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Poster
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Tue 9:00
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Cluster Randomized Designs for One-Sided Bipartite Experiments
Jennifer Brennan · Vahab Mirrokni · Jean Pouget-Abadie
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Poster
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On the relationship between variational inference and auto-associative memory
Louis Annabi · Alexandre Pitti · Mathias Quoy
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Workshop
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antGLasso: An Efficient Tensor Graphical Lasso Algorithm
Bailey Andrew · David Westhead · Luisa Cutillo
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Poster
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Tue 14:00
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DataMUX: Data Multiplexing for Neural Networks
Vishvak Murahari · Carlos Jimenez · Runzhe Yang · Karthik Narasimhan
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Poster
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Thu 9:00
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Iterative Structural Inference of Directed Graphs
Aoran Wang · Jun Pang
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Poster
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Tue 9:00
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Natural gradient enables fast sampling in spiking neural networks
Paul Masset · Jacob Zavatone-Veth · J. Patrick Connor · Venkatesh Murthy · Cengiz Pehlevan
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Poster
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Wed 14:00
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Introspective Learning : A Two-Stage approach for Inference in Neural Networks
Mohit Prabhushankar · Ghassan AlRegib
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Poster
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Thu 14:00
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Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
Mayleen Cortez · Matthew Eichhorn · Christina Yu
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Poster
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Thu 14:00
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Geodesic Graph Neural Network for Efficient Graph Representation Learning
Lecheng Kong · Yixin Chen · Muhan Zhang
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Workshop
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pyGSL: A Graph Structure Learning Toolkit
Max Wasserman · Gonzalo Mateos
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Poster
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Tue 9:00
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Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy · Shogo Iwazaki · Ichiro Takeuchi
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