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Poster
Wed 14:00 Class-Aware Adversarial Transformers for Medical Image Segmentation
Chenyu You · Ruihan Zhao · Fenglin Liu · Siyuan Dong · Sandeep Chinchali · Ufuk Topcu · Lawrence Staib · James Duncan
Poster
Tue 9:00 Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang · Xiaotian Cheng · Chang Liu · Hakan Bilen · Xiangyang Ji
Poster
[Re] Reproducibility Study of “Counterfactual Generative Networks”
Piyush Bagad · Paul Hilders · Jesse Maas · Danilo de Goede
Workshop
Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns
Xinyu Liang · Hao Wang
Workshop
Recovering Galaxy Cluster Convergence from Lensed CMB with Generative Adversarial Networks
Liam Parker · Dongwon Han · Shirley Ho · Pablo Lemos
Workshop
Invertible Neural Networks for Graph Prediction
Chen Xu · Xiuyuan Cheng · Yao Xie
Poster
Thu 9:00 Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
Poster
Wed 9:00 Improving GANs with A Dynamic Discriminator
Ceyuan Yang · Yujun Shen · Yinghao Xu · Deli Zhao · Bo Dai · Bolei Zhou
Poster
Tue 9:00 C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
Shane Bergsma · Tim Zeyl · Javad Rahimipour Anaraki · Lei Guo
Workshop
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas
Poster
Thu 9:00 Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
Ali Seyfi · Jean-Francois Rajotte · Raymond Ng
Poster
Generalized One-shot Domain Adaptation of Generative Adversarial Networks
Zicheng Zhang · Yinglu Liu · Congying Han · Tiande Guo · Ting Yao · Tao Mei