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Workshop
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Trajectory Generation, Control, and Safety with Denoising Diffusion Probabilistic Models
Nicolò Botteghi · Federico Califano · University Twente · Christoph Brune
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Workshop
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Sat 12:35
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Shared Stochastic Gaussian process Decoders: A Probabilistic Generative model for Quasar Spectra
Vidhi Ramesh · Anna-Christina Eilers
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Poster
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Wed 17:00
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Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
Xuejie Liu · Anji Liu · Guy Van den Broeck · Yitao Liang
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Affinity Workshop
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Mon 14:40
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Visual Storytelling with Generative Models of Video
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Workshop
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Fri 14:30
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Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models
Max-Lion Schumacher · Marco Huber
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
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Workshop
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Constrained Sampling of Discrete Geometric Manifolds using Denoising Diffusion Probabilistic Models
Justin Diamond · Markus Lill
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Workshop
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Fri 12:00
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Structured Probabilistic Inference and Generative Modeling
Dinghuai Zhang · Yuanqi Du · Chenlin Meng · Shawn Tan · Yingzhen Li · Max Welling · Yoshua Bengio
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
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Workshop
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Collapsed Inference for Bayesian Deep Learning
Zhe Zeng · Guy Van den Broeck
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Poster
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Wed 14:00
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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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Fri 18:30
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Generative Marginalization Models
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