NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (26)

cs.CV2024

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations

Helen Qu, Sang Michael Xie

cs.LG2025

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme

Rudy Morel, Francesco Pio Ramunno, Jeff Shen +18

cs.LG2025

Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups

Weiqiu You, Helen Qu, Marco Gatti +2

astro-ph.IM2023

Transformers for scientific data: a pedagogical review for astronomers

Dimitrios Tanoglidis, Bhuvnesh Jain, Helen Qu

cs.LG2025

The FIX Benchmark: Extracting Features Interpretable to eXperts

Helen Jin, Shreya Havaldar, Chaehyeon Kim +10

astro-ph.IM2021

SCONE: Supernova Classification with a Convolutional Neural Network

Helen Qu, Masao Sako, Anais Möller +1

cs.LG2026

Representation Learning for Spatiotemporal Physical Systems

Helen Qu, Rudy Morel, Michael McCabe +4

astro-ph.GA2026

Measuring the Vertical Structure of Active Galactic Nuclei Disks with Transformer Models and the Vera C. Rubin Observatory

Amy Secunda, Sebastian Wagner-Carena, Helen Qu +1

astro-ph.IM2025

AION-1: Omnimodal Foundation Model for Astronomical Sciences

Liam Parker, Francois Lanusse, Jeff Shen +24

cs.CV2025

Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models

Helen Qu, Sang Michael Xie

astro-ph.IM2022

A Convolutional Neural Network Approach to Supernova Time-Series Classification

Helen Qu, Masao Sako, Anais Moller +1

astro-ph.IM2026

Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group

Yuan-Sen Ting, Digvijay Wadekar, Phill Cargile +21

cs.AI2026

MIMIC: A Generative Multimodal Foundation Model for Biomolecules

Siavash Golkar, Jake Kovalic, Irina Espejo Morales +28

astro-ph.CO2023

Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning

Helen Qu, Masao Sako

physics.flu-dyn2026

Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence

Payel Mukhopadhyay, Stefan S. Nixon, Romain Watteaux +20

cs.CV2023

What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction

Tatiana Acero-Cuellar, Federica Bianco, Gregory Dobler +3

astro-ph.CO2022

The Pantheon+ Analysis: SuperCal-Fragilistic Cross Calibration, Retrained SALT2 Light Curve Model, and Calibration Systematic Uncertainty

Dillon Brout, Georgie Taylor, Dan Scolnic +9

stat.ML2026

Multimodal Datasets with Controllable Mutual Information

Raheem Karim Hashmani, Garrett W. Merz, Helen Qu +2

astro-ph.IM2025

Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning

Jeff Shen, Francois Lanusse, Liam Holden Parker +24

astro-ph.CO2022

The Pantheon+ Analysis: Cosmological Constraints

Dillon Brout, Dan Scolnic, Brodie Popovic +43

astro-ph.IM2021

Photometric Classification of Early-Time Supernova Lightcurves with SCONE

Helen Qu, Masao Sako

astro-ph.CO2024

Towards Precision Photometric Type Ia Supernova Cosmology with Machine Learning

Helen Qu

astro-ph.IM2024

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles +26

astro-ph.CO2026

A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification

Ayan Mitra, Richard Kessler, Rebecca C. Chen +9

cs.CL2026

T-FIX: Text-Based Explanations with Features Interpretable to eXperts

Shreya Havaldar, Weiqiu You, Chaehyeon Kim +12

astro-ph.IM2026

Three-dimensional scene reconstruction using Roman slitless spectra

Tri L. Astraatmadja, Andrew S. Fruchter, Susana E. Deustua +10