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42 Results

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Poster
Wed 15:00 Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
Junru Zhou · Jiarui Feng · Xiyuan Wang · Muhan Zhang
Workshop
Using Deep Feature Distances for Evaluating MR Image Reconstruction Quality
Philip M. Adamson · Arjun Desai · Jeffrey Dominic · Christian Bluethgen · Jeff Wood · Ali Syed · Robert Boutin · Kathryn Stevens · Shreyas Vasanawala · John Pauly · Akshay Chaudhari · Beliz Gunel
Poster
Wed 8:45 Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
Nikhil Vyas · Alexander Atanasov · Blake Bordelon · Depen Morwani · Sabarish Sainathan · Cengiz Pehlevan
Poster
Thu 15:00 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles
Ben Ruben · Cengiz Pehlevan
Workshop
UMD-fit: Generating Realistic Ligand Conformations for Distance-Based Deep Docking Models
Eric Alcaide · Ziyao Li · Hang Zheng · Zhifeng Gao · Guolin Ke
Workshop
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks
Benjamin Feuer · Niv Cohen · Chinmay Hegde
Poster
Thu 15:00 Self-Supervised Reinforcement Learning that Transfers using Random Features
Boyuan Chen · Chuning Zhu · Pulkit Agrawal · Kaiqing Zhang · Abhishek Gupta
Poster
Wed 15:00 NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries
Qijian Zhang · Junhui Hou · Yohanes Adikusuma · Wenping Wang · Ying He
Poster
Tue 8:45 Learning Curves for Deep Structured Gaussian Feature Models
Jacob Zavatone-Veth · Cengiz Pehlevan
Poster
Thu 15:00 What can a Single Attention Layer Learn? A Study Through the Random Features Lens
Hengyu Fu · Tianyu Guo · Yu Bai · Song Mei
Poster
Tue 8:45 Provable Guarantees for Neural Networks via Gradient Feature Learning
Zhenmei Shi · Junyi Wei · Yingyu Liang
Poster
Thu 15:00 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
Zhanpeng Zhou · Yongyi Yang · Xiaojiang Yang · Junchi Yan · Wei Hu