177 citations · 189 across the 18 of their papers we have counts for
4 papers · 1 filter
ROTE: Benchmarking Neural Memorization on Complexity-Controlled Symbolic Sequences
Xinye Chen, Stefan Güttel, Mohammad Mozaffari
We introduce ROTE (RollOut Testing of Exact memorization), a benchmarking protocol for evaluating symbolic memorization of neural architectures. We study memorization and the exten…
Fast and explainable clustering based on sorting
Xinye Chen, Stefan Güttel
We introduce a fast and explainable clustering method called CLASSIX. It consists of two phases, namely a greedy aggregation phase of the sorted data into groups of nearby data poi…
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit
Kamil Oster, Stefan Güttel, Lu Chen +2
Product quality assessment in the petroleum processing industry can be difficult and time-consuming, e.g. due to a manual collection of liquid samples from the plant and subsequent…
A comparison of LSTM and GRU networks for learning symbolic sequences
Roberto Cahuantzi, Xinye Chen, Stefan Güttel
We explore the architecture of recurrent neural networks (RNNs) by studying the complexity of string sequences it is able to memorize. Symbolic sequences of different complexity ar…