Fermilab
Author in the following contributions
- Reinventing Astronomical Survey Scheduling with Reinforcement Learning: Unveiling the Potential of Self-Driving Telescopes
- Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets
- DeepSZSim: Fast Simulations of the Thermal Sunyaev–Zel’dovich Effect in Galaxy Clusters for Simulation-based Inference
- Domain Adaptation in Gravitational Lens Analysis
- Comparing Automated Posterior Estimation Techniques for Modeling Strong Lenses In Ground-based Survey Data
- Assessing and Benchmarking the Fidelity of Posterior Inference Methods for Astrophysics Data Analysis
- Cosmology Constraints from Strong Gravitational Lensing using Hierarchical Simulation Based Inference