Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings. - Deep Chatterjee; Philip C. Harris; Maanas Goel; Malina Desai; Michael W. Coughlin; Erik Katsavounidis (CoRR, 2023)

A Neural Network-Based Search for Unmodeled Transients in LIGO-Virgo-KAGRA's Third Observing Run. - Ryan Raikman; Eric A. Moreno; Katya Govorkova; Siddharth Soni; Ethan Marx; William Benoit; Alec Gunny; Deep Chatterjee; Christina Reissel; Malina Desai; Rafia Omer; Muhammed Saleem; et al. (CoRR, 2024)

Rapid likelihood free inference of compact binary coalescences using accelerated hardware. - Deep Chatterjee; Ethan Marx; William Benoit; Ravi Kumar; Malina Desai; Ekaterina Govorkova; Alec Gunny; Eric A. Moreno; Rafia Omer; Ryan Raikman; Muhammed Saleem; Shrey Aggarwal; et al. (Mach. Learn. Sci. Technol., 2024)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)