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Workshop
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Structured Neural Networks for Density Estimation
Asic Chen · Ruian Shi · Xiang Gao · Ricardo Baptista · Rahul G. Krishnan
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Workshop
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BatchGFN: Generative Flow Networks for Batch Active Learning
Shreshth Malik · Salem Lahlou · Andrew Jesson · Moksh Jain · Nikolay Malkin · Tristan Deleu · Yoshua Bengio · Yarin Gal
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Workshop
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Kernel Mirror Prox and RKHS Gradient Flow for Mixed Functional Nash Equilibrium
Pavel Dvurechenskii · Jia-Jie Zhu
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Workshop
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Improving Training of Likelihood-based Generative Models with Gaussian Homotopy
Ba-Hien Tran · Giulio Franzese · Pietro Michiardi · Maurizio Filippone
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Workshop
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OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning
Rim Assouel · Pau Rodriguez · Perouz Taslakian · David Vazquez · Yoshua Bengio
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Workshop
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Anomaly Detection in Networks via Score-Based Generative Models
Dmitrii Gavrilev · Evgeny Burnaev
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Poster
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Tue 17:00
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Directed Chain Generative Adversarial Networks
Ming Min · Ruimeng Hu · Tomoyuki Ichiba
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Poster
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Wed 14:00
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Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
Naoki Sato · Hideaki Iiduka
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Workshop
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Generating Global Factual and Counterfactual Explainer for Molecule under Domain Constraints
Danqing Wang · Antonis Antoniades · Ambuj Singh · Lei Li
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Workshop
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Fri 13:20
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Tunable Dual-Objective GANs for Stable Training
Monica Welfert · Kyle Otstot · Gowtham Kurri · Lalitha Sankar
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Poster
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Tue 17:00
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Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
Itai Kreisler · Mor Shpigel Nacson · Daniel Soudry · Yair Carmon
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Affinity Workshop
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Mon 17:40
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Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification
Vinicius L S Silva · Claire Heaney · Christopher Pain
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