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Miguel Aguiar

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2020 – today

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2024
[c5]
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Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Learning flow functions of spiking systems. L4DC 2024: 591-602
2023
[c4]
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  - conf/ccta/FonsecaRAJ23
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Joana Fonseca, Alexandre Rocha, Miguel Aguiar, Karl Henrik Johansson:
Adaptive Sampling of Algal Blooms Using an Autonomous Underwater Vehicle and Satellite Imagery. CCTA 2023: 638-644
[c3]
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Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Universal Approximation of Flows of Control Systems by Recurrent Neural Networks. CDC 2023: 2320-2327
[i3]
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  - journals/corr/abs-2303-16656
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Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Learning Flow Functions from Data with Applications to Nonlinear Oscillators. CoRR abs/2303.16656 (2023)
[i2]
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  - journals/corr/abs-2304-00352
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Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Universal approximation of flows of control systems by recurrent neural networks. CoRR abs/2304.00352 (2023)
[i1]
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  - journals/corr/abs-2312-11913
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Miguel Aguiar, Amritam Das, Karl Henrik Johansson:
Learning flow functions of spiking systems. CoRR abs/2312.11913 (2023)
2021
[c2]
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  - conf/cdc/BarreauALJ21
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Matthieu Barreau, Miguel Aguiar, John Liu, Karl Henrik Johansson:
Physics-informed Learning for Identification and State Reconstruction of Traffic Density. CDC 2021: 2653-2658
2020
[c1]
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  - conf/cdc/AguiarSS20
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Miguel Aguiar, Jorge Estrela da Silva, João Borges de Sousa:
Minimal time delivery of multiple robots. CDC 2020: 1572-1577

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