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32 Results
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Workshop
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Identification of Nonlinear Latent Hierarchical Causal Models Lingjing Kong · Biwei Huang · Feng Xie · Eric Xing · Yuejie Chi · Kun Zhang |
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Poster
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Tue 14:00 |
Solving High-Dimensional PDEs with Latent Spectral Models Haixu Wu · Tengge Hu · huakun luo · Jianmin Wang · Mingsheng Long |
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Poster
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Wed 14:00 |
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models Alexander Lin · Bahareh Tolooshams · Yves Atchade · Demba Ba |
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Workshop
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On the Identifiability of Markov Switching Models Carles Balsells Rodas · Yixin Wang · Yingzhen Li |
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Workshop
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Uncovering Latent Structure Using Random Partition Models Thomas Sutter · Alain Ryser · Joram Liebeskind · Julia Vogt |
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Workshop
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Prediction under Latent Subgroup Shifts with High-dimensional Observations William Walker · Arthur Gretton · Maneesh Sahani |
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Poster
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Thu 13:30 |
Efficient preconditioned stochastic gradient descent for estimation in latent variable models Charlotte Baey · Maud DELATTRE · Estelle Kuhn · Jean-Benoist Leger · Sarah Lemler |
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Workshop
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Neuro-Causal Factor Analysis Alex Markham · Mingyu Liu · Bryon Aragam · Liam Solus |
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Poster
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Wed 14:00 |
Deep Latent State Space Models for Time-Series Generation Linqi Zhou · Michael Poli · Winnie Xu · Stefano Massaroli · Stefano Ermon |
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Workshop
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Dimensionality Reduction as Probabilistic Inference Aditya Ravuri · Francisco Vargas · Vidhi Ramesh · Neil Lawrence |
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Poster
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Tue 14:00 |
GFlowNet-EM for Learning Compositional Latent Variable Models Edward Hu · Nikolay Malkin · Moksh Jain · Katie Everett · Alexandros Graikos · Yoshua Bengio |
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Poster
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Tue 17:00 |
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models Haohe Liu · Zehua Chen · Yi Yuan · Xinhao Mei · Xubo Liu · Danilo Mandic · Wenwu Wang · Mark D Plumbley |