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Workshop
Boundary between noise and information applied to filtering neural network weight matrices
Max Staats · Matthias Thamm · Bernd Rosenow
Poster
Thu 2:30 Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang · Wei Chow · Yifei Sun · Kaiqiao Han · Lvbin Ma · Yang Yang
Poster
Wed 2:30 GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa · Rebekka Burkholz
Workshop
Spectrum-Informed Initialization for Multistage Neural Networks
Jakin Ng · Yongji Wang · Ching-Yao Lai
Workshop
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
Moritz Feik · Sebastian Lerch · Jan Stuehmer
Poster
Tue 4:30 Slicing Mutual Information Generalization Bounds for Neural Networks
Kimia Nadjahi · Kristjan Greenewald · Rickard Gabrielsson · Justin Solomon
Workshop
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
Kazusato Oko · Denny Wu · Jason Lee · Taiji Suzuki
Workshop
Fri 1:55 Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
Moritz Feik · Sebastian Lerch · Jan Stuehmer
Poster
Tue 2:30 Robust Stable Spiking Neural Networks
Ding Jianhao · Zhiyu Pan · Yujia Liu · Zhaofei Yu · Tiejun Huang
Poster
Thu 4:30 LLaGA: Large Language and Graph Assistant
Runjin Chen · Tong Zhao · Ajay Jaiswal · Neil Shah · Zhangyang “Atlas” Wang
Poster
Wed 2:30 Graph Attention Retrospective
Kimon Fountoulakis · Amit Levi · Shenghao Yang · Aseem Baranwal · Aukosh Jagannath
Poster
Wed 4:30 How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
Gon Buzaglo · Itamar Harel · Mor Shpigel Nacson · Alon Brutzkus · Nati Srebro · Daniel Soudry