Marios Mattheakis

21 papers B 2Journal 18Unranked 1

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