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Poster
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Thu 16:30
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Direct Parameterization of Lipschitz-Bounded Deep Networks
Ruigang Wang · Ian Manchester
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Poster
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Tue 17:00
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Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations
Zifan Song · Xiao Gong · Guosheng Hu · Cairong Zhao
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Workshop
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Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks
Stephen Gould · Ming Xu · Zhiwei Xu · Yanbin Liu
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Poster
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Wed 17:00
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Maximal Initial Learning Rates in Deep ReLU Networks
Gaurav Iyer · Boris Hanin · David Rolnick
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Workshop
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Deep Equilibrium Based Neural Operators for Steady-State PDEs
Tanya Marwah · Ashwini Pokle · Zico Kolter · Zachary Lipton · Jianfeng Lu · Andrej Risteski
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Poster
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Thu 16:30
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Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
Zonghan Yang · Peng Li · Tianyu Pang · Yang Liu
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Workshop
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PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems
Shunyuan Mao · Ruobing Dong · Lu Lu · Kwang Moo Yi · Sifan Wang · Paris Perdikaris
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Workshop
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How important are specialized transforms in Neural Operators?
Ritam Majumdar · Shirish Karande · Lovekesh Vig
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Oral
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Tue 21:10
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Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui · FLORENT KRZAKALA · Lenka Zdeborova
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Poster
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Thu 13:30
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Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui · FLORENT KRZAKALA · Lenka Zdeborova
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Workshop
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Deep Fusion: Efficient Network Training via Pre-trained Initializations
Hanna Mazzawi · Xavi Gonzalvo · Michael Wunder
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Workshop
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Towards Modular Learning of Deep Causal Generative Models
Md Musfiqur Rahman · Murat Kocaoglu
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