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Poster
Wed 2:30 A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs
Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina
Poster
Tue 2:30 Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond
Jonathan Godwin · Michael Schaarschmidt · Alexander Gaunt · Alvaro Sanchez Gonzalez · Yulia Rubanova · Petar Veličković · James Kirkpatrick · Peter Battaglia
Poster
Tue 10:30 Predicting Physics in Mesh-reduced Space with Temporal Attention
XU HAN · Han Gao · Tobias Pfaff · Jian-Xun Wang · Liping Liu
Poster
Wed 2:30 Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness
Sho Okumoto · Taiji Suzuki
Poster
Wed 18:30 Neural Networks as Kernel Learners: The Silent Alignment Effect
Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan
Poster
Mon 18:30 Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke · Gianni De Fabritiis
Poster
Mon 18:30 Automated Self-Supervised Learning for Graphs
Wei Jin · Xiaorui Liu · Xiangyu Zhao · Yao Ma · Neil Shah · Jiliang Tang
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
Thu 10:30 Query Embedding on Hyper-Relational Knowledge Graphs
Dimitrios Alivanistos · Max Berrendorf · Michael Cochez · Mikhail Galkin
Poster
Mon 2:30 Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner · Maurice Weiler
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
Mon 2:30 The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur