Sebastijan Dumančić

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From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Neuro-symbolic and statistical relational artificial intelligence both i...
03/18/2020 ∙ by Luc De Raedt, et al. ∙ 15 ∙ share

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Turning 30: New Ideas in Inductive Logic Programming

Common criticisms of state-of-the-art machine learning include poor gene...
02/25/2020 ∙ by Andrew Cropper, et al. ∙ 12 ∙ share

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Knowledge Refactoring for Program Induction

Humans constantly restructure knowledge to use it more efficiently. Our ...
04/21/2020 ∙ by Sebastijan Dumančić, et al. ∙ 8 ∙ share

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Learning large logic programs by going beyond entailment

A major challenge in inductive logic programming (ILP) is learning large...
04/21/2020 ∙ by Andrew Cropper, et al. ∙ 4 ∙ share

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Demystifying Relational Latent Representations

Latent features learned by deep learning approaches have proven to be a ...
05/16/2017 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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Theory reconstruction: a representation learning view on predicate invention

With this positional paper we present a representation learning view on ...
06/28/2016 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation

The goal of unsupervised representation learning is to extract a new rep...
06/28/2016 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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An expressive dissimilarity measure for relational clustering using neighbourhood trees

Clustering is an underspecified task: there are no universal criteria fo...
04/29/2016 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints

Clustering is inherently ill-posed: there often exist multiple valid clu...
01/30/2018 ∙ by Toon Van Craenendonck, et al. ∙ 0 ∙ share

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COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints

Constraint-based clustering algorithms exploit background knowledge to c...
03/29/2018 ∙ by Toon Van Craenendonck, et al. ∙ 0 ∙ share

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COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series

Clustering is ubiquitous in data analysis, including analysis of time se...
05/02/2018 ∙ by Toon Van Craenendonck, et al. ∙ 0 ∙ share

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DeepProbLog: Neural Probabilistic Logic Programming

We introduce DeepProbLog, a probabilistic logic programming language tha...
05/28/2018 ∙ by Robin Manhaeve, et al. ∙ 0 ∙ share

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On embeddings as alternative paradigm for relational learning

Many real-world domains can be expressed as graphs and, more generally, ...
06/29/2018 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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On embeddings as an alternative paradigm for relational learning

Many real-world domains can be expressed as graphs and, more generally, ...
06/29/2018 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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Learning Sequence Encoders for Temporal Knowledge Graph Completion

Research on link prediction in knowledge graphs has mainly focused on st...
09/10/2018 ∙ by Alberto García-Durán, et al. ∙ 0 ∙ share

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Learning Relational Representations with Auto-encoding Logic Programs

Deep learning methods capable of handling relational data have prolifera...
03/29/2019 ∙ by Sebastijan Dumančić, et al. ∙ 0 ∙ share

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Sebastijan Dumančić

Featured Co-authors

Mathias Niepert

Thomas Demeester

Giuseppe Marra

Luc De Raedt

Hendrik Blockeel

Alberto García-Durán

Andrew Cropper

Tias Guns

Wannes Meert

Angelika Kimmig

Toon Van Craenendonck

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Turning 30: New Ideas in Inductive Logic Programming

Knowledge Refactoring for Program Induction

Learning large logic programs by going beyond entailment

Demystifying Relational Latent Representations

Theory reconstruction: a representation learning view on predicate invention

Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation

An expressive dissimilarity measure for relational clustering using neighbourhood trees

COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints

COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints

COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series

DeepProbLog: Neural Probabilistic Logic Programming

On embeddings as alternative paradigm for relational learning

On embeddings as an alternative paradigm for relational learning

Learning Sequence Encoders for Temporal Knowledge Graph Completion

Learning Relational Representations with Auto-encoding Logic Programs