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05/03/2023
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
The paper surveys automated scientific discovery, from equation discover...
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11/04/2022
Neural RELAGGS
Multi-relational databases are the basis of most consolidated data colle...
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08/31/2022
A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction
Recent years have seen a surge of novel neural network architectures for...
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08/04/2022
Invariant Representations with Stochastically Quantized Neural Networks
Representation learning algorithms offer the opportunity to learn invari...
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02/07/2022
Fair Interpretable Representation Learning with Correction Vectors
Neural network architectures have been extensively employed in the fair ...
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01/17/2022
Fair Interpretable Learning via Correction Vectors
Neural network architectures have been extensively employed in the fair ...
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01/17/2022
Fair Group-Shared Representations with Normalizing Flows
The issue of fairness in machine learning stems from the fact that histo...
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04/15/2021
Fast Private Parameter Learning and Evaluation for Sum-Product Networks
A sum-product network (SPN) is a graphical model that allows several typ...
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02/16/2021
Pattern Sampling for Shapelet-based Time Series Classification
Subsequence-based time series classification algorithms provide accurate...
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02/03/2021
Focusing Knowledge-based Graph Argument Mining via Topic Modeling
Decision-making usually takes five steps: identifying the problem, colle...
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01/11/2021
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series
Deep neural networks (DNNs) are widely used in pattern-recognition tasks...
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12/15/2020
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
Most deep neural networks are considered to be black boxes, meaning thei...
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10/23/2020
Ranking Creative Language Characteristics in Small Data Scenarios
The ability to rank creative natural language provides an important gene...
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06/02/2020
Secure Sum Outperforms Homomorphic Encryption in (Current) Collaborative Deep Learning
Deep learning (DL) approaches are achieving extraordinary results in a w...
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03/02/2020
Towards Probability-based Safety Verification of Systems with Components from Machine Learning
Machine learning (ML) has recently created many new success stories. Hen...
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09/06/2019
Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance
We present a pairwise learning to rank approach based on a neural net, c...
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04/04/2018