Publications

Peer-Reviewed Journal Articles

  1. Exact Sampling of Spanning Trees via Fast-forwarded Random Walks
    Authors: Edric Tam, David B. Dunson, Leo L. Duan
    Biometrika, 2024
    arXiv

  2. An mHealth App (Speech Banana) for Auditory Training: App Design and Development Study
    Authors: J. Tilak Ratnanather, Rohit Bhattacharya, Margo B. Heston, Joanne Song, Lindsey R. Fernandez, Hong Seo Lim, Seung-Wook Lee, Edric Tam, Sungho Yoo, Seung-Ho Bae, and others
    JMIR mHealth and uHealth, 9(3), e20890, 2021

  3. Pediatric Brainstem Gliomas: A Retrospective Study of 180 Patients from the SEER Database
    Authors: Syed I. Khalid, Ryan Kelly, Owoicho Adogwa, Adam Carlton, Edric Tam, Salik Naqvi, Jacob Kushkuley, Shahjehan Ahmad, Josha Woodward, Ryan Khanna, and others
    Pediatric Neurosurgery, 2019

  4. A receptor and neuron that activate a circuit limiting sucrose consumption
    Authors: Ryan M. Joseph, Jennifer S. Sun, Edric Tam, John R. Carlson
    eLife, 6, e24992, 2017

  5. Axon dynamics during neocortical laminar innervation
    Authors: Randal A. Hand, Syed Khalid, Edric Tam, Alex L. Kolodkin
    Cell Reports, 12(2), 172-182, 2015

  6. Determining bruise etiology in muscle tissue using finite element analysis
    Authors: Kevin Tang, Wyatt Sharpe, Alexandra Schulz, Edric Tam, Ian Grosse, John Tis, Dennis Cullinane
    Journal of Forensic Sciences, 59(2), 371-374, 2014

Preprints

  1. SPARK: in silico simulations for benchmarking nascent RNA sequencing experiments
    Authors: Ezequiel Calvo-Roitberg, Jesse W. Lehman, Edric Tam, Shaimae Elhajjajy, Barbara E. Engelhardt, Athma A. Pai
    bioRxiv, (Submitted to Nature Methods) 2025

  2. A Distributional Evaluation of Generative Image Models
    Authors: Edric Tam, Barbara E. Engelhardt
    arXiv preprint arXiv:2501.00744 (Submitted to Annals of Applied Statistics), 2025
    arXiv

  3. On the statistical capacity of deep generative models
    Authors: Edric Tam, David B. Dunson
    arXiv preprint arXiv:2501.07763 (Under revision at Biometrika), 2025
    arXiv

  4. Spectral Gap Regularization of Neural Networks
    Authors: Edric Tam, David Dunson
    arXiv preprint arXiv:2304.03096 (Revision at JMLR) (Full version of “Fiedler Regularization: Learning Neural Networks with Graph Sparsity”), 2023
    arXiv

  5. Multiscale Graph Comparison via the Embedded Laplacian Discrepancy
    Authors: Edric Tam, David Dunson
    arXiv preprint arXiv:2201.12064 (Submitted to JMLR), 2022
    arXiv

Conference Proceedings

  1. Fiedler Regularization: Learning Neural Networks with Graph Sparsity
    Authors: Edric Tam, David Dunson
    ICML 2020, (Conference version of “Spectral Gap Regularization of Neural Networks”), 2020, pages 9346-9355
    PDF | arXiv

Patents

  1. Automated and non-mydriatic fundus-perimetry camera for irreversible eye diseases
    Authors: Vikram Rajan, Michael V. Boland, Ravi Gaddipati, Connor Jacobs, John Junyeon Kim, Ivan Andreevich Kuznetsov, Daniel Levenson, Monica Rex, Edric Tam, Tony Yihan Wei
    WO Patent WO2014182769A1, 2014

For a complete and up-to-date list, please see my Google Scholar profile.