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Ricardo Silva 0001

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affiliation: University College London, The Alan Turing Institute, UK

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2020 – today

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2022
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  - journals/toit/PaganiWSG22
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Alessio Pagani, Zhuangkun Wei, Ricardo Silva, Weisi Guo:
Neural Network Approximation of Graph Fourier Transform for Sparse Sampling of Networked Dynamics. ACM Trans. Internet Techn. 22(1): 21:1-21:18 (2022)
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Jacobo Roa-Vicens, Yao Lei Xu, Ricardo Silva, Danilo P. Mandic:
Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books. ICAIF 2022: 207-213
2020
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  - journals/corr/abs-2002-05508
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Alessio Pagani, Zhuangkun Wei, Ricardo Silva, Weisi Guo:
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics. CoRR abs/2002.05508 (2020)

2010 – 2019

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2019
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Jacobo Roa-Vicens, Cyrine Chtourou, Angelos Filos, Francisco Rullan, Yarin Gal, Ricardo Silva:
Towards Inverse Reinforcement Learning for Limit Order Book Dynamics. CoRR abs/1906.04813 (2019)
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Nicolò Colombo, Ricardo Silva, Soong Moon Kang, Arthur Gretton:
Counterfactual Distribution Regression for Structured Inference. CoRR abs/1908.07193 (2019)
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  - journals/corr/abs-1912-04242
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Jacobo Roa-Vicens, Yuanbo Wang, Virgile Mison, Yarin Gal, Ricardo Silva:
Adversarial recovery of agent rewards from latent spaces of the limit order book. CoRR abs/1912.04242 (2019)
2018
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  - journals/bigdata/WhitakerSE18
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Gavin A. Whitaker, Ricardo Silva, Daniel Edwards:
Visualizing a Team's Goal Chances in Soccer from Attacking Events: A Bayesian Inference Approach. Big Data 6(4): 271-290 (2018)
2017
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Rafael Augusto Ferreira do Carmo, Soong Moon Kang, Ricardo Silva:
Visualization of Topic-Sentiment Dynamics in Crowdfunding Projects. IDA 2017: 40-51
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Nicolò Colombo, Ricardo Silva, Soong Moon Kang:
Tomography of the London Underground: a Scalable Model for Origin-Destination Data. NIPS 2017: 3062-3073
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Ricardo Silva:
Causality. Encyclopedia of Machine Learning and Data Mining 2017: 194-202

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