[Deadline Extended] TPM @ UAI 2025: Deadline extended to June 2nd
TPM 2025
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The 8th Workshop on Tractable Probabilistic Modeling at UAI 2025
July 25th, 2025 @ Rio de Janeiro, Brazil
https://tractable-probabilistic-modeling.github.io/tpm2025/
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Dear All,
We are excited to extend the submission deadline to June 2nd for the UAI 2025 Workshop on Tractable Probabilistic Modeling: From Logic to Probabilities and Back to be held in Rio de Janeiro, Brazil, on July 25th, 2025.
We would like to recall that we have a track for recently-accepted papers to be presented at TPM!
Important Dates
- Submission Deadline (Extended): June 2nd, 2025 AoE
- Expected Notification of Acceptance: June 18th, 2025 AoE
- Workshop Date: July 25th, 2025
Overview
Deploying AI and ML systems to assist decision-making in real-world and safety-critical scenarios, requires different forms of complex reasoning under uncertainty. These scenarios include applications in healthcare and finance, as well as when certifying the fairness, robustness and privacy of ML systems. In all these cases, reasoning needs to be reliable and efficient and flexible enough to deal with constraints and background knowledge. The now consolidated field of tractable probabilistic models (TPMs) offers a very appealing approach as TPMs allow for exact inference or come with approximation guarantees, thus providing reliability while still allowing for efficient reasoning for a wide range of tasks, by design.
Furthermore, many TPMs provide a natural way to represent logical constraints and principled ways to incorporate them into larger ML systems. The spectrum of TPMs consists of a wide variety of techniques including models with tractable likelihoods (e.g., normalizing flows and autoregressive models), tractable marginals (e.g., bounded-treewidth models and determinantal point processes), and more complex tractable reasoning tasks (e.g., probabilistic and logic circuits, tensor networks and tensor factorizations).
This new edition of the Tractable Probabilistic Modeling workshop focuses on scaling and providing guarantees when used for probabilistic and logical reasoning, e.g., in neuro-symbolic AI where agents have to model both calibrated uncertainties and satisfy given background knowledge while being efficient. We also welcome contributions around the TPM spectrum that consider only one of the two aspects, and hope to bring the two communities together to advance their respective fields.
Topics of interest
Topics of interest include, but are not limited to:
- New tractable representations in logical, continuous, and hybrid domains
- Learning algorithms for TPMs
- Theoretical and empirical analysis of TPMs
- Connections between TPM classes
- TPMs for responsible, robust, and explainable AI
- Approximate inference algorithms with guarantees
- Successful applications of TPMs to real-world problems, with a special focus on NeSy AI
Submission Instructions
Original papers and retrospective papers are required to follow the style guidelines of UAI. Submitted papers should be up to 4 pages long, excluding references. Already accepted papers can be submitted in the format of the venue they have been accepted to. Supplementary material can be put in the same pdf paper (after references); it is entirely up to the reviewers to decide whether they wish to consult this additional material.
All submissions must be electronic (through the link below), and must closely follow the formatting guidelines in the templates, otherwise, they will automatically be rejected. Reviewing for TPM is double-blind; i.e., the identity of the authors is not revealed to the reviewers and vice versa. Therefore, you should refer to your prior work in the third person. We encourage links to public anonymous repositories such as GitHub to share code and/or data.
For any questions, please contact us at: tpmwork...@gmail.com
Submission Link: https://openreview.net/group?id=auai.org/UAI/2025/Workshop/TPM
We would greatly appreciate it if you could share this call with colleagues and researchers who might be interested in contributing.
Best Regards,
Organizers
Adrián Javaloy (University of Edinburgh, UK)
Poorva Garg (University of California, Los Angeles, USA)
Christoph Staudt (Friedrich Schiller University Jena, Germany)
John Leland (Arizona State University, USA)
Lennert De Smet (KU Leuven, Belgium)
Lingyun Yao (Aalto University, Finland)
Zhe Zeng (New York University, USA)
Antonio Vergari (University of Edinburgh, UK)