Name: AIME21
Start: 2021-11-11T09:00:00+01:00
End: 2021-11-12T22:10:00+01:00
Location: No location set

AIME21

from Thursday, 11 November 2021 (09:00) to Friday, 12 November 2021 (22:10)

Monday, 8 November 2021
Tuesday, 9 November 2021
Wednesday, 10 November 2021
Thursday, 11 November 2021
14:00
14:00 - 14:10
Contributions

14:00 Greeting - Peter Levai (WIGNER RCP)

14:05 Opening - István Szabó (vice president, National Research, Development and Innovation Office, Hungary)
14:10 First Session
First Session
14:10 - 15:20
Contributions

14:10 Machine Translation Yesterday, Today and Tomorrow - Gábor Prószéky (PPKE ITK, NYTK Budapest)

14:55 Computations of Open Quantum Systems - András Vukics (Wigner RCP)
15:20 Coffee Break
Coffee Break
15:20 - 15:35
15:35 Second Session
Second Session
15:35 - 17:55
Contributions

15:35 AI and the Future of Long Term Data - Alexander Szalay (Johns Hopkins University)

16:20 Advances in Quantum Machine Learning: Theory and Experiment - Seth Lloyd (MIT)

17:05 An Ultra-high Dimensional, Multi-class Synthetic Data Generator to Imitate Biometric Feature Spaces - Dávid Hanák (Cursor Insight) Gergely Hanczár (Cursor Insight)

17:30 Photonic Quantum Policy Learning in OpenAI Gym - Dániel Nagy
Friday, 12 November 2021
09:00 First Session
First Session
09:00 - 10:30
Contributions

09:00 Machine Learning for Simulation in High Energy Physics - Dalila Salamani (CERN)

09:45 Using high-level C++ for HEP Data Processing on Accelerators - Attila Krasznahorkay (CERN)
10:30 Coffee Break
Coffee Break
10:30 - 10:45
10:45 Second Session
Second Session
10:45 - 12:25
Contributions

10:45 Machine Learning Applications in Astronomy - Róbert Szabó (Konkoly Observatory, ELKH CSFK, Research Centre for Astronomy and Earth Sciences, Budapest)

11:10 Deep learning-based microscopy automation applications - Krisztián Koós (ELKH SZBK)

11:35 Machine Learning on Graphs and Quantum Graphs for Particle Tracking and Industrial Applications - Dobos Dániel (GluoNNet) Richard Forster (CERN, Switzerland)

12:00 Utilise network science in multidimensional system modelling and analysis of complex manufacturing system - László Nagy (PhD student)
12:25 Lunch Break
Lunch Break
12:25 - 14:00
14:00
14:00 - 15:35
Contributions

14:00 Quantum Machine Learning: Prospects and challenges - Iordanis Kerenidis (CNRS Paris & QC Ware)

14:45 Models of Network Dynamics and Learning in the Hippocampus - Szabolcs Káli (KOKI, Budapest, Hungary)

15:10 Variable Projection Networks with Applications in Signal Processing - Péter Kovács (Department of Numerical Analysis, Faculty of Informatics, Eötvös Loránd University)
15:35 Coffee Break
Coffee Break
15:35 - 15:50
15:50
15:50 - 17:25
Contributions

15:50 AI model explainers in abstract interpretable qualitative modeling - Balázs Márk Hain (Department of Measurement and Information Systems, Budapest University of Technology and Economics) András Pataricza (Department of Measurement and Information Systems, Budapest University of Technology and Economics)

16:15 Industrial Challenges in Multi-task and Multi-sensor Systems - Csaba Nemes (Continental Hungary) Róbert Kabai (Continental Hungary)

17:00 Empirical System Identification and Qualitative Reasoning - András Földvári András Pataricza (Department of Measurement and Information Systems, Budapest University of Technology and Economics)