- Distributed and Parallel Computing Systems
- Electromagnetic Compatibility and Measurements
- Data Stream Mining Techniques
- Traffic Prediction and Management Techniques
- Astrophysics and Cosmic Phenomena
- Particle Accelerators and Free-Electron Lasers
- Particle physics theoretical and experimental studies
- Urban and Freight Transport Logistics
- Stock Market Forecasting Methods
- Advanced Text Analysis Techniques
- Food Supply Chain Traceability
European Organization for Nuclear Research
2023-2024
Information Technologies Institute
2021-2022
Centre for Research and Technology Hellas
2021-2022
In recent years, the area of financial forecasting has attracted high interest due to emergence huge data volumes (big data) and advent more powerful modeling techniques such as deep learning. To generate forecasts, systems are developed that combine methods from various scientific fields, information retrieval, natural language processing this paper, we present ASPENDYS, a supportive platform for investors combines aforementioned fields aiming facilitate management decision making...
Recently, transformer-based foundation models have proven to be a generalized architecture applicable various data modalities, ranging from text audio and even combination of multiple modalities. Transformers by design should accurately model the non-trivial structure particle showers thanks absence strong inductive bias, better modeling long-range dependencies, interpolation extrapolation capabilities. In this paper, we explore generative for detector-agnostic fast shower simulation, where...