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Affinity Event
Neural Machine Translators (NMTs) as Efficient Forward and Backward Arabic Transliterators
Toyib Ogunremi · Anthony Soronnadi · Olamide Shogbamu · Olubayo Adekanmbi
Workshop
Toward Understanding How the Data Affects Neural Collapse: A Kernel-Based Approach
Vignesh Kothapalli · Tom Tirer
Poster
Wed 16:30 Collaboration! Towards Robust Neural Methods for Routing Problems
Jianan Zhou · Yaoxin Wu · Zhiguang Cao · Wen Song · Jie Zhang · Zhiqi Shen
Workshop
Benchmarking neural lossless compression algorithms on multi-purpose astronomical image data
Tuan Truong · Rithwik Sudharsan · Yibo Yang · Peter Xiangyuan · Ruihan Yang · Stephan Mandt · Joshua Bloom
Poster
Thu 16:30 Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
Hanyang Yuan · Jiarong Xu · Renhong Huang · Mingli Song · Chunping Wang · YANG YANG
Poster
Wed 16:30 HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning
Yancheng Zhang · Mengxin Zheng · Yuzhang Shang · Xun Chen · Qian Lou
Workshop
Sparsely Connected Layers for Financial Tabular Data
Mohammed Abdulrahman · Yin Wang · Hui Chen
Workshop
Video decoding from human fMRI data with a multi-stream sensory approach
Matteo Ferrante · Matteo Ciferri · Nicola Toschi
Workshop
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
Julia Balla · Siddharth Mishra-Sharma · Carolina Cuesta · Tommi Jaakkola · Tess Smidt
Poster
Thu 16:30 Extracting Training Data from Molecular Pre-trained Models
Renhong Huang · Jiarong Xu · Zhiming Yang · Xiang Si · Xin Jiang · Hanyang Yuan · Chunping Wang · YANG YANG
Poster
Fri 16:30 On the Power of Small-size Graph Neural Networks for Linear Programming
Qian Li · Tian Ding · Linxin Yang · Minghui Ouyang · Qingjiang Shi · Ruoyu Sun
Workshop
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network
Yuxuan Gu · Catherine Spurin · Gege Wen