9 citations · 12 across the 2 of their papers we have counts for
7 papers
Reservoir Stack Machines
Benjamin Paaßen, Alexander Schulz, Barbara Hammer
Memory-augmented neural networks equip a recurrent neural network with an explicit memory to support tasks that require information storage without interference over long times. A…
Reservoir memory machines
Benjamin Paassen, Alexander Schulz
In recent years, Neural Turing Machines have gathered attention by joining the flexibility of neural networks with the computational capabilities of Turing machines. However, Neura…
Adversarial Edit Attacks for Tree Data
Benjamin Paaßen
Many machine learning models can be attacked with adversarial examples, i.e. inputs close to correctly classified examples that are classified incorrectly. However, most research o…
Embeddings and Representation Learning for Structured Data
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli +1
Performing machine learning on structured data is complicated by the fact that such data does not have vectorial form. Therefore, multiple approaches have emerged to construct vect…
Dynamic fairness - Breaking vicious cycles in automatic decision making
Benjamin Paaßen, Astrid Bunge, Carolin Hainke +2
In recent years, machine learning techniques have been increasingly applied in sensitive decision making processes, raising fairness concerns. Past research has shown that machine…
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli +1
Metric learning has the aim to improve classification accuracy by learning a distance measure which brings data points from the same class closer together and pushes data points fr…