Publications

82 entries « 1 of 2 »

2023

Falkiewicz, Maciej; Takeishi, Naoya; Shekhzadeh, Imahn; Wehenkel, Antoine; Delaunoy, Arnaud; Louppe, Gilles; Kalousis, Alexandros

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability Unpublished

2023.

Abstract | Links | BibTeX

2022

Takeishi, Naoya; Kalousis, Alexandros

Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Unpublished

2022, (arXiv:2210.13103).

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Anagnostopoulos, Grigorios G; Kalousis, Alexandros

Can I Trust This Location Estimate? Reproducibly Benchmarking the Methods of Dynamic Accuracy Estimation of Localization Journal Article

Sensors MDPI, 22 (3), pp. 39, 2022, ISSN: 1424-8220.

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2021

Takeishi, Naoya; Kalousis, Alexandros

Variational Autoencoder with Differentiable Physics Engine for Human Gait Analysis and Synthesis Workshop

Deep Generative Models and Downstream Applications Workshop, 2021.

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Takeishi, Naoya; Kalousis, Alexandros

Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Inproceedings

Advances in Neural Information Processing Systems 34, 2021.

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Anagnostopoulos, Grigorios G; Kalousis, Alexandros

Towards Reproducible Indoor Positioning Research Inproceedings

conference, IPIN 2021 (Ed.): IPIN 2021 conference, 2021.

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Anagnostopoulos, Grigorios G; Kalousis, Alexandros

Proximity-Based Fingerprint Augmentation Inproceedings

conference, IPIN 2021 (Ed.): IPIN 2021 conference, 2021.

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Anagnostopoulos, Grigorios G; Kalousis, Alexandros

Analysing the Data-Driven Approach of Dynamically Estimating Positioning Accuracy Inproceedings

IoT, IEEE ICC 2021 -; Symposium, Sensor Networks (Ed.): IEEE ICC 2021 - IoT and Sensor Networks Symposium, 2021.

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Gregorova, Magda; Desaules, Marc; Kalousis, Alexandros

Learned transform compression with optimized entropy encoding Inproceedings

Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021.

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2020

Mollaysa, Amina; Paige, Brooks; Kalousis, Alexandros

Goal-directed Generation of Discrete Structures with Conditional Generative Models Inproceedings

Proceedings of the 44th Conference on Neural Information Processing Systems, NeurIPS , 2020.

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Amina Mollaysa Brooks Paige, Alexandros Kalousis

Conditional generation of molecules from disentangled representations Workshop

Machine Learning for Molecules Workshop NeurIPS , 2020.

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Lavda, Frantzeska; Gregorova, Magda; Kalousis, Alexandros

Data-Dependent Conditional Priors for Unsupervised Learning of Multimodal Data Journal Article

Entropy2020, 22(8) (888), 2020.

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Lavda, Frantzeska; Gregorová, Magda; Kalousis, Alexandros

Improving VAE generations of multimodal data through data-dependent conditional priors Conference

24th European Conference on Artificial Intelligence, 325 , IOS Press, 2020.

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Alayrac, Jean-Baptiste; Recasens, Adrià; Schneider, Rosalia; Arandjelović, Relja; Ramapuram, Jason; Fauw, Jeffrey De; Smaira, Lucas; Dieleman, Sander; Zisserman, Andrew

Self-Supervised MultiModal Versatile Networks Unpublished

2020.

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Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Lifelong generative modeling Journal Article

Neurocomputing, 404 , pp. 381 - 400, 2020, ISSN: 0925-2312, (Code: https://bitbucket.org/dmmlgeneva/lifelonggenerativemodeling).

Abstract | Links | BibTeX

2019

Mollaysa, Amina; Kalousis, Alexandros; Bruno, Eric; Diephuis, Maurits

Learning to Augment with Feature Side-information Conference

Proceedings of The Eleventh Asian Conference on Machine Learning, 2019.

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Anagnostopoulos, Grigorios G; Kalousis, Alexandros

A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN Conference

2019, ISBN: 978-1-7281-2082-9, (WPNC 2019, Preprint available: https://arxiv.org/abs/1908.05085).

Abstract | Links | BibTeX

Anagnostopoulos, Grigorios G; Kalousis, Alexandros

A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning Conference

2019, ISBN: 978-1-7281-1788-1, (IPIN 2019, Preprint available : https://arxiv.org/abs/1908.06851).

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Ramapuram, Jason; Webb, Russ

Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions. Conference

IEEE WCCI 2020, IEEE 2019, (Code: http://github.com/apple/ml-dab).

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Blondé, Lionel; Kalousis, Alexandros

Sample-Efficient Imitation Learning via Generative Adversarial Nets Inproceedings

The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan, pp. 3138–3148, 2019.

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Boget, Yoann

Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment Journal Article

arXiv preprint arXiv:1910.09106, 2019.

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2018

Ramapuram, Jason; Lavda, Frantzeska; Webb, Russ; Kalousis, Alexandros; Diephuis, Maurits

Variational Saccading: Efficient Inference for Large Resolution Images Conference

BMVC 2019 & Bayesian Deep Learning Workshop Neurips, 2018, (Code: https://github.com/jramapuram/variational_saccading).

Abstract | Links | BibTeX

Gregorova, Magda

Sparse learning for variable selection with structures and nonlinearities PhD Thesis

2018, (PhD Thesis ID: unige:115678).

Abstract | Links | BibTeX

Lavda, Frantzeska; Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Continual Classification Learning Using Generative Models Workshop

Continual learning Workshop NeurIPS 2018, 2018.

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Ramapuram, Jason; Webb, Russ

A New Benchmark and Progress Toward Improved Weakly Supervised Learning Journal Article

BMVC 2018, abs/1807.00126 , 2018, (Code: https://github.com/apple/ml-all-pairs).

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Blondé, Lionel; Kalousis, Alexandros

Sample-Efficient Imitation Learning via Generative Adversarial Nets Conference

abs/1809.02064 , 2018.

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Gregorová, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Structured nonlinear variable selection Inproceedings

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018, pp. 23–32, 2018.

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Gregorová, Magda; Ramapuram, Jason; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Large-Scale Nonlinear Variable Selection via Kernel Random Features Inproceedings

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II, pp. 177–192, 2018.

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2017

Gregorová, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Inproceedings

Proceedings of The 9th Asian Conference on Machine Learning, ACML 2017, Seoul, Korea, November 15-17, 2017., pp. 161–176, 2017.

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Mollaysa, Amina; Strasser, Pablo; Kalousis, Alexandros

Regularising Non-linear Models Using Feature Side-information Inproceedings

Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp. 2508–2517, 2017.

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Gregorová, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Forecasting and Granger Modelling with Non-linear Dynamical Dependencies Inproceedings

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, pp. 544–558, 2017.

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Ramapuram, Jason; Gregorova, Magda; Kalousis, Alexandros

Lifelong Generative Modeling Journal Article

Elsevier Neurocomputing 2020, abs/1705.09847 , 2017.

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2016

Nguyen, Phong; Wang, Jun; Kalousis, Alexandros

Factorizing LambdaMART for cold start recommendations Journal Article

Machine Learning, 104 (2-3), pp. 223–242, 2016.

Abstract | Links | BibTeX

2015

Nguyen, Phong

Meta-mining: a meta-learning framework to support the recommendation, planning and optimization of data mining workflows PhD Thesis

Thesis PhD, University Of Geneva, Computer Science Department, 2015, (ID: unige:86131).

Abstract | Links | BibTeX

Wang, Jun

Improved Distance Metric Learning for Nearest Neighbor Classification PhD Thesis

Phd Thesis, University of Geneva, Computer Science Department, 2015, (ID: unige:76989).

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Keet, Maria C; Lawrynowicz, Agnieszka; d'Amato, Claudia; Kalousis, Alexandros; Nguyen, Phong; Palma, Raul; Stevens, Robert; Hilario, Melanie

The Data Mining OPtimization Ontology Journal Article

J. Web Sem., 32 , pp. 43–53, 2015.

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Sun, Ke; Wang, Jun; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Information Geometry and Minimum Description Length Networks Inproceedings

Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015, pp. 49–58, 2015.

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Sun, Ke; Wang, Jun; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Space-Time Local Embeddings Inproceedings

Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada, pp. 100–108, 2015.

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Gregorova, Magda; Kalousis, Alexandros; Dinuzzo, Francesco

Functional learning of time-series models preserving Granger-causality structures Inproceedings

Proceedings of the Time Series Workshop of the 29th Neural Information Processing Systems conference, NIPS-2015, 11th December 2015 2015.

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Gregorova, Magda; Kalousis, Alexandros; Marchand-Maillet, Stéphane

Learning coherent Granger-causality in panel vector autoregressive models Inproceedings

Proceedings of the Demand Forecasting Workshop of the 32nd International Conference on Machine Learning, ICML 2015.

Abstract | Links | BibTeX

2014

Nguyen, Phong; Hilario, Melanie; Kalousis, Alexandros

Using Meta-mining to Support Data Mining Workflow Planning and Optimization Journal Article

J. Artif. Intell. Res., 51 , pp. 605–644, 2014.

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Wang, Jun; Sun, Ke; Sha, Fei; Marchand-Maillet, Stéphane; Kalousis, Alexandros

Two-Stage Metric Learning Inproceedings

Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, pp. 370–378, 2014.

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2013

Do, Huyen; Kalousis, Alexandros

Convex formulations of radius-margin based Support Vector Machines Inproceedings

Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, pp. 169–177, 2013.

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2012

Do, Huyen

A unified framework for Support Vector Machines, Multiple Kernel Learning and metric learning PhD Thesis

PhD Thesis, University of Geneva, Computer Science Department., 2012, (ID: unige:24004).

Abstract | Links | BibTeX

Nguyen, Phong; Wang, Jun; Hilario, Melanie; Kalousis, Alexandros

Learning Heterogeneous Similarity Measures for Hybrid-Recommendations in Meta-Mining Inproceedings

12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, pp. 1026–1031, 2012.

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Woznica, Adam; Nguyen, Phong; Kalousis, Alexandros

Model mining for robust feature selection Inproceedings

The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pp. 913–921, 2012.

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Wang, Jun; Kalousis, Alexandros; Woznica, Adam

Parametric Local Metric Learning for Nearest Neighbor Classification Inproceedings

Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States., pp. 1610–1618, 2012.

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Wang, Jun; Woznica, Adam; Kalousis, Alexandros

Learning Neighborhoods for Metric Learning Inproceedings

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I, pp. 223–236, 2012.

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Do, Huyen; Kalousis, Alexandros; Wang, Jun; Woznica, Adam

A metric learning perspective of SVM: on the relation of LMNN and SVM Inproceedings

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, April 21-23, 2012, pp. 308–317, 2012.

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Stendardo, Nabil; Kalousis, Alexandros

Relationship-aware sequential pattern mining Journal Article

CoRR, abs/1212.5389 , 2012.

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82 entries « 1 of 2 »