A. Ali Heydari

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Convex Loss Functions

Bregman Divergences

Pairwise Similarities

Metric Learning

Top Venues

J. Comput. Phys.

Publications

A. Ali Heydari, Naghmeh Rezaei, Javier L. Prieto, Shwetak N. Patel, Ahmed A. Metwally
Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning. CoRR (2024)
A. Ali Heydari, Oscar A. Davalos, Katrina K. Hoyer, Suzanne S. Sindi
N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification. CoRR (2022)
A. Ali Heydari, Naghmeh Rezaei, Daniel J. McDuff, Javier L. Prieto
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective. CoRR (2022)
A. Ali Heydari, Oscar A. Davalos, Lihong Zhao, Katrina K. Hoyer, Suzanne S. Sindi
: realistic single-cell RNA-seq generation with automatic cell-type identification using introspective variational autoencoders. Bioinform. 38 (8) (2022)
A. Ali Heydari, Suzanne S. Sindi, Maxime Theillard
Conservative finite volume method on deforming geometries: The case of protein aggregation in dividing yeast cells. J. Comput. Phys. 448 (2022)
A. Ali Heydari, Craig A. Thompson, Asif Mehmood
SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions. CoRR (2019)