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Helen Qu
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2020 – today
- 2024
- [c1]Helen Qu, Sang Michael Xie:
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations. ICML 2024 - [i7]Helen Qu, Sang Michael Xie:
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations. CoRR abs/2402.03325 (2024) - [i6]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, Eric Wong:
The FIX Benchmark: Extracting Features Interpretable to eXperts. CoRR abs/2409.13684 (2024) - 2023
- [i5]Helen Qu, Masao Sako:
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning. CoRR abs/2305.11869 (2023) - [i4]Dimitrios Tanoglidis, Bhuvnesh Jain, Helen Qu:
Transformers for scientific data: a pedagogical review for astronomers. CoRR abs/2310.12069 (2023) - [i3]Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong:
Sum-of-Parts Models: Faithful Attributions for Groups of Features. CoRR abs/2310.16316 (2023) - 2022
- [i2]Tatiana Acero-Cuellar, Federica B. Bianco, Gregory Dobler, Masao Sako, Helen Qu:
There's no difference: Convolutional Neural Networks for transient detection without template subtraction. CoRR abs/2203.07390 (2022) - [i1]Helen Qu, Masao Sako, Anais Moller, Cyrille Doux:
A Convolutional Neural Network Approach to Supernova Time-Series Classification. CoRR abs/2207.09440 (2022)
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last updated on 2024-10-16 21:23 CEST by the dblp team
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