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Poster
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Fri 11:00
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Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
Tinglin Huang · Zhenqiao Song · Rex Ying · Wengong Jin
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Poster
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Wed 11:00
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Probabilistic size-and-shape functional mixed models
Fangyi Wang · Karthik Bharath · Oksana Chkrebtii · Sebastian Kurtek
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Poster
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Fri 11:00
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Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Luckeciano Carvalho Melo · Panagiotis Tigas · Alessandro Abate · Yarin Gal
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Poster
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Wed 11:00
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Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
Zeyue Zhang · Xiaoling LU · Feng Zhou
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Workshop
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Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
Andrea Cui · Pengfei Yu
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
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Workshop
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Toward Universal and Interpretable World Models for Open-ended Learning Agents
Lancelot Da Costa
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Workshop
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The Art of Knowing When to Stop: Analysis of Optimal Stopping in People and Machines
Fukun Zhang · Bonan Zhao
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Workshop
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Probabilistic Active Few-Shot Learning in Vision-Language Models
Anton Baumann · Marcus Klasson · Rui Li · Arno Solin · Martin Trapp
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Poster
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Wed 16:30
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Generating Origin-Destination Matrices in Neural Spatial Interaction Models
Ioannis Zachos · Mark Girolami · Theodoros Damoulas
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Workshop
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Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows
Alicja Polanska · Thibeau Wouters · Peter Pang · Kaze W. K. Wong · Jason McEwen
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Workshop
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Sat 9:00
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Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design
Alexander Terenin · Natalie Maus · Renato Berlinghieri · Zi Wang
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