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Poster
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Wed 9:00
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Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt · Justin Bayer
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Poster
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Thu 1:00
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Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
Justin Bayer · Maximilian Soelch · Atanas Mirchev · Baris Kayalibay · Patrick van der Smagt
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Poster
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Tue 9:00
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Physics-aware, probabilistic model order reduction with guaranteed stability
Sebastian Kaltenbach · PS Koutsourelakis
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Workshop
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Fri 5:15
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Spotlight 3: James Townsend and Iain Murray, Lossless compression with state space models using bits back coding
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Poster
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Thu 17:00
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Isotropy in the Contextual Embedding Space: Clusters and Manifolds
Xingyu Cai · Jiaji Huang · Yuchen Bian · Kenneth Church
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Workshop
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Fri 15:10
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On Linear Interpolation in the Latent Space of Deep Generative Models
Mike Yan Michelis · Quentin Becker
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Poster
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Tue 17:00
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FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
Hong-You Chen · Wei-Lun Chao
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Workshop
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Fri 6:00
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Keynote 3: Ehsan Saboori. Title: Deep learning model compression using neural network design space exploration
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Poster
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Mon 17:00
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Decentralized Attribution of Generative Models
Changhoon Kim · Yi Ren · 'YZ' Yezhou Yang
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Poster
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Mon 9:00
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Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh · Sharare Zehtabian · Saeed Vahidian · Weijia Wang · Bill Lin · Ladislau Boloni
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Poster
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Thu 17:00
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Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
Yang Zhao · Jianwen Xie · Ping Li
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Poster
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Mon 17:00
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MixKD: Towards Efficient Distillation of Large-scale Language Models
Kevin Liang · Weituo Hao · Dinghan Shen · Yufan Zhou · Weizhu Chen · Changyou Chen · Lawrence Carin
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