1.7k citations · 2.4k across the 47 of their papers we have counts for
10 papers · 1 filter
The Tensor Brain: Semantic Decoding for Perception and Memory
Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki +1
We analyse perception and memory, using mathematical models for knowledge graphs and tensors, to gain insights into the corresponding functionalities of the human mind. Our discuss…
Efficient Dialog Policy Learning via Positive Memory Retention
Rui Zhao, Volker Tresp
This paper is concerned with the training of recurrent neural networks as goal-oriented dialog agents using reinforcement learning. Training such agents with policy gradients typic…
Improving Information Extraction from Images with Learned Semantic Models
Stephan Baier, Yunpu Ma, Volker Tresp
Many applications require an understanding of an image that goes beyond the simple detection and classification of its objects. In particular, a great deal of semantic information…
Embedding Models for Episodic Knowledge Graphs
Yunpu Ma, Volker Tresp, Erik Daxberger
In recent years a number of large-scale triple-oriented knowledge graphs have been generated and various models have been proposed to perform learning in those graphs. Most knowled…
The Tensor Memory Hypothesis
Volker Tresp, Yunpu Ma
We discuss memory models which are based on tensor decompositions using latent representations of entities and events. We show how episodic memory and semantic memory can be realiz…
Relational Models
Volker Tresp, Maximilian Nickel
We provide a survey on relational models. Relational models describe complete networked {domains by taking into account global dependencies in the data}. Relational models can lead…