AI and Quantum Information Applications in Fundamental Physics

Contribution List

1. No classification without representation -- Efficient data representations & other challenges for anomaly detection, generative models, and supervised classification

Gregor Kasieczka

2/13/23, 2:00 PM

Talk & discussion

2. Kinematic Variables and Feature Engineering for Particle Phenomenology

KC Kong (University of Kansas)

2/13/23, 3:45 PM

Talk & discussion

3. DeeLeMa: Missing information search with Deep Learning for Mass estimation

Kayoung Ban

2/13/23, 5:00 PM

Talk & discussion

4. A review of machine learning applications of jet tagging

Daohan Wang

2/13/23, 5:30 PM

Talk & discussion

6. Normalizing flow for data-driven background estimations and other uses

Suyong Choi

2/14/23, 9:30 AM

Talk & discussion

7. Fast and Faithful Calorimeter Simulations with Normalizing Flows

Claudius Krause

2/14/23, 11:00 AM

Talk & discussion

5. Uncertainties in the era of ML

Aishik Ghosh

2/15/23, 9:30 AM

Talk & discussion

8. Novel applications of normalizing flows from LHC to Astrophysics

David Shih

2/15/23, 11:00 AM

Talk & discussion

9. Constructing novel nonparametric estimators for information-theoretic measure estimation.

Yung-Kyun Noh

2/15/23, 2:00 PM

Talk & discussion

10. Self-supervision in particle physics [remote talk]

Barry Dillon

2/15/23, 3:45 PM

Talk & discussion

12. Complicated parameter spaces and machine learnnig

Raymundo Ramos

2/15/23, 5:00 PM

Talk & discussion

13. Quantum Machine Learning Applications for Data Analysis in High Energy Physics [remote talk]

Andrea Delgado

2/16/23, 9:30 AM

Talk & discussion

14. Theory-driven quantum machine learning for HEP

Jack Araz

2/16/23, 11:00 AM

Talk & discussion

15. Quantum Machine Learning: Opportunities and Challenges (Part I)

Daniel Park

2/17/23, 9:30 AM

Talk & discussion

16. Quantum Machine Learning: Opportunities and Challenges (Part II)

Daniel Park

2/17/23, 11:00 AM

Talk & discussion

17. Effective uses of quantum simulation for particle physics

Marat Freytsis

2/17/23, 2:00 PM

Talk & discussion

18. Quantum metric learning for image analysis

Ahmed Hammad

2/17/23, 3:45 PM

Talk & discussion

19. Variational quantum algorithms

Eunok Bae

2/17/23, 4:15 PM

Talk & discussion

20. Bubble nucleation as a QUBO problem

Jae-hyeon Park (Korea Institute for Advanced Study)

2/17/23, 4:45 PM

Talk & discussion

21. Combinatorial optimization with Quantum machine

Myeonghun Park (Seoultech)

2/17/23, 5:15 PM

Talk & discussion

11. Quantum metric learning for image analysis

Ahmed Hammad

Talk & discussion