Accepted Papers

You can see all accepted papers on OpenReview as well.

• Neural Probabilistic Circuits: An Overview
  Weixin Chen, Simon Yu, Huajie Shao, Lui Sha, Han Zhao
• Autoencoding Probabilistic Circuits (Poster Session II)
  Steven Braun, Sahil Sidheekh, Sriraam Natarajan, Antonio Vergari, Martin Mundt, Kristian Kersting
• Distillation of a tractable model from the VQ-VAE (Poster Session II)
  Armin Hadžić, Milan Papez, Tomáš Pevný
• Counterfactual Sum-Product Networks (Poster Session II)
  Florian Peter Busch, Moritz Willig, Matej Zečević, Kristian Kersting, Devendra Singh Dhami
• Scaling Probabilistic Circuits via Data Partitioning (Poster Session I)
  Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
• A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics (Poster Session II)
  Lennert De Smet, Pedro Zuidberg Dos Martires
• Copula Diffusion Modelling Under Marginal Constraints (Poster Session II)
  Laura Battaglia, Tyler Farghly, Stefano Cortinovis, Daniel de Vassimon Manela, Amitis Shidani, Christopher Williams
• Bitblasting for Tractable Constrained Decorrelation in Image Modeling (Poster Session I)
  Poorva Garg, Benjie Wang, Oliver Broadrick, Guy Van den Broeck, Todd Millstein
• On Equivariant Model Selection through the Lens of Uncertainty (Poster Session I)
  Putri A Van der Linden, Alexander Timans, Dharmesh Tailor, Erik J Bekkers
• Deep Polynomial Chaos Expansion (Poster Session II)
  Johannes Exenberger, Sascha Ranftl, Robert Peharz
• Integrating Constraints via Probabilistic Circuits (Poster Session II)
  Soroush Ghandi, Benjamin Quost, Cassio de Campos
• DeCaFlow: A Deconfounding Causal Generative Model (Poster Session I)
  Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera
• Computing Tractable Probabilistic Models: A Hardware Perspective
  Martin Andraud, Lingyun Yao, Karthekeyan Periasamy, Jelin Leslin, Martin Trapp
• Rethinking Probabilistic Circuit Parameter Learning (Poster Session II)
  Anji Liu, Guy Van den Broeck
• Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers (Poster Session I)
  Daniil Sherki, Ivan Oseledets, Ekaterina Muravleva
• On the Relationship between And-Sum Circuits and Deterministic Boolean Circuits (Poster Session I)
  Jonas Rodrigues Lima Goncalves, Denis Mauá
• Effective Diffusion-free Score Matching for Exact Conditional Sampling
  Thomas Wedenig, Robert Peharz
• A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction (Poster Session II)
  Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari
• A Quantum Information Theoretic Approach to Tractable Probabilistic Models (Poster Session I)
  Pedro Zuidberg Dos Martires
• Sparse Probabilistic Graph Circuits (Poster Session I)
  Martin Rektoris, Milan Papez, Vaclav Smidl, Tomáš Pevný
• Statistically Robust Sparse High-order Interaction Model (Poster Session I)
  Diptesh Das, Ichiro Takeuchi, Koji Tsuda
• On the Hardness of Approximating Distributions with Probabilistic Circuits (Poster Session II)
  John Leland, YooJung Choi
• Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs (Poster Session I)
  Milan Papez, Martin Rektoris, Vaclav Smidl, Tomáš Pevný
• Approximate Bayesian Inference via Bitstring Representations (Poster Session I)
  Aleksanteri Sladek, Martin Trapp, Arno Solin
• KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI (Poster Session II)
  Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires