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Poster
Fri 11:00 On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
Paolo Pellizzoni · Till Hendrik Schulz · Dexiong Chen · Karsten Borgwardt
Poster
Wed 16:30 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
Zhoutong Wu · Yimu Zhang · Cong Fang · Zhouchen Lin
Poster
Wed 11:00 RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation
Changli Wu · qi chen · Jiayi Ji · Haowei Wang · Yiwei Ma · You Huang · Gen Luo · Hao Fei · Xiaoshuai Sun · Rongrong Ji
Poster
Thu 16:30 Easy Regional Contrastive Learning of Expressive Fashion Representations
Daiqing Qi · Handong Zhao · Sheng Li
Poster
Wed 11:00 SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
Aditya Desai · Kimia Saedi · Apoorv Walia · Jihyeong Lee · Keren Zhou · Anshumali Shrivastava
Poster
Thu 16:30 The Expressive Capacity of State Space Models: A Formal Language Perspective
Yash Sarrof · Yana Veitsman · Michael Hahn
Workshop
Towards Principled Graph Transformers
Luis Müller · Daniel Kusuma · Blai Bonet · Christopher Morris
Workshop
Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
Yam Eitan · Yoav Gelberg · Guy Bar-Shalom · Fabrizio Frasca · Michael Bronstein · Haggai Maron
Workshop
Sun 16:30 Is Expressivity Essential for the Predictive Performance of Graph Neural Networks?
Fabian Jogl · Pascal Welke · Thomas Gärtner
Workshop
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
Will Merrill · Ashish Sabharwal
Workshop
Transformers are Efficient Compilers, Provably
Xiyu Zhai · Runlong Zhou · Liao Zhang · Simon Du
Workshop
Scaling Dense Representations for Single Cell Gene Expression with Transcriptome-Scale Context
Nicholas Ho · Caleb Ellington · Jinyu Hou · Sohan Addagudi · Shentong Mo · Tianhua Tao · Yonghao Zhuang · Hongyi Wang · Xingyi Cheng · Eric Xing · Le Song