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Martin Magris
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Journal Articles
- 2023
- [j2]Martin Magris, Alexandros Iosifidis:
Bayesian learning for neural networks: an algorithmic survey. Artif. Intell. Rev. 56(10): 11773-11823 (2023) - [j1]Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen, Alexandros Iosifidis:
Predicting the state of synchronization of financial time series using cross recurrence plots. Neural Comput. Appl. 35(25): 18519-18531 (2023)
Conference and Workshop Papers
- 2023
- [c5]Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen:
Uncertainty Estimation in Deep Bayesian Survival Models. BHI 2023: 1-4 - [c4]Martin Magris, Alexandros Iosifidis:
Variational Inference for GARCH-family Models. ICAIF 2023: 541-548 - 2022
- [c3]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO 2022: 1487-1491 - 2017
- [c2]Martin Magris, Jiyeong Kim, Esa Räsänen, Juho Kanniainen:
Long-range auto-correlations in limit order book markets: Inter-and cross-event analysis. SSCI 2017: 1-7 - [c1]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor representation in high-frequency financial data for price change prediction. SSCI 2017: 1-7
Informal and Other Publications
- 2024
- [i8]Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen:
Probabilistic Survival Analysis by Approximate Bayesian Inference of Neural Networks. CoRR abs/2404.06421 (2024) - 2023
- [i7]Martin Magris, Alexandros Iosifidis:
Variational Inference for GARCH-family Models. CoRR abs/2310.03435 (2023) - 2022
- [i6]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR abs/2201.05459 (2022) - [i5]Martin Magris, Mostafa Shabani, Alexandros Iosifidis:
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. CoRR abs/2205.11568 (2022) - [i4]Martin Magris, Mostafa Shabani, Alexandros Iosifidis:
Exact Manifold Gaussian Variational Bayes. CoRR abs/2210.14598 (2022) - [i3]Martin Magris, Alexandros Iosifidis:
Bayesian Learning for Neural Networks: an algorithmic survey. CoRR abs/2211.11865 (2022) - 2017
- [i2]Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. CoRR abs/1705.03233 (2017) - [i1]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR abs/1709.01268 (2017)
Coauthor Index
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