least 20 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Reservoir Computing for Solving Ordinary Differential Equations.

Marios Mattheakis, Hayden Joy, Pavlos Protopapas

Int. J. Artif. Intell. Tools, February, 2023

2022

First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces.

Marios Mattheakis, Gabriel R. Schleder, Daniel T. Larson, Efthimios Kaxiras

CoRR, 2022

Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows.

Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas

CoRR, 2022

RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization.

Hayden Joy, Marios Mattheakis, Pavlos Protopapas

CoRR, 2022

Physics-Informed Neural Networks for Quantum Eigenvalue Problems.

Henry Jin, Marios Mattheakis, Pavlos Protopapas

Proceedings of the International Joint Conference on Neural Networks, 2022

Encoding Involutory Invariances in Neural Networks.

Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

One-Shot Transfer Learning of Physics-Informed Neural Networks.

Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen J. Roberts

CoRR, 2021

Modeling the effect of the vaccination campaign on the Covid-19 pandemic.

Mattia Angeli, Georgios Neofotistos, Marios Mattheakis, Efthimios Kaxiras

CoRR, 2021

Unsupervised Reservoir Computing for Solving Ordinary Differential Equations.

Marios Mattheakis, Hayden Joy, Pavlos Protopapas

CoRR, 2021

Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems.

Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen J. Roberts

CoRR, 2021

Encoding Involutory Invariance in Neural Networks.

Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas

CoRR, 2021

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function.

Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas

CoRR, 2021

2020

NeuroDiffEq: A Python package for solving differential equations with neural networks.

Feiyu Chen, David Sondak, Pavlos Protopapas, Marios Mattheakis, Shuheng Liu, Devansh Agarwal, Marco Di Giovanni

J. Open Source Softw., 2020

LAN: A Materials Notation for Two-Dimensional Layered Assemblies.

Georgios A. Tritsaris, Yiqi Xie, Alexander M. Rush, Stephen Carr, Marios Mattheakis, Efthimios Kaxiras

J. Chem. Inf. Model., 2020

Unsupervised Neural Networks for Quantum Eigenvalue Problems.

Henry Jin, Marios Mattheakis, Pavlos Protopapas

CoRR, 2020

Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread.

Alessandro Paticchio, Tommaso Scarlatti, Marios Mattheakis, Pavlos Protopapas, Marco Brambilla

CoRR, 2020

Hamiltonian Neural Networks for solving differential equations.

Marios Mattheakis, David Sondak, Akshunna S. Dogra, Pavlos Protopapas

CoRR, 2020

2019

Sensorless Node Architecture for Events detection in Self-Powered Nanosensor Networks.

Najm Hassan, Marios Mattheakis, Ming Ding

Nano Commun. Networks, 2019

Physical Symmetries Embedded in Neural Networks.

Marios Mattheakis, Pavlos Protopapas, David Sondak, Marco Di Giovanni, Efthimios Kaxiras

CoRR, 2019

Graphene epsilon-near-zero plasmonic crystals.

Marios Mattheakis, Matthias Maier, Wei Xi Boo, Efthimios Kaxiras

Proceedings of the Sixth Annual ACM International Conference on Nanoscale Computing and Communication, 2019