Robust AI for Primordial Physics from CMB and Large-Scale Structure
Talk, Flatiron CCA, New York City, NY, USA
Talks and presentations
Past
Combining Classical and AI Methods for Primordial Physics from Large-Scale Observations
Talk, Canadian Institute for Theoretical Astrophysics (CITA), Toronto, ON, CA
Combining Classical and AI Methods for Primordial Physics from Large-Scale Observations
Talk, Perimeter Institute, Waterloo, ON, CA
AI Reasoning for Theoretical Physics
Talk, AI4EIC at IAIFI, Boston, MA, USA
Velocity reconstruction via kSZ effect from ACT-DR6 and DESI-LS
Talk, COSMO-25, CMU, Pittsburgh USA
Neural-network enhanced estimator of the primordial non-Gaussianity from dark matter halos
Talk, Perimeter Institute, Cosmology group meeting, Waterloo, ON, CA
An autodifferentiable likelihood analysis pipeline of the CMB & LSS cross-correlation via kinetic Sunyaev-Zeldovich effect
Talk, Leinweber Institute for Theoretical Physics, University of Michigan, Ann-Arbor, MI, USA
An Autodifferentiable Likelihood Analysis of CMBxLSS Cross-Correlation via kSZ Effect
Talk, COSMO-23, Instituto de Física Teórica (IFT UAM-CSIC), Madrid, Spain
Reconstruction of Velocity of the Universe with Joint CMB & LSS Likelihood Analysis
Talk, Cosmology from Home, online