Past Events

Title: Why a tiny neutrino particle inspired me to simulate and reconstruct the entire Universe

11:00 am – 12:00 pm • In Person

Speaker(s): Adrian Bayer

Title: DIII-D tokamak scenarios: performance vs reliability for a fusion reactor

2:00 pm – 3:00 pm • In Person

Speaker(s): Max Austin

Title: Challenges and opportunities in the Universe’s large-scale structure

2:00 pm – 3:15 pm • In Person

Speaker(s): Nickolas Kokron

Title: Evolving the Universe’s large-scale structure on supercomputers and the blackboard

3:00 pm – 4:00 pm • In Person

Speaker(s): Nickolas Kokron

These meetings are for discussions of machine learning research within the department: training, journal club-style meetings, and applications. No prior machine learning expertise is required

3:00 pm – 4:00 pm • In Person

Title: Probabilistic Machine Learning for Precision Cosmology: Foundations and Frontiers

12:30 pm – 2:00 pm • In Person

Speaker(s): Matthew Ho

Title: EveNet: A Foundation Model for Unified Event-Level Representations in Collider Physics

4:00 pm – 5:00 pm • In Person

Speaker(s): Shih-Chieh Hsu

Title: Accelerating Cosmological Discovery with Trustworthy Machine Learning

3:00 pm – 4:00 pm • In Person

Speaker(s): Matthew Ho

Title: Analysis of core density collapses in LHD device

2:00 pm – 3:00 pm • In Person

Speaker(s): Jacobo Varela Rodriguez

Title: Fundamental gravity tests with the loudest gravitational-wave signal

2:00 pm – 3:15 pm • In Person

Speaker(s): Katerina Chatziioannou