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Poster
Wed 9:00 Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
Mingjie Li · Lingshen He · Zhouchen Lin
Poster
Tue 10:00 Harmonic Decompositions of Convolutional Networks
Meyer Scetbon · Zaid Harchaoui
Poster
Tue 10:00 Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi · Samuel Stanton · Pavel Izmailov · Andrew Wilson
Poster
Thu 14:00 Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng · Roman Bachmann · Mohammad Emtiyaz Khan
Poster
Thu 7:00 Lorentz Group Equivariant Neural Network for Particle Physics
Alexander Bogatskiy · Brandon Anderson · Jan T Offermann · Marwah Roussi · David Miller · Risi Kondor
Poster
Tue 8:00 Neural Clustering Processes
Ari Pakman · Yueqi Wang · Catalin Mitelut · JinHyung Lee · Department of Statistics Liam Paninski
Poster
Tue 7:00 Variational Bayesian Quantization
Yibo Yang · Robert Bamler · Stephan Mandt
Poster
Thu 6:00 Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon · Abdulkadir Canatar · Cengiz Pehlevan
Poster
Tue 12:00 Multi-step Greedy Reinforcement Learning Algorithms
Manan Tomar · Yonathan Efroni · Mohammad Ghavamzadeh
Poster
Thu 7:00 On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao · Yulai Cong · Lawrence Carin
Poster
Thu 6:00 Scalable Differentiable Physics for Learning and Control
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue 7:00 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
Yonggan Fu · Wuyang Chen · Haotao Wang · Haoran Li · Yingyan Lin · Zhangyang “Atlas” Wang