3 papers
cs.LG2025
SoftStep: Learning Sparse Similarity Powers Deep Neighbor-Based Regression
Aviad Susman, Baihan Lin, Mayte Suárez-Fariñas +1
Neighbor-based methods are a natural alternative to linear prediction for tabular data when relationships between inputs and targets exhibit complexity such as nonlinearity, period…
cs.LG2024
Theoretically informed selection of latent activation in autoencoder based recommender systems
Aviad Susman
Autoencoders may lend themselves to the design of more accurate and computationally efficient recommender systems by distilling sparse high-dimensional data into dense lower-dimens…
cs.LG2024
Longitudinal Ensemble Integration for sequential classification with multimodal data
Aviad Susman, Rupak Krishnamurthy, Yan Chak Li +5
Effectively modeling multimodal longitudinal data is a pressing need in various application areas, especially biomedicine. Despite this, few approaches exist in the literature for…