Thiparat Chotibut

Orcid: 0000-0002-8936-1413

According to our database1, Thiparat Chotibut authored at least 13 papers between 2018 and 2023.

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Bibliography

2023
On fundamental aspects of quantum extreme learning machines.
CoRR, 2023

Quantum Next Generation Reservoir Computing: An Efficient Quantum Algorithm for Forecasting Quantum Dynamics.
CoRR, 2023

Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling.
CoRR, 2023

StrainNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks.
CoRR, 2023

2022
Unpredictable dynamics in congestion games: memory loss can prevent chaos.
CoRR, 2022

2021
Explainable Natural Language Processing with Matrix Product States.
CoRR, 2021

Quantum diffusion map for nonlinear dimensionality reduction.
CoRR, 2021

Follow-the-Regularized-Leader Routes to Chaos in Routing Games.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
The route to chaos in routing games: When is price of anarchy too optimistic?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Biologically Plausible Sequence Learning with Spiking Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models.
CoRR, 2019

The route to chaos in routing games: Population increase drives period-doubling instability, chaos & inefficiency with Price of Anarchy equal to one.
CoRR, 2019

2018
Expectation propagation: a probabilistic view of Deep Feed Forward Networks.
CoRR, 2018


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