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11/09/2021
Next2You: Robust Copresence Detection Based on Channel State Information
Context-based copresence detection schemes are a necessary prerequisite ...
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02/18/2021
Recurrent Rational Networks
Latest insights from biology show that intelligence does not only emerge...
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04/13/2020
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
Probabilistic circuits (PCs) are a promising avenue for probabilistic mo...
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02/03/2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference
AI algorithms, and machine learning (ML) techniques in particular, are i...
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09/02/2019
DeepDB: Learn from Data, not from Queries!
The typical approach for learned DBMS components is to capture the behav...
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08/08/2019
Random Sum-Product Forests with Residual Links
Tractable yet expressive density estimators are a key building block of ...
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07/15/2019
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks
The performance of deep network learning strongly depends on the choice ...
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05/21/2019
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
Bayesian networks are a central tool in machine learning and artificial ...
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01/22/2019
Perils of Zero-Interaction Security in the Internet of Things
The Internet of Things (IoT) demands authentication systems which can pr...
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01/11/2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
We introduce SPFlow, an open-source Python library providing a simple in...
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11/15/2018
Model-based Approximate Query Processing
Interactive visualizations are arguably the most important tool to explo...
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07/24/2018
Automatic Bayesian Density Analysis
Making sense of a dataset in an automatic and unsupervised fashion is a ...
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06/05/2018
Probabilistic Deep Learning using Random Sum-Product Networks
Probabilistic deep learning currently receives an increased interest, as...
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10/09/2017
Sum-Product Networks for Hybrid Domains
While all kinds of mixed data -from personal data, over panel and scient...
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10/09/2017
Coresets for Dependency Networks
Many applications infer the structure of a probabilistic graphical model...
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02/21/2017
Algorithmes de classification et d'optimisation: participation du LIA/ADOC á DEFT'14
This year, the DEFT campaign (Défi Fouilles de Textes) incorporates a ta...
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06/16/2016
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage
Migration crisis, climate change or tax havens: Global challenges need g...
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01/20/2015
