13 citations
- University of TorontoCA5 papers
- AstraZeneca (Australia)AU1 paper
- AstraZeneca (Brazil)BR1 paper
- Berlin Institute for the Foundations of Learning and DataDE1 paper
- Health Sciences CentreCA1 paper
- HEC MontréalCA1 paper
- Sunnybrook Health Science CentreCA1 paper
- Sunnybrook Research Institute1 paper
- Technische Universität BerlinDE1 paper
- University of WaterlooCA1 paper
6 papers
Gradient-Guided Furthest Point Sampling for Robust Training Set Selection
Morris Trestman, Stefan Gugler, Felix A. Faber +1
Training set sampling methods are used to improve model performance and lower data costs in machine learning problems relevant to chemistry. We introduce Gradient Guided Furthest P…
Integral Field Unit Spectroscopy with One Fiber
Zehao Peng, Biprateep Dey, Chris J. Maddison +1
Integral field unit (IFU) spectroscopy provides spatially resolved spectra across galaxies, offering crucial insights into their evolution. However, its high observational cost lim…
Characterizing Stellar Streams with Error-Aware Machine Learning
Alexandros Pratsos, Biprateep Dey, Ting S. Li
Stellar streams are thin, elongated collections of stars formed by gravitational disruption of orbiting star clusters or dwarf galaxies and are highly sensitive probes of the Milky…
A generalizable 3D framework and model for self-supervised learning in medical imaging
Tony Xu, Sepehr Hosseini, Chris Anderson +4
Current self-supervised learning methods for 3D medical imaging rely on simple pretext formulations and organ- or modality-specific datasets, limiting their generalizability and sc…
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
Rushabh Solanki, Meghana Bhange, Ulrich Aïvodji +1
The integration of AI into daily life has generated considerable attention and excitement, while also raising concerns about automating algorithmic harms and re-entrenching existin…
Design Principles for Enhanced Quantum Transport with Site-Dependent Noise
Maggie Lawrence, Elise Wang, Dvira Segal
Environmental noise can enhance transport, an effect known as environmental noise-assisted quantum transport. Most theoretical studies focus on optimizing system parameters under s…