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Poster
Thu 9:00 Power and limitations of single-qubit native quantum neural networks
Zhan Yu · Hongshun Yao · Mujin Li · Xin Wang
Poster
Tue 14:00 Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen
Poster
Thu 9:00 How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng · Yixin Chen · Fuhai Li · Anindya Sarkar · Muhan Zhang
Poster
Tue 14:00 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
Myong Chol Jung · He Zhao · Joanna Dipnall · Belinda Gabbe · Lan Du
Poster
Thu 9:00 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li · Jikai Jin · Han Zhong · John Hopcroft · Liwei Wang
Poster
Tue 9:00 Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
Shen-Huan Lyu · Yi-Xiao He · Zhi-Hua Zhou
Poster
Thu 9:00 Theoretically Provable Spiking Neural Networks
Shao-Qun Zhang · Zhi-Hua Zhou
Poster
Tue 9:00 Truncated Matrix Power Iteration for Differentiable DAG Learning
Zhen Zhang · Ignavier Ng · Dong Gong · Yuhang Liu · Ehsan Abbasnejad · Mingming Gong · Kun Zhang · Javen Qinfeng Shi
Poster
Wed 9:00 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
Bohang Zhang · Du Jiang · Di He · Liwei Wang
Poster
Wed 9:00 Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek · Michael Galkin · Vijay Prakash Dwivedi · Anh Tuan Luu · Guy Wolf · Dominique Beaini
Poster
Thu 9:00 Parametrically Retargetable Decision-Makers Tend To Seek Power
Alex Turner · Prasad Tadepalli
Poster
Tue 14:00 FP8 Quantization: The Power of the Exponent
Andrey Kuzmin · Mart van Baalen · Yuwei Ren · Markus Nagel · Jorn Peters · Tijmen Blankevoort