There's no difference: Convolutional Neural Networks for transient detection without template subtraction. - Tatiana Acero-Cuellar; Federica B. Bianco; Gregory Dobler; Masao Sako; Helen Qu (CoRR, 2022)

A Convolutional Neural Network Approach to Supernova Time-Series Classification. - Helen Qu; Masao Sako; Anais Moller; Cyrille Doux (CoRR, 2022)

Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning. - Helen Qu; Masao Sako (CoRR, 2023)

Transformers for scientific data: a pedagogical review for astronomers. - Dimitrios Tanoglidis; Bhuvnesh Jain; Helen Qu (CoRR, 2023)

Sum-of-Parts Models: Faithful Attributions for Groups of Features. - Weiqiu You; Helen Qu; Marco Gatti; Bhuvnesh Jain; Eric Wong 001 (CoRR, 2023)

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations. - Helen Qu; Sang Michael Xie (ICML, 2024)

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. - Eirini Angeloudi; Jeroen Audenaert; Micah Bowles; Benjamin M. Boyd; David Chemaly; Brian Cherinka; Ioana Ciuca; Miles D. Cranmer; Aaron Do; Matthew Grayling; Erin E. Hayes; Tom Hehir; et al. (NeurIPS, 2024)

The FIX Benchmark: Extracting Features Interpretable to eXperts. - Helen Jin; Shreya Havaldar; Chaehyeon Kim; Anton Xue; Weiqiu You; Helen Qu; Marco Gatti; Daniel A. Hashimoto; Bhuvnesh Jain; Amin Madani; Masao Sako; Lyle H. Ungar; et al. (CoRR, 2024)

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models. - Helen Qu; Sang Michael Xie (CoRR, 2025)