Selected Recent Publications

2026

  1. ProbML
    Diffusion-driven state space models
    Jack Ruder and Michael Wojnowicz
    In Symposium on Probabilistic Machine Learning (ProbML), 2026
    PDF

2025

  1. TMLR
    Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models
    Michael Wojnowicz, Kaitlin Gili, Preetish Rath, and 7 more authors
    Transactions in Machine Learning Research, 2025
    PDF

2023

  1. AABI
    Approximate inference by broadening the support of the likelihood
    Michael Wojnowicz, Martin D Buck, and Michael C Hughes
    In Fifth Symposium on Advances in Approximate Bayesian Inference, 2023
    PDF Poster

2022

  1. ICML
    Easy Variational Inference for Categorical Models via an Independent Binary Approximation
    Michael Wojnowicz, Shuchin Aeron, Eric L Miller, and 1 more author
    In International Conference on Machine Learning, 2022
    PDF Poster

2021

  1. UAI-TPM
    Easy Variational Inference for Categorical Observations via a New View of Diagonal Orthant Probit Models
    Michael Wojnowicz, Shuchin Aeron, Eric Miller, and 1 more author
    In The 4th Workshop on Tractable Probabilistic Modeling, 2021