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Workshop
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An Advanced Physics-Informed Neural Operator for Comprehensive Design Optimization of Highly-Nonlinear Systems: An Aerospace Composites Processing Case Study
Milad Ramezankhani · Anirudh Deodhar · Rishi Parekh · Dagnachew Birru
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Oral
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Tue 7:45
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Robustness of Nonlinear Representation Learning
Simon Buchholz · Bernhard Schölkopf
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Poster
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Thu 4:30
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A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples
Ben Adcock · Juan Cardenas · Nick Dexter
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Poster
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Tue 4:30
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Robustness of Nonlinear Representation Learning
Simon Buchholz · Bernhard Schölkopf
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Poster
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Wed 4:30
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Nonlinear Filtering with Brenier Optimal Transport Maps
Mohammad Al-Jarrah · Niyizhen Jin · Bamdad Hosseini · Amirhossein Taghvaei
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Poster
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Tue 4:30
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Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Juno Kim · Taiji Suzuki
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Poster
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Tue 2:30
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Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler · Aleksandr Shevchenko · Hamed Hassani · Marco Mondelli
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Poster
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Thu 4:30
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Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference
Fabing Li · Yuanhao Zhai · Shuangyu Cai · Mingyu Gao
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Poster
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Tue 2:30
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A fast algorithm to simulate nonlinear resistive networks
Benjamin Scellier
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Poster
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Tue 4:30
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How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
Hongkang Li · Meng Wang · Songtao Lu · Xiaodong Cui · Pin-Yu Chen
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Poster
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Wed 4:30
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On the Nonlinearity of Layer Normalization
Yunhao Ni · Yuxin Guo · Junlong Jia · Lei Huang
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Poster
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Tue 2:30
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DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
Ashwin Hebbar · Sravan Kumar Ankireddy · Hyeji Kim · Sewoong Oh · Pramod Viswanath
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