Research papers
Novel TPM research submissions.
Machine Learning/CORE Unranked
TPM 2026
The Ninth Workshop on Tractable Probabilistic Models
TPM 2026 is the 9th workshop on Tractable Probabilistic Modeling, held as part of UAI 2026 in Amsterdam, focusing on probabilistic models that enable efficient and guaranteed inference for trustworthy AI. It highlights emerging connections between tensor networks, causality, neurosymbolic AI, and probabilistic programming, with an emphasis on applications in safety-critical domains such as healthcare and autonomous systems.
Key deadlines
Verified September 9, 2026Full paper
June 18, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
June 18, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Retrospective papers
Discussions on the impact, consequences, and lessons learned from classical TPM papers.
Recently accepted papers
TPM papers already accepted at top ML and AI conferences.
Research areas in scope
01
Topics of Interest
New tractable representations in logical, continuous, and hybrid domainsLearning algorithms for TPMsTheoretical and empirical analysis of TPMsConnections between TPM classesTPMs for responsible, robust, and explainable AIApproximate inference algorithms with guaranteesApplications of TPMs, with a special focus on causality and tensor networks
Policies worth checking twice
- Submissions are limited to 4 pages, excluding references and appendices, in UAI format.
- All accepted papers and reviews are publicly available via OpenReview.
- Already accepted papers may be submitted in their original format and length.
- Supplementary material may be included in the same PDF after references, at reviewers' discretion.
- Reviewing is double-blind for research and retrospective papers; single-blind for recently accepted papers.
- Authors of research and retrospective papers must refer to their prior work in the third person.
- Authors are encouraged to link to public anonymous repositories (e.g., GitHub) for code and data.
- Accepted authors are invited to submit a short video (up to 5 minutes) describing their work.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026