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Alexandros Kalousis

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Magda Gregorova

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Publications

2023
[i38]
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  - journals/corr/abs-2306-07735
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Yoann Boget, Magda Gregorova, Alexandros Kalousis:
Vector-Quantized Graph Auto-Encoder. CoRR abs/2306.07735 (2023)
2022
[c56]
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  - conf/acml/BogetGK22
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Yoann Boget, Magda Gregorova, Alexandros Kalousis:
Graph annotation generative adversarial networks. ACML 2022: 16
[i34]
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  - journals/corr/abs-2212-00449
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Yoann Boget, Magda Gregorova, Alexandros Kalousis:
GrannGAN: Graph annotation generative adversarial networks. CoRR abs/2212.00449 (2022)
2021
[i30]
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  - journals/corr/abs-2104-03305
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Magda Gregorová, Marc Desaules, Alexandros Kalousis:
Learned transform compression with optimized entropy encoding. CoRR abs/2104.03305 (2021)
[i27]
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  - journals/corr/abs-2112-03621
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Yoann Boget, Magda Gregorova, Alexandros Kalousis:
Permutation Equivariant Generative Adversarial Networks for Graphs. CoRR abs/2112.03621 (2021)
2020
[j12]
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  - journals/entropy/LavdaGK20
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Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis:
Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data. Entropy 22(8): 888 (2020)
[j11]
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  - journals/ijon/RamapuramGK20
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Jason Ramapuram, Magda Gregorova, Alexandros Kalousis:
Lifelong generative modeling. Neurocomputing 404: 381-400 (2020)
[c49]
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  - conf/ecai/LavdaGK20
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Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis:
Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. ECAI 2020: 1254-1261
2019
[i19]
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  - journals/corr/abs-1911-10885
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Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis:
Improving VAE generations of multimodal data through data-dependent conditional priors. CoRR abs/1911.10885 (2019)
2018
[c40]
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  - conf/pkdd/GregorovaRKM18
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Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet:
Large-Scale Nonlinear Variable Selection via Kernel Random Features. ECML/PKDD (2) 2018: 177-192
[c39]
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  - conf/uai/GregorovaKM18
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Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet:
Structured nonlinear variable selection. UAI 2018: 23-32
[i18]
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  - journals/corr/abs-1804-07169
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Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet:
Large-scale Nonlinear Variable Selection via Kernel Random Features. CoRR abs/1804.07169 (2018)
[i17]
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  - journals/corr/abs-1805-06258
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Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet:
Structured nonlinear variable selection. CoRR abs/1805.06258 (2018)
[i15]
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  - journals/corr/abs-1810-10612
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Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis:
Continual Classification Learning Using Generative Models. CoRR abs/1810.10612 (2018)
2017
[c38]
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  - conf/acml/GregorovaKM17
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Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet:
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. ACML 2017: 161-176
[c35]
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Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet:
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. ECML/PKDD (2) 2017: 544-558
[i12]
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  - journals/corr/RamapuramGK17
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Jason Ramapuram, Magda Gregorova, Alexandros Kalousis:
Lifelong Generative Modeling. CoRR abs/1705.09847 (2017)
[i11]
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Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet:
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. CoRR abs/1706.08811 (2017)
2015
[i10]
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  - journals/corr/GregorovaKMW15
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Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang:
Learning vector autoregressive models with focalised Granger-causality graphs. CoRR abs/1507.01978 (2015)

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