Publications by authors named "Adityanarayanan Radhakrishnan"

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PD-1 blockade during T cell priming enhances long-term protection against metastatic tumors by epigenetically tuning T cell exhaustion.
Teresa Dinter, Sebastian Mackowiak, Zachary J Rogers, Vidit Bhandarkar, Molly Y Carney, Adityanarayanan Radhakrishnan

bioRxiv· November 2025

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Single-cell image-based screens identify host regulators of Ebola virus infection dynamics.
Rebecca J Carlson, J J Patten, George Stefanakis, Brian Y Soong, Adityanarayanan Radhakrishnan

Nat Microbiol· August 2025

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Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.
Adityanarayanan Radhakrishnan, Yajit Jain, Caroline Uhler, Eric S Lander

Proc Natl Acad Sci U S A· August 2025

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Image2Reg: Linking chromatin images to gene regulation using genetic and chemical perturbation screens.
Daniel Paysan, Adityanarayanan Radhakrishnan, Xinyi Zhang, G V Shivashankar, Caroline Uhler

Cell Syst· June 2025

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Linear Recursive Feature Machines provably recover low-rank matrices.
Adityanarayanan Radhakrishnan, Mikhail Belkin, Dmitriy Drusvyatskiy

Proc Natl Acad Sci U S A· April 2025

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Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics.
Rebecca J Carlson, J J Patten, George Stefanakis, Brian Y Soong, Adityanarayanan Radhakrishnan

bioRxiv· April 2024

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Mechanism for feature learning in neural networks and backpropagation-free machine learning models.
Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit, Mikhail Belkin

Science· March 2024

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Synthetic Lethality Screening with Recursive Feature Machines.
Cathy Cai, Adityanarayanan Radhakrishnan, Caroline Uhler

bioRxiv· December 2023

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Transfer Learning with Kernel Methods.
Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, Caroline Uhler

Nat Commun· September 2023

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Wide and deep neural networks achieve consistency for classification.
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler

Proc Natl Acad Sci U S A· April 2023

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Cross-modal autoencoder framework learns holistic representations of cardiovascular state.
Adityanarayanan Radhakrishnan, Sam F Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra

Nat Commun· April 2023

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Simple, fast, and flexible framework for matrix completion with infinite width neural networks.
Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, Caroline Uhler

Proc Natl Acad Sci U S A· April 2022

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Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing.
Anastasiya Belyaeva, Louis Cammarata, Adityanarayanan Radhakrishnan, Chandler Squires, Karren Dai Yang

Nat Commun· February 2021

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Multi-domain translation between single-cell imaging and sequencing data using autoencoders.
Karren Dai Yang, Anastasiya Belyaeva, Saradha Venkatachalapathy, Karthik Damodaran, Abigail Katcoff, Adityanarayanan Radhakrishnan

Nat Commun· January 2021

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Overparameterized neural networks implement associative memory.
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler

Proc Natl Acad Sci U S A· November 2020

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Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis.
Adityanarayanan Radhakrishnan, Karthik Damodaran, Ali C Soylemezoglu, Caroline Uhler, G V Shivashankar

Sci Rep· December 2017

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