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Poster
Mon 2:30 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur
Poster
Tue 10:30 Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt · Martin Schuessler · Oana-Iuliana Popescu · Philipp Weiß · Tim Landgraf
Oral
Tue 1:30 Learning Strides in Convolutional Neural Networks
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Poster
Tue 10:30 Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking
Octavian Ganea · xinyuan huang · Charlotte Bunne · Yatao Bian · Regina Barzilay · Tommi Jaakkola · Andreas Krause
Poster
Wed 10:30 Consistent Counterfactuals for Deep Models
Emily Black · Zifan Wang · Matt Fredrikson
Poster
Wed 2:30 Implicit Bias of Adversarial Training for Deep Neural Networks
Bochen Lyu · Zhanxing Zhu
Poster
Thu 2:30 Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
Ziming Wang · Nan Xue · Ling Lei · Gui-Song Xia
Poster
Wed 2:30 A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs
Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina
Poster
Wed 18:30 Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan
Poster
Mon 18:30 Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Jiefeng Chen · Xi Wu · Yang Guo · Yingyu Liang · Somesh Jha
Poster
Tue 18:30 Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
Hyunwook Lee · Seungmin Jin · Hyeshin Chu · Hongkyu Lim · Sungahn Ko
Spotlight
Tue 2:30 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks
Marten Lienen · Stephan Günnemann