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Poster
Fri 16:30 Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
Gennaro Gala · Cassio de Campos · Antonio Vergari · Erik Quaeghebeur
Poster
Fri 11:00 BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright · Christian Igel · Raghavendra Selvan
Workshop
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
Workshop
Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
Poster
Fri 16:30 A Compositional Atlas for Algebraic Circuits
Benjie Wang · Denis Mauá · Guy Van den Broeck · YooJung Choi
Workshop
Probabilistic Forecasting for Building Energy Systems: Are Time-Series Foundation Models the Answer?
Young-Jin Park · François Germain · Jing Liu · Ye Wang · Gordon Wichern · Toshiaki Koike-Akino · Navid Azizan · Christopher Laughman · Ankush Chakrabarty
Workshop
Sat 9:00 Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design
Alexander Terenin · Natalie Maus · Renato Berlinghieri · Zi Wang
Poster
Wed 11:00 Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
Zeyue Zhang · Xiaoling LU · Feng Zhou
Workshop
Evidential deep learning for probabilistic modelling of extreme storm events
Ayush Khot · Xihaier Luo · Ai Kagawa · Shinjae Yoo
Poster
Thu 16:30 Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
Daniela de Albuquerque · John Pearson
Poster
Wed 11:00 Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness
Mengxi Chen · Fei Zhang · Zihua Zhao · Jiangchao Yao · Ya Zhang · Yanfeng Wang
Poster
Thu 11:00 Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
Jinlin Lai · Justin Domke · Daniel Sheldon