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Workshop
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Imperceptible Adversarial Attacks on Discrete-Time Dynamic Graph Models
Kartik Sharma · Rakshit Trivedi · Rohit Sridhar · Srijan Kumar
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Poster
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Thu 14:00
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Semi-Discrete Normalizing Flows through Differentiable Tessellation
Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel
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Workshop
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Sat 6:30
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Spotlight: Imperceptible Adversarial Attacks on Discrete-Time Dynamic Graph Models
Kartik Sharma · Rakshit Trivedi · Rohit Sridhar · Srijan Kumar
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Poster
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Wed 14:00
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Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
Shinsaku Sakaue · Taihei Oki
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Poster
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Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Xuanyuan Luo · Bei Luo · Jian Li
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Poster
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Wed 14:00
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Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Samuel Daulton · Xingchen Wan · David Eriksson · Maximilian Balandat · Michael A Osborne · Eytan Bakshy
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Poster
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Thu 14:00
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Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Zhenlin Xu · Marc Niethammer · Colin Raffel
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Poster
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Tue 14:00
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Ordered Subgraph Aggregation Networks
Chendi Qian · Gaurav Rattan · Floris Geerts · Mathias Niepert · Christopher Morris
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Poster
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Wed 9:00
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Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Michael Sander · Pierre Ablin · Gabriel Peyré
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Poster
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Tue 9:00
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Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
Samarth Gupta · Saurabh Amin
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Poster
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Thu 9:00
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UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
Alexander Kolesnikov · André Susano Pinto · Lucas Beyer · Xiaohua Zhai · Jeremiah Harmsen · Neil Houlsby
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Poster
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Thu 9:00
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Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
Haoran Sun · Hanjun Dai · Dale Schuurmans
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