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Poster
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Thu 4:30
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PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis · john leth · Zheng-Hua Tan · Rafal Wisniewski · Mihaly Petreczky
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Workshop
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Hybrid Recurrent Models Support Emergent Descriptions for Hierarchical Planning and Control
Poppy Collis · Ryan Singh · Paul Kinghorn · Christopher Buckley
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Poster
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Thu 4:30
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How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto Tomasini · Matthieu Wyart
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Poster
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Tue 4:30
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Simulation-Based Inference with Quantile Regression
He Jia
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Workshop
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Structured Generations: Using Hierarchical Clusters to guide Diffusion Models
Jorge da Silva Gonçalves · Laura Manduchi · Moritz Vandenhirtz · Julia Vogt
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Workshop
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Sat 1:20
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Contributed: Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
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Workshop
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The Geometry of Categorical and Hierarchical Concepts in Large Language Models
Kiho Park · Yo Joong Choe · Yibo Jiang · Victor Veitch
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Poster
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Thu 4:30
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Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui · Tian Han
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Poster
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Wed 2:30
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Simultaneous identification of models and parameters of scientific simulators
Cornelius Schröder · Jakob Macke
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Workshop
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Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi · Chenyu Wang · Venkatesh Pattabiraman · Carmel Majidi · Abhinav Gupta · Tess Hellebrekers · Lerrel Pinto
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Workshop
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Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi · Chenyu Wang · Venkatesh Pattabiraman · Carmel Majidi · Abhinav Gupta · Tess Hellebrekers · Lerrel Pinto
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Workshop
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Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling
Benjamin M. Boyd · Matthew Grayling · Kaisey Mandel
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