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Affinity Workshop
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Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models
Jean-Rassaire Fouefack
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Affinity Workshop
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Mon 8:50
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Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models.
Jean-Rassaire Fouefack
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Workshop
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Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
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Poster
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Thu 9:00
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Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates
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Poster
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Thu 9:00
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Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Peter Wang · Nan Wu · Hang Yang · Cong Hao · Pan Li
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Workshop
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Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang · Chao Huang · Yijun Tian · Qianlong Wen · Zhongyu Ouyang · Youhuan Li · Yanfang Ye · Chuxu Zhang
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Poster
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OPEN: Orthogonal Propagation with Ego-Network Modeling
Liang Yang · Lina Kang · Qiuliang Zhang · Mengzhe Li · bingxin niu · Dongxiao He · Zhen Wang · Chuan Wang · Xiaochun Cao · Yuanfang Guo
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Poster
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Tue 9:00
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UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek · Gernot Fink · Matthias Rottmann
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Poster
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Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo · Guang Tan
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Poster
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Tue 14:00
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Harmonizing the object recognition strategies of deep neural networks with humans
Thomas FEL · Ivan F Rodriguez Rodriguez · Drew Linsley · Thomas Serre
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Poster
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Thu 9:00
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Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks
Frank Nussbaum · Jakob Gawlikowski · Julia Niebling
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Poster
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Tue 9:00
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C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma · Tim Zeyl · Javad Rahimipour Anaraki · Lei Guo
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