Wide and deep neural networks achieve consistency for classification

por Radhakrishnan, Adityanarayanan, Belkin, Mikhail, Uhler, Caroline
Publicado 2023

Overparameterized neural networks implement associative memory

por Radhakrishnan, Adityanarayanan, Belkin, Mikhail, Uhler, Caroline
Publicado 2020

Simple, fast, and flexible framework for matrix completion with infinite width neural networks

por Radhakrishnan, Adityanarayanan, Stefanakis, George, Belkin, Mikhail, Uhler, Caroline
Publicado 2022

Transfer Learning with Kernel Methods

por Radhakrishnan, Adityanarayanan, Ruiz Luyten, Max, Prasad, Neha, Uhler, Caroline
Publicado 2023

Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis

por Radhakrishnan, Adityanarayanan, Damodaran, Karthik, Soylemezoglu, Ali C., Uhler, Caroline, Shivashankar, G. V.
Publicado 2017

Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing

por Belyaeva, Anastasiya, Cammarata, Louis, Radhakrishnan, Adityanarayanan, Squires, Chandler, Yang, Karren Dai, Shivashankar, G. V., Uhler, Caroline
Publicado 2021

Multi-domain translation between single-cell imaging and sequencing data using autoencoders

por Yang, Karren Dai, Belyaeva, Anastasiya, Venkatachalapathy, Saradha, Damodaran, Karthik, Katcoff, Abigail, Radhakrishnan, Adityanarayanan, Shivashankar, G. V., Uhler, Caroline
Publicado 2021

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

por Radhakrishnan, Adityanarayanan, Friedman, Sam F., Khurshid, Shaan, Ng, Kenney, Batra, Puneet, Lubitz, Steven A., Philippakis, Anthony A., Uhler, Caroline
Publicado 2023