Alexandros Kalousis

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 67

Top Venues

Publications

Yoann Boget, Magda Gregorova, Alexandros Kalousis
Discrete Graph Auto-Encoder. Trans. Mach. Learn. Res. 2024 (2024)
Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis
Discrete Latent Graph Generative Modeling with Diffusion Bridges. CoRR (2024)
Maciej Falkiewicz, Naoya Takeishi, Alexandros Kalousis
Kolmogorov-Smirnov GAN. CoRR (2024)
João A. Cândido Ramos, Lionel Blondé, Naoya Takeishi, Alexandros Kalousis
Sample-Efficient On-Policy Imitation Learning from Observations. CoRR (2023)
Frantzeska Lavda, Alexandros Kalousis
Semi-Supervised Variational Autoencoders for Out-of-Distribution Generation. Entropy 25 (12) (2023)
Naoya Takeishi, Alexandros Kalousis
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models. AISTATS (2023)
Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. NeurIPS (2023)
Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. CoRR (2023)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Vector-Quantized Graph Auto-Encoder. CoRR (2023)
Naoya Takeishi, Alexandros Kalousis
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models. CoRR (2022)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Graph annotation generative adversarial networks. ACML (2022)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
GrannGAN: Graph annotation generative adversarial networks. CoRR (2022)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization. Sensors 22 (3) (2022)
Lionel Blondé, Pablo Strasser, Alexandros Kalousis
Lipschitzness is all you need to tame off-policy generative adversarial imitation learning. Mach. Learn. 111 (4) (2022)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
Towards Reproducible Indoor Positioning Research. IPIN-WiP (2021)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
ProxyFAUG: Proximity-based Fingerprint Augmentation. IPIN (2021)
Lionel Blondé, Alexandros Kalousis
Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning. CoRR (2021)
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. ICLR (2021)
Yoann Boget, Magda Gregorova, Alexandros Kalousis
Permutation Equivariant Generative Adversarial Networks for Graphs. CoRR (2021)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
ProxyFAUG: Proximity-based Fingerprint Augmentation. CoRR (2021)
Naoya Takeishi, Alexandros Kalousis
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling. NeurIPS (2021)
Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis
Conditional Neural Relational Inference for Interacting Systems. ECML/PKDD (5) (2021)
Magda Gregorová, Marc Desaules, Alexandros Kalousis
Learned transform compression with optimized entropy encoding. CoRR (2021)
Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis
Conditional Neural Relational Inference for Interacting Systems. CoRR (2021)
Naoya Takeishi, Alexandros Kalousis
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling. CoRR (2021)
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory. CoRR (2021)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy. ICC (2021)
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. ECAI (2020)
Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. ESWC (2020)
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data. Entropy 22 (8) (2020)
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
Goal-directed Generation of Discrete Structures with Conditional Generative Models. NeurIPS (2020)
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Lifelong generative modeling. Neurocomputing 404 (2020)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy. CoRR (2020)
Lionel Blondé, Pablo Strasser, Alexandros Kalousis
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning. CoRR (2020)
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
Goal-directed Generation of Discrete Structures with Conditional Generative Models. CoRR (2020)
Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis
Variational Saccading: Efficient Inference for Large Resolution Images. BMVC (2019)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN. WPNC (2019)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning. CoRR (2019)
Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
Improving VAE generations of multimodal data through data-dependent conditional priors. CoRR (2019)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN. CoRR (2019)
Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis
Learning to Augment with Feature Side-information. ACML (2019)
Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. CoRR (2019)
Lionel Blondé, Alexandros Kalousis
Sample-Efficient Imitation Learning via Generative Adversarial Nets. AISTATS (2019)
Grigorios G. Anagnostopoulos, Alexandros Kalousis
A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning. IPIN (2019)
Pablo Strasser, Stéphane Armand, Stéphane Marchand-Maillet, Alexandros Kalousis
Learning by stochastic serializations. CoRR (2019)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet
Structured nonlinear variable selection. UAI (2018)
Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis
Variational Saccading: Efficient Inference for Large Resolution Images. CoRR (2018)
Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Continual Classification Learning Using Generative Models. CoRR (2018)
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
Large-Scale Nonlinear Variable Selection via Kernel Random Features. ECML/PKDD (2) (2018)
Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
Large-scale Nonlinear Variable Selection via Kernel Random Features. CoRR (2018)
Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors. NAACL-HLT (2018)
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Structured nonlinear variable selection. CoRR (2018)
Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith, Dimitris Kiritsis
Biomedical ontology alignment: an approach based on representation learning. J. Biomed. Semant. 9 (1) (2018)
Lionel Blondé, Alexandros Kalousis
Sample-Efficient Imitation Learning via Generative Adversarial Nets. CoRR (2018)
Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Regularising Non-linear Models Using Feature Side-information. ICML (2017)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. CoRR (2017)
Afef Ben Brahim, Alexandros Kalousis
Semi Supervised Relevance Learning for Feature Selection on High Dimensional Data. AICCSA (2017)
Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
Lifelong Generative Modeling. CoRR (2017)
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. ECML/PKDD (2) (2017)
Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Regularising Non-linear Models Using Feature Side-information. CoRR (2017)
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. ACML (2017)
Phong Nguyen, Jun Wang, Alexandros Kalousis
Factorizing LambdaMART for cold start recommendations. Mach. Learn. 104 (2-3) (2016)
C. Maria Keet, Agnieszka Lawrynowicz, Claudia d'Amato, Alexandros Kalousis, Phong Nguyen, Raúl Palma, Robert Stevens, Melanie Hilario
The Data Mining OPtimization Ontology. J. Web Semant. 32 (2015)
Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet
Information Geometry and Minimum Description Length Networks. ICML (2015)
Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang
Learning vector autoregressive models with focalised Granger-causality graphs. CoRR (2015)
Phong Nguyen, Jun Wang, Alexandros Kalousis
Factorizing LambdaMART for cold start recommendations. CoRR (2015)
Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet
Space-Time Local Embeddings. NIPS (2015)
P. Nguyen, Melanie Hilario, Alexandros Kalousis
Using Meta-mining to Support Data Mining Workflow Planning and Optimization. J. Artif. Intell. Res. 51 (2014)
Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis
Two-Stage Metric Learning. ICML (2014)
Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis
Two-Stage Metric Learning. CoRR (2014)
Huyen Do, Alexandros Kalousis
A Metric-learning based framework for Support Vector Machines and Multiple Kernel Learning. CoRR (2013)
Huyen Do, Alexandros Kalousis
Convex formulations of radius-margin based Support Vector Machines. ICML (1) (2013)
Jun Wang, Alexandros Kalousis, Adam Woznica
Parametric Local Metric Learning for Nearest Neighbor Classification. NIPS (2012)
Jun Wang, Alexandros Kalousis
Structuring Relevant Feature Sets with Multiple Model Learning CoRR (2012)
Jun Wang, Adam Woznica, Alexandros Kalousis
Learning Neighborhoods for Metric Learning. CoRR (2012)
Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining CoRR (2012)
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
A metric learning perspective of SVM: on the relation of SVM and LMNN CoRR (2012)
Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis
Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. ICDM (2012)
Jun Wang, Adam Woznica, Alexandros Kalousis
Learning Neighborhoods for Metric Learning. ECML/PKDD (1) (2012)
Jun Wang, Adam Woznica, Alexandros Kalousis
Parametric Local Metric Learning for Nearest Neighbor Classification CoRR (2012)
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
A metric learning perspective of SVM: on the relation of LMNN and SVM. AISTATS (2012)
Nabil Stendardo, Alexandros Kalousis
Relationship-aware sequential pattern mining CoRR (2012)
Adam Woznica, Phong Nguyen, Alexandros Kalousis
Model mining for robust feature selection. KDD (2012)
Jun Wang, Huyen Do, Adam Woznica, Alexandros Kalousis
Metric Learning with Multiple Kernels. NIPS (2011)
Adam Woznica, Alexandros Kalousis, Melanie Hilario
Adaptive Matching Based Kernels for Labelled Graphs. PAKDD (2) (2010)
Adam Woznica, Alexandros Kalousis
A New Framework for Dissimilarity and Similarity Learning. PAKDD (2) (2010)
Mohammed Dakna, Keith Harris, Alexandros Kalousis, Sebastien Carpentier, Walter Kolch, Joost P. Schanstra, Marion Haubitz, Antonia Vlahou, Harald Mischak, Mark A. Girolami
Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers. BMC Bioinform. 11 (2010)
Adam Woznica, Alexandros Kalousis
Adaptive Distances on Sets of Vectors. ICDM (2010)
Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Miltos Kyriakakos, Alexandros Kalousis
Predicting the location of mobile users: a machine learning approach. ICPS (2009)
Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario
Margin and Radius Based Multiple Kernel Learning. ECML/PKDD (1) (2009)
Huyen Do, Alexandros Kalousis, Melanie Hilario
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs. ECML/PKDD (1) (2009)
Melanie Hilario, Alexandros Kalousis
Approaches to dimensionality reduction in proteomic biomarker studies. Briefings Bioinform. 9 (2) (2008)
Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. SDM (2008)
Julien Prados, Alexandros Kalousis, Melanie Hilario
Feature Selection with the logRatio Kernel. SDM (2008)
Alexandros Kalousis, Julien Prados, Melanie Hilario
Stability of feature selection algorithms: a study on high-dimensional spaces. Knowl. Inf. Syst. 12 (1) (2007)
Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Alexandros Kalousis, Miltiadis Kyriakakos
Path Prediction through Data Mining. ICPS (2007)
Adam Woznica, Alexandros Kalousis, Melanie Hilario
Learning to combine distances for complex representations. ICML (2007)
Adam Woznica, Alexandros Kalousis, Melanie Hilario
Distances and (Indefinite) Kernels for Sets of Objects. ICDM (2006)
Julien Prados, Alexandros Kalousis, Melanie Hilario
On Preprocessing of SELDI-MS Data and its Evaluation. CBMS (2006)
Adam Woznica, Alexandros Kalousis, Melanie Hilario
Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints. PAKDD (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexandros Kalousis