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Poster
Wed 14:00 Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto · Samuel Smith · Albert Gu · Anushan Fernando · Caglar Gulcehre · Razvan Pascanu · Soham De
Poster
Tue 17:00 Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
Florian Heinrichs · Mavin Heim · Corinna Weber
Poster
Tue 14:00 Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
Arka Daw · Jie Bu · Sifan Wang · Paris Perdikaris · Anuj Karpatne
Poster
Tue 14:00 Local Vertex Colouring Graph Neural Networks
Shouheng Li · Dongwoo Kim · Qing Wang
Poster
Wed 17:00 Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks
Yihang Gao · Yiqi Gu · Michael Ng
Poster
Tue 14:00 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
Bingqing Song · Prashant Khanduri · xinwei zhang · Jinfeng Yi · Mingyi Hong
Poster
Wed 17:00 Understanding Plasticity in Neural Networks
Clare Lyle · Zeyu Zheng · Evgenii Nikishin · Bernardo Avila Pires · Razvan Pascanu · Will Dabney
Poster
Wed 14:00 LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang · Yunhao Zhang · Ziao Guo · Tianyi Chen · Xiaokang Yang · Junchi Yan
Poster
Wed 17:00 Feature Expansion for Graph Neural Networks
Jiaqi Sun · Lin Zhang · Guangyi Chen · Peng XU · Kun Zhang · Yujiu Yang
Poster
Thu 13:30 TIPS: Topologically Important Path Sampling for Anytime Neural Networks
Guihong Li · Kartikeya Bhardwaj · Yuedong Yang · Radu Marculescu
Poster
Thu 16:30 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
Alistair Shilton · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Thu 16:30 Equivariant Polynomials for Graph Neural Networks
Omri Puny · Derek Lim · Bobak T Kiani · Haggai Maron · Yaron Lipman