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Workshop
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SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton · Rodney Kroon |
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Poster
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Wed 18:30 |
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks Tianjun Zhang · Benjamin Eysenbach · Ruslan Salakhutdinov · Sergey Levine · Joseph E Gonzalez |
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Spotlight
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Tue 10:30 |
Variational methods for simulation-based inference Manuel Glöckler · Michael Deistler · Jakob Macke |
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Oral
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Tue 2:15 |
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion Kohei Miyaguchi · Takayuki Katsuki · Akira Koseki · Toshiya Iwamori |
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Workshop
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Object Representations as Fixed Points: Training Iterative Inference Algorithms with Implicit Differentiation Michael Chang · Thomas L. Griffiths · Sergey Levine |
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Poster
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Wed 10:30 |
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation Da Xu · Yuting Ye · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan |
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Poster
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Tue 2:30 |
Self-Supervised Inference in State-Space Models David Ruhe · Patrick Forré |
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Poster
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Thu 10:30 |
Unifying Likelihood-free Inference with Black-box Optimization and Beyond Dinghuai Zhang · Jie Fu · Yoshua Bengio · Aaron Courville |
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Poster
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Mon 18:30 |
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey · Saeid Naderiparizi · Frank Wood |
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Poster
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Wed 2:30 |
Deep Attentive Variational Inference Ifigeneia Apostolopoulou · Ian Char · Elan Rosenfeld · Artur Dubrawski |
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Poster
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Thu 2:30 |
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling Gianluigi Silvestri · Emily Fertig · Dave Moore · Luca Ambrogioni |
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Spotlight
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Thu 10:30 |
Unifying Likelihood-free Inference with Black-box Optimization and Beyond Dinghuai Zhang · Jie Fu · Yoshua Bengio · Aaron Courville |