Alexandros Kalousis

125 papers A* 16A 9B 7C 6Journal 63Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Unrestrained Simplex Denoising for Discrete Data. A Non-Markovian Approach Applied to Graph Generation. CoRR Yoann Boget, Alexandros Kalousis
2026	J	`jnl`	Variational Grey-Box Dynamics Matching. CoRR Gurjeet Sangra Singh, Frantzeska Lavda, Giangiacomo Mercatali, Alexandros Kalousis
2025	J	`jnl`	Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs. CoRR Yoann Boget, Alexandros Kalousis
2025	A*	`conf`	GLAD: Improving Latent Graph Generative Modeling with Simple Quantization. AAAI Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis
2025	J	`jnl`	Hybrid Generative Modeling for Incomplete Physics: Deep Grey-Box Meets Optimal Transport. CoRR Gurjeet Sangra Singh, Maciej Falkiewicz, Alexandros Kalousis
2025	A	`conf`	MING: A Functional Approach to Learning Molecular Generative Models. AISTATS Van Khoa Nguyen, Maciej Falkiewicz, Giangiacomo Mercatali, Alexandros Kalousis
2025	J	`jnl`	Navigating Sparse Molecular Data with Stein Diffusion Guidance. CoRR Van Khoa Nguyen, Lionel Blondé, Alexandros Kalousis
2025	J	`jnl`	Noise-Guided Transport for Imitation Learning. CoRR Lionel Blondé, Joao A. Candido Ramos, Alexandros Kalousis
2024	J	`jnl`	Discrete Graph Auto-Encoder. Trans. Mach. Learn. Res. Yoann Boget, Magda Gregorova, Alexandros Kalousis
2024	J	`jnl`	Discrete Latent Graph Generative Modeling with Diffusion Bridges. CoRR Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda, Alexandros Kalousis
2024	J	`jnl`	Kolmogorov-Smirnov GAN. CoRR Maciej Falkiewicz, Naoya Takeishi, Alexandros Kalousis
2024	J	`jnl`	MING: A Functional Approach to Learning Molecular Generative Models. CoRR Van Khoa Nguyen, Maciej Falkiewicz, Giangiacomo Mercatali, Alexandros Kalousis
2024	A*	`conf`	Mimicking Better by Matching the Approximate Action Distribution. ICML João A. Cândido Ramos, Lionel Blondé, Naoya Takeishi, Alexandros Kalousis
2023	A*	`conf`	Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. NeurIPS Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
2023	J	`jnl`	Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. CoRR Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
2023	A	`conf`	Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models. AISTATS Naoya Takeishi, Alexandros Kalousis
2023	J	`jnl`	Sample-Efficient On-Policy Imitation Learning from Observations. CoRR João A. Cândido Ramos, Lionel Blondé, Naoya Takeishi, Alexandros Kalousis
2023	J	`jnl`	Semi-Supervised Variational Autoencoders for Out-of-Distribution Generation. Entropy Frantzeska Lavda, Alexandros Kalousis
2023	J	`jnl`	Vector-Quantized Graph Auto-Encoder. CoRR Yoann Boget, Magda Gregorova, Alexandros Kalousis
2022	J	`jnl`	Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization. Sensors Grigorios G. Anagnostopoulos, Alexandros Kalousis
2022	J	`jnl`	Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models. CoRR Naoya Takeishi, Alexandros Kalousis
2022	J	`jnl`	GrannGAN: Graph annotation generative adversarial networks. CoRR Yoann Boget, Magda Gregorova, Alexandros Kalousis
2022	C	`conf`	Graph annotation generative adversarial networks. ACML Yoann Boget, Magda Gregorova, Alexandros Kalousis
2022	J	`jnl`	Lipschitzness is all you need to tame off-policy generative adversarial imitation learning. Mach. Learn. Lionel Blondé, Pablo Strasser, Alexandros Kalousis
2021	—	`conf`	Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy. ICC Grigorios G. Anagnostopoulos, Alexandros Kalousis
2021	—	`conf`	Conditional Neural Relational Inference for Interacting Systems. ECML/PKDD (5) Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis
2021	J	`jnl`	Conditional Neural Relational Inference for Interacting Systems. CoRR Joao A. Candido Ramos, Lionel Blondé, Stéphane Armand, Alexandros Kalousis
2021	A*	`conf`	Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory. ICLR Jason Ramapuram, Yan Wu, Alexandros Kalousis
2021	J	`jnl`	Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory. CoRR Jason Ramapuram, Yan Wu, Alexandros Kalousis
2021	J	`jnl`	Learned transform compression with optimized entropy encoding. CoRR Magda Gregorová, Marc Desaules, Alexandros Kalousis
2021	J	`jnl`	Permutation Equivariant Generative Adversarial Networks for Graphs. CoRR Yoann Boget, Magda Gregorova, Alexandros Kalousis
2021	A*	`conf`	Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling. NeurIPS Naoya Takeishi, Alexandros Kalousis
2021	J	`jnl`	Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling. CoRR Naoya Takeishi, Alexandros Kalousis
2021	C	`conf`	ProxyFAUG: Proximity-based Fingerprint Augmentation. IPIN Grigorios G. Anagnostopoulos, Alexandros Kalousis
2021	J	`jnl`	ProxyFAUG: Proximity-based Fingerprint Augmentation. CoRR Grigorios G. Anagnostopoulos, Alexandros Kalousis
2021	—	`conf`	Towards Reproducible Indoor Positioning Research. IPIN-WiP Grigorios G. Anagnostopoulos, Alexandros Kalousis
2021	J	`jnl`	Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning. CoRR Lionel Blondé, Alexandros Kalousis
2020	J	`jnl`	Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy. CoRR Grigorios G. Anagnostopoulos, Alexandros Kalousis
2020	J	`jnl`	Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data. Entropy Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2020	A*	`conf`	Goal-directed Generation of Discrete Structures with Conditional Generative Models. NeurIPS Amina Mollaysa, Brooks Paige, Alexandros Kalousis
2020	J	`jnl`	Goal-directed Generation of Discrete Structures with Conditional Generative Models. CoRR Amina Mollaysa, Brooks Paige, Alexandros Kalousis
2020	B	`conf`	Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. ESWC Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
2020	A	`conf`	Improving VAE Generations of Multimodal Data Through Data-Dependent Conditional Priors. ECAI Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2020	J	`jnl`	Lifelong generative modeling. Neurocomputing Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
2020	J	`jnl`	Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning. CoRR Lionel Blondé, Pablo Strasser, Alexandros Kalousis
2019	C	`conf`	A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning. IPIN Grigorios G. Anagnostopoulos, Alexandros Kalousis
2019	J	`jnl`	A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning. CoRR Grigorios G. Anagnostopoulos, Alexandros Kalousis
2019	—	`conf`	A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN. WPNC Grigorios G. Anagnostopoulos, Alexandros Kalousis
2019	J	`jnl`	A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN. CoRR Grigorios G. Anagnostopoulos, Alexandros Kalousis
2019	J	`jnl`	HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion. CoRR Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
2019	J	`jnl`	Improving VAE generations of multimodal data through data-dependent conditional priors. CoRR Frantzeska Lavda, Magda Gregorová, Alexandros Kalousis
2019	J	`jnl`	Learning by stochastic serializations. CoRR Pablo Strasser, Stéphane Armand, Stéphane Marchand-Maillet, Alexandros Kalousis
2019	C	`conf`	Learning to Augment with Feature Side-information. ACML Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis
2019	A	`conf`	Sample-Efficient Imitation Learning via Generative Adversarial Nets. AISTATS Lionel Blondé, Alexandros Kalousis
2019	A	`conf`	Variational Saccading: Efficient Inference for Large Resolution Images. BMVC Jason Ramapuram, Maurits Diephuis, Frantzeska Lavda, Russ Webb, Alexandros Kalousis
2018	J	`jnl`	Biomedical ontology alignment: an approach based on representation learning. J. Biomed. Semant. Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith, Dimitris Kiritsis
2018	J	`jnl`	Continual Classification Learning Using Generative Models. CoRR Frantzeska Lavda, Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
2018	—	`conf`	DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors. NAACL-HLT Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis
2018	—	`conf`	Large-Scale Nonlinear Variable Selection via Kernel Random Features. ECML/PKDD (2) Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
2018	J	`jnl`	Large-scale Nonlinear Variable Selection via Kernel Random Features. CoRR Magda Gregorová, Jason Ramapuram, Alexandros Kalousis, Stéphane Marchand-Maillet
2018	J	`jnl`	Sample-Efficient Imitation Learning via Generative Adversarial Nets. CoRR Lionel Blondé, Alexandros Kalousis
2018	A	`conf`	Structured nonlinear variable selection. UAI Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet
2018	J	`jnl`	Structured nonlinear variable selection. CoRR Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
2018	J	`jnl`	Variational Saccading: Efficient Inference for Large Resolution Images. CoRR Jason Ramapuram, Maurits Diephuis, Russ Webb, Alexandros Kalousis
2017	—	`conf`	Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. ECML/PKDD (2) Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
2017	J	`jnl`	Forecasting and Granger Modelling with Non-linear Dynamical Dependencies. CoRR Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet
2017	C	`conf`	Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. ACML Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
2017	J	`jnl`	Lifelong Generative Modeling. CoRR Jason Ramapuram, Magda Gregorova, Alexandros Kalousis
2017	A*	`conf`	Regularising Non-linear Models Using Feature Side-information. ICML Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
2017	J	`jnl`	Regularising Non-linear Models Using Feature Side-information. CoRR Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
2017	C	`conf`	Semi Supervised Relevance Learning for Feature Selection on High Dimensional Data. AICCSA Afef Ben Brahim, Alexandros Kalousis
2016	J	`jnl`	Factorizing LambdaMART for cold start recommendations. Mach. Learn. Phong Nguyen, Jun Wang, Alexandros Kalousis
2015	J	`jnl`	Factorizing LambdaMART for cold start recommendations. CoRR Phong Nguyen, Jun Wang, Alexandros Kalousis
2015	A*	`conf`	Information Geometry and Minimum Description Length Networks. ICML Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet
2015	J	`jnl`	Learning vector autoregressive models with focalised Granger-causality graphs. CoRR Magda Gregorova, Alexandros Kalousis, Stéphane Marchand-Maillet, Jun Wang
2015	—	`conf`	Space-Time Local Embeddings. NIPS Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet
2015	J	`jnl`	The Data Mining OPtimization Ontology. J. Web Semant. C. Maria Keet, Agnieszka Lawrynowicz, Claudia d'Amato, Alexandros Kalousis, Phong Nguyen, Raúl Palma, Robert Stevens, Melanie Hilario
2014	A*	`conf`	Two-Stage Metric Learning. ICML Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis
2014	J	`jnl`	Two-Stage Metric Learning. CoRR Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis
2014	J	`jnl`	Using Meta-mining to Support Data Mining Workflow Planning and Optimization. J. Artif. Intell. Res. P. Nguyen, Melanie Hilario, Alexandros Kalousis
2013	J	`jnl`	A Metric-learning based framework for Support Vector Machines and Multiple Kernel Learning. CoRR Huyen Do, Alexandros Kalousis
2013	—	`conf`	Convex formulations of radius-margin based Support Vector Machines. ICML (1) Huyen Do, Alexandros Kalousis
2012	A	`conf`	A metric learning perspective of SVM: on the relation of LMNN and SVM. AISTATS Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
2012	J	`jnl`	A metric learning perspective of SVM: on the relation of SVM and LMNN CoRR Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica
2012	J	`jnl`	Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining CoRR Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis
2012	A*	`conf`	Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining. ICDM Phong Nguyen, Jun Wang, Melanie Hilario, Alexandros Kalousis
2012	—	`conf`	Learning Neighborhoods for Metric Learning. ECML/PKDD (1) Jun Wang, Adam Woznica, Alexandros Kalousis
2012	J	`jnl`	Learning Neighborhoods for Metric Learning. CoRR Jun Wang, Adam Woznica, Alexandros Kalousis
2012	A*	`conf`	Model mining for robust feature selection. KDD Adam Woznica, Phong Nguyen, Alexandros Kalousis
2012	J	`jnl`	Parametric Local Metric Learning for Nearest Neighbor Classification CoRR Jun Wang, Adam Woznica, Alexandros Kalousis
2012	—	`conf`	Parametric Local Metric Learning for Nearest Neighbor Classification. NIPS Jun Wang, Alexandros Kalousis, Adam Woznica
2012	J	`jnl`	Relationship-aware sequential pattern mining CoRR Nabil Stendardo, Alexandros Kalousis
2012	J	`jnl`	Structuring Relevant Feature Sets with Multiple Model Learning CoRR Jun Wang, Alexandros Kalousis
2011	—	`conf`	Metric Learning with Multiple Kernels. NIPS Jun Wang, Huyen Do, Adam Woznica, Alexandros Kalousis
2011	—	`ch.`	Ontology-Based Meta-Mining of Knowledge Discovery Workflows. Meta-Learning in Computational Intelligence Melanie Hilario, Phong Nguyen, Huyen Do, Adam Woznica, Alexandros Kalousis
2010	—	`conf`	A New Framework for Dissimilarity and Similarity Learning. PAKDD (2) Adam Woznica, Alexandros Kalousis
2010	A*	`conf`	Adaptive Distances on Sets of Vectors. ICDM Adam Woznica, Alexandros Kalousis
2010	—	`conf`	Adaptive Matching Based Kernels for Labelled Graphs. PAKDD (2) Adam Woznica, Alexandros Kalousis, Melanie Hilario
2010	J	`jnl`	Addressing the Challenge of Defining Valid Proteomic Biomarkers and Classifiers. BMC Bioinform. Mohammed Dakna, Keith Harris, Alexandros Kalousis, Sebastien Carpentier, Walter Kolch, Joost P. Schanstra, Marion Haubitz, Antonia Vlahou, Harald Mischak, Mark A. Girolami
2009	—	`conf`	Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs. ECML/PKDD (1) Huyen Do, Alexandros Kalousis, Melanie Hilario
2009	—	`conf`	Margin and Radius Based Multiple Kernel Learning. ECML/PKDD (1) Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario
2009	—	`conf`	Predicting the location of mobile users: a machine learning approach. ICPS Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Miltos Kyriakakos, Alexandros Kalousis
2008	A	`conf`	A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. SDM Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis
2008	J	`jnl`	Approaches to dimensionality reduction in proteomic biomarker studies. Briefings Bioinform. Melanie Hilario, Alexandros Kalousis
2008	A	`conf`	Feature Selection with the logRatio Kernel. SDM Julien Prados, Alexandros Kalousis, Melanie Hilario
2007	A*	`conf`	Learning to combine distances for complex representations. ICML Adam Woznica, Alexandros Kalousis, Melanie Hilario
2007	—	`conf`	Path Prediction through Data Mining. ICPS Theodoros Anagnostopoulos, Christos Anagnostopoulos, Stathes Hadjiefthymiades, Alexandros Kalousis, Miltiadis Kyriakakos
2007	J	`jnl`	Stability of feature selection algorithms: a study on high-dimensional spaces. Knowl. Inf. Syst. Alexandros Kalousis, Julien Prados, Melanie Hilario
2006	A*	`conf`	Distances and (Indefinite) Kernels for Sets of Objects. ICDM Adam Woznica, Alexandros Kalousis, Melanie Hilario
2006	B	`conf`	Kernels on Lists and Sets over Relational Algebra: An Application to Classification of Protein Fingerprints. PAKDD Adam Woznica, Alexandros Kalousis, Melanie Hilario
2006	B	`conf`	On Preprocessing of SELDI-MS Data and its Evaluation. CBMS Julien Prados, Alexandros Kalousis, Melanie Hilario
2005	—	`conf`	Feature Extraction from Mass Spectra for Classification of Pathological States. PKDD Alexandros Kalousis, Julien Prados, Elton Rexhepaj, Melanie Hilario
2005	B	`conf`	Kernels over Relational Algebra Structures. PAKDD Adam Woznica, Alexandros Kalousis, Melanie Hilario
2005	A*	`conf`	Stability of Feature Selection Algorithms. ICDM Alexandros Kalousis, Julien Prados, Melanie Hilario
2004	B	`conf`	Distilling Classification Models from Cross Validation Runs: An Application to Mass Spectrometry. ICTAI Alexandros Kalousis, Julien Prados, Jean-Charles Sanchez, Laure Allard, Melanie Hilario
2004	J	`jnl`	On Data and Algorithms: Understanding Inductive Performance. Mach. Learn. Alexandros Kalousis, João Gama, Melanie Hilario
2003	A*	`conf`	Representational Issues in Meta-Learning. ICML Alexandros Kalousis, Melanie Hilario
2001	—	`conf`	Estimating the Predictive Accuracy of a Classifier. ECML Hilan Bensusan, Alexandros Kalousis
2001	B	`conf`	Feature Selection for Meta-learning. PAKDD Alexandros Kalousis, Melanie Hilario
2001	—	`conf`	Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection. PKDD Melanie Hilario, Alexandros Kalousis
2001	J	`jnl`	Model Selection via Meta-Learning: A Comparative Study. Int. J. Artif. Intell. Tools Alexandros Kalousis, Melanie Hilario
2000	B	`conf`	Model selection via meta-learning: a comparative study. ICTAI Alexandros Kalousis, Melanie Hilario
2000	—	`conf`	Quantifying the Resilience of Inductive Classification Algorithms. PKDD Melanie Hilario, Alexandros Kalousis
1999	J	`jnl`	NOEMON: Design, implementation and performance results of an intelligent assistant for classifier selection. Intell. Data Anal. Alexandros Kalousis, Theoharis Theoharis
1995	—	`conf`	KNOWEL: A Hypermedia Knowledge Editor. DEXA Workshop Michalis Vazirgiannis, Alexandros Kalousis, Michael Hatzopoulos