hessian.AI @ UAI

papers in the register

1. Scaling Probabilistic Circuits via Data Partitioning.
   UAI · 2025
2. χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
   UAI · 2024
3. Pix2Code: Learning to Compose Neural Visual Concepts as Programs.
   UAI · 2024
4. Probabilistic circuits that know what they don't know.
   UAI · 2023
5. Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference.
   UAI · 2023
6. Predictive Whittle networks for time series.
   UAI · 2022
7. Leveraging probabilistic circuits for nonparametric multi-output regression.
   UAI · 2021
8. Bayesian Online Prediction of Change Points.
   UAI · 2020
9. Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.
   UAI · 2019
10. Equitable Partitions of Concave Free Energies.
    UAI · 2015
11. Parameterizing the Distance Distribution of Undirected Networks.
    UAI · 2015
12. Lifted Message Passing as Reparametrization of Graphical Models.
    UAI · 2014
13. Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants.
    UAI · 2012
14. Counting Belief Propagation.
    UAI · 2009
15. Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks.
    UAI · 2009
16. "Say EM" for Selecting Probabilistic Models for Logical Sequences.
    UAI · 2005

Venues from DBLP. Active register papers only. Corrections or removal · aisr@hessian.ai