Published and Accepted Work

  1. On the Statistical Capacity of Deep Generative Models
    Authors: Edric Tam, David B. Dunson
    Biometrika (Accepted Pending Minor Revision), 2025
    arXiv

  2. Exact Sampling of Spanning Trees via Fast-Forwarded Random Walks
    Authors: Edric Tam, David B. Dunson, Leo L. Duan
    Biometrika, asaf031, 2025
    Journal | arXiv

  3. Fiedler Regularization: Learning Neural Networks with Graph Sparsity
    Authors: Edric Tam, David Dunson
    International Conference on Machine Learning (ICML), PMLR 119, 9346-9355, 2020
    PDF | arXiv

  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
    Note: Responsible for computational/statistical modeling in this wet-lab collaboration.

  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
    Note: Responsible for computational/statistical modeling in this wet-lab collaboration.

  6. 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

  7. 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

  8. 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

Work under Revision

  1. Assessing the Distributional Fidelity of Synthetic Chest X-Rays Using the Embedded Characteristic Score
    Authors: Edric Tam, Barbara E. Engelhardt
    Annals of Applied Statistics (Resubmission Invited), 2026
    arXiv

  2. Spectral Gap Regularization of Neural Networks
    Authors: Edric Tam, David Dunson
    Journal of Machine Learning Research (Revision Submitted), 2023. Journal extension of the Fiedler Regularization ICML paper.
    arXiv

  3. Proteomic Stratification of Fontan Patients: Linking Plasma Proteins to Multisystem Complications
    Authors: Sushrima Gan, Jennifer Woo, Ankit Kushwaha, Edric Tam, Manisha Ummadi, Laura Mercer-Rosa, Barbara Engelhardt, Jennifer Van Eyk, Yann Le Guen, Sushma Reddy
    Canadian Journal of Cardiology (In Revision), 2026

Preprints and Submitted Manuscripts

  1. Compartment-Driven Gaussian Processes for Uncertainty Quantification of Pharmacokinetic Exposures
    Authors: Sanjay Palta-Hill, Barbara Engelhardt, Edric Tam
    Submitted to Journal of the American Statistical Association (Applications and Case Studies), 2026
    Note: First author is my MS mentee. I am corresponding author.

  2. Directional Distributional Evaluation of Language Models Along Semantic Axes
    Authors: Edric Tam
    Under ARR Review for NAACL, 2026

  3. Multiscale Graph Comparison via the Embedded Laplacian Discrepancy
    Authors: Edric Tam, David Dunson
    arXiv preprint arXiv:2201.12064, 2022
    arXiv

  4. Metropolis Matching for Normalizing Flows
    Authors: Edric Tam
    Under Review at AISTATS, 2026

  5. Intrinsic Gradient Barriers in Pushforward Deep Generative Models
    Authors: Edric Tam, Qingyang Liu, Barbara E. Engelhardt, Ray Bai
    Submitted, 2026

  6. 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
    Note: Responsible for statistical modeling of edge effects in this wet-lab collaboration.

Patent Applications

  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 Application WO2014182769A1, 2014

Working Papers

All papers to be submitted within coming weeks.

  • Randomization Posteriors
    Authors: Edric Tam
  • Blindspots of Posterior Predictive Checks
    Authors: Edric Tam, Adway Wadekar
  • Latent Monte Carlo Variance Reduction
    Authors: Edric Tam

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