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198 Results
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Poster
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Tue 10:30 |
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks Maximilian Seitzer · Arash Tavakoli · Dimitrije Antic · Georg Martius |
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Poster
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Wed 10:30 |
Space-Time Graph Neural Networks Samar Hadou · Charilaos Kanatsoulis · Alejandro Ribeiro |
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Poster
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Mon 2:30 |
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur |
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Poster
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Wed 2:30 |
Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness Sho Okumoto · Taiji Suzuki |
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Poster
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Wed 2:30 |
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs Ido Nachum · Jan Hązła · Michael Gastpar · Anatoly Khina |
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Poster
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Wed 18:30 |
Neural Networks as Kernel Learners: The Silent Alignment Effect Alexander Atanasov · Blake Bordelon · Cengiz Pehlevan |
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Poster
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Mon 18:30 |
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen · Xi Wu · Yang Guo · Yingyu Liang · Somesh Jha |
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Poster
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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 |
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Poster
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Thu 18:30 |
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong · Yuguang Yao · Yize Li · Yimeng Zhang · Xiaoming Liu · Xue Lin · Sijia Liu |
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Poster
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Wed 2:30 |
Implicit Bias of Adversarial Training for Deep Neural Networks Bochen Lyu · Zhanxing Zhu |
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Oral
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Tue 1:00 |
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping · Francesco Di Giovanni · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein |
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Poster
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Tue 10:30 |
Granger causal inference on DAGs identifies genomic loci regulating transcription Alexander Wu · Rohit Singh · Bonnie Berger |