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2020 – today
- 2023
[j4]Marios Mattheakis
, Hayden Joy, Pavlos Protopapas:
Reservoir Computing for Solving Ordinary Differential Equations. Int. J. Artif. Intell. Tools 32(1): 2350030:1-2350030:17 (2023)- 2022
- [c3]Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas:
Encoding Involutory Invariances in Neural Networks. IJCNN 2022: 1-8 - [c2]Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. IJCNN 2022: 1-8 - [i14]Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Physics-Informed Neural Networks for Quantum Eigenvalue Problems. CoRR abs/2203.00451 (2022) - [i13]Hayden Joy, Marios Mattheakis, Pavlos Protopapas:
RcTorch: a PyTorch Reservoir Computing Package with Automated Hyper-Parameter Optimization. CoRR abs/2207.05870 (2022) - [i12]Raphaël Pellegrin, Blake Bullwinkel, Marios Mattheakis, Pavlos Protopapas:
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows. CoRR abs/2211.00214 (2022) - [i11]Marios Mattheakis, Gabriel R. Schleder, Daniel T. Larson, Efthimios Kaxiras:
First principles physics-informed neural network for quantum wavefunctions and eigenvalue surfaces. CoRR abs/2211.04607 (2022) - 2021
- [i10]Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas:
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function. CoRR abs/2101.06100 (2021) - [i9]Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas:
Encoding Involutory Invariance in Neural Networks. CoRR abs/2106.12891 (2021) - [i8]Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen J. Roberts:
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems. CoRR abs/2107.08024 (2021) - [i7]Marios Mattheakis, Hayden Joy, Pavlos Protopapas:
Unsupervised Reservoir Computing for Solving Ordinary Differential Equations. CoRR abs/2108.11417 (2021) - [i6]Mattia Angeli, Georgios Neofotistos, Marios Mattheakis, Efthimios Kaxiras:
Modeling the effect of the vaccination campaign on the Covid-19 pandemic. CoRR abs/2108.13908 (2021) - [i5]Shaan Desai, Marios Mattheakis, Hayden Joy, Pavlos Protopapas, Stephen J. Roberts:
One-Shot Transfer Learning of Physics-Informed Neural Networks. CoRR abs/2110.11286 (2021) - 2020
- [j3]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): 3457-3462 (2020) - [j2]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): 1931 (2020) - [i4]Marios Mattheakis, David Sondak, Akshunna S. Dogra, Pavlos Protopapas:
Hamiltonian Neural Networks for solving differential equations. CoRR abs/2001.11107 (2020) - [i3]Alessandro Paticchio, Tommaso Scarlatti, Marios Mattheakis, Pavlos Protopapas, Marco Brambilla:
Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread. CoRR abs/2010.05074 (2020) - [i2]Henry Jin, Marios Mattheakis, Pavlos Protopapas:
Unsupervised Neural Networks for Quantum Eigenvalue Problems. CoRR abs/2010.05075 (2020)
2010 – 2019
- 2019
- [j1]Najm Hassan, Marios Mattheakis, Ming Ding:
Sensorless Node Architecture for Events detection in Self-Powered Nanosensor Networks. Nano Commun. Networks 19: 1-9 (2019) - [c1]Marios Mattheakis, Matthias Maier, Wei Xi Boo, Efthimios Kaxiras:
Graphene epsilon-near-zero plasmonic crystals. NANOCOM 2019: 2:1-2:6 - [i1]Marios Mattheakis, Pavlos Protopapas, David Sondak, Marco Di Giovanni, Efthimios Kaxiras:
Physical Symmetries Embedded in Neural Networks. CoRR abs/1904.08991 (2019)
Coauthor Index
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