3 papers
cs.SE2026
The State of Generative AI in Software Development: Insights from Literature and a Developer Survey
Vincent Gurgul, Robin Gubela, Stefan Lessmann
Generative Artificial Intelligence (GenAI) rapidly transforms software engineering, yet existing research remains fragmented across individual tasks in the Software Development Lif…
cs.LG2026
Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
Vincent Gurgul, Ying Chen, Stefan Lessmann
This paper presents a Quantum Reinforcement Learning (QRL) solution to the dynamic portfolio optimization problem based on Variational Quantum Circuits. The implemented QRL approac…
q-fin.ST2024
Deep Learning and NLP in Cryptocurrency Forecasting: Integrating Financial, Blockchain, and Social Media Data
Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle
We introduce novel approaches to cryptocurrency price forecasting, leveraging Machine Learning (ML) and Natural Language Processing (NLP) techniques, with a focus on Bitcoin and Et…