8 citations · 8 across the 4 of their papers we have counts for
4 papers
A Unification of Discrete, Gaussian, and Simplicial Diffusion
Nuria Alina Chandra, Yucen Lily Li, Alan N. Amin +5
To model discrete sequences such as DNA, proteins, and language using diffusion, practitioners must choose between three major methods: diffusion in discrete space, Gaussian diffus…
Is Sequence Information All You Need for Bayesian Optimization of Antibodies?
Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu +4
Bayesian optimization is a natural candidate for the engineering of antibody therapeutic properties, which is often iterative and expensive. However, finding the optimal choice of…
Out-of-Distribution Detection Methods Answer the Wrong Questions
Yucen Lily Li, Daohan Lu, Polina Kirichenko +4
To detect distribution shifts and improve model safety, many out-of-distribution (OOD) detection methods rely on the predictive uncertainty or features of supervised models trained…
Simplifying Neural Network Training Under Class Imbalance
Ravid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li +2
Real-world datasets are often highly class-imbalanced, which can adversely impact the performance of deep learning models. The majority of research on training neural networks unde…