Marios Mattheakis

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Reservoir Computing

Top Venues

J. Chem. Inf. Model.

Nano Commun. Networks

Publications

Marios Mattheakis, Hayden Joy, Pavlos Protopapas
Reservoir Computing for Solving Ordinary Differential Equations. Int. J. Artif. Intell. Tools 32 (1) (2023)
Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas
Encoding Involutory Invariances in Neural Networks. IJCNN (2022)
Henry Jin, Marios Mattheakis, Pavlos Protopapas
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. IJCNN (2022)
Hayden Joy, Marios Mattheakis, Pavlos Protopapas
RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization. CoRR (2022)
Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows. CoRR (2022)
Henry Jin, Marios Mattheakis, Pavlos Protopapas
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. CoRR (2022)
Marios Mattheakis, Gabriel R. Schleder, Daniel T. Larson, Efthimios Kaxiras
First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces. CoRR (2022)
Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen J. Roberts
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems. CoRR (2021)
Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. CoRR (2021)
Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas
Encoding Involutory Invariance in Neural Networks. CoRR (2021)
Marios Mattheakis, Hayden Joy, Pavlos Protopapas
Unsupervised Reservoir Computing for Solving Ordinary Differential Equations. CoRR (2021)
Mattia Angeli, Georgios Neofotistos, Marios Mattheakis, Efthimios Kaxiras
Modeling the effect of the vaccination campaign on the Covid-19 pandemic. CoRR (2021)
Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen J. Roberts
One-Shot Transfer Learning of Physics-Informed Neural Networks. CoRR (2021)
Henry Jin, Marios Mattheakis, Pavlos Protopapas
Unsupervised Neural Networks for Quantum Eigenvalue Problems. CoRR (2020)
Alessandro Paticchio, Tommaso Scarlatti, Marios Mattheakis, Pavlos Protopapas, Marco Brambilla
Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread. CoRR (2020)
Georgios A. Tritsaris, Yiqi Xie, Alexander M. Rush, Stephen Carr, Marios Mattheakis, Efthimios Kaxiras
LAN: A Materials Notation for Two-Dimensional Layered Assemblies. J. Chem. Inf. Model. 60 (7) (2020)
Feiyu Chen, David Sondak, Pavlos Protopapas, Marios Mattheakis, Shuheng Liu, Devansh Agarwal, Marco Di Giovanni
NeuroDiffEq: A Python package for solving differential equations with neural networks. J. Open Source Softw. 5 (46) (2020)
Marios Mattheakis, David Sondak, Akshunna S. Dogra, Pavlos Protopapas
Hamiltonian Neural Networks for solving differential equations. CoRR (2020)
Najm Hassan, Marios Mattheakis, Ming Ding
Sensorless Node Architecture for Events detection in Self-Powered Nanosensor Networks. Nano Commun. Networks 19 (2019)
Marios Mattheakis, Matthias Maier, Wei Xi Boo, Efthimios Kaxiras
Graphene epsilon-near-zero plasmonic crystals. NANOCOM (2019)
Marios Mattheakis, Pavlos Protopapas, David Sondak, Marco Di Giovanni, Efthimios Kaxiras
Physical Symmetries Embedded in Neural Networks. CoRR (2019)