Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval. - Praneeth Vepakomma; Julia Balla; Ramesh Raskar (CoRR, 2021)

PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval. - Praneeth Vepakomma; Julia Balla; Ramesh Raskar (AAAI, 2022)

AI-Assisted Discovery of Quantitative and Formal Models in Social Science. - Julia Balla; Sihao Huang; Owen Dugan; Rumen Dangovski; Marin Soljacic (CoRR, 2022)

Over-Squashing in Riemannian Graph Neural Networks. - Julia Balla (CoRR, 2023)

CodonMPNN for Organism Specific and Codon Optimal Inverse Folding. - Hannes Stark; Umesh Padia; Julia Balla; Cameron Diao; George Church (CoRR, 2024)

A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing. - Julia Balla; Siddharth Mishra-Sharma; Carolina Cuesta-Lázaro; Tommi S. Jaakkola; Tess E. Smidt (CoRR, 2024)