ICLR

Function Spaces Without Kernels: Learning Compact Hilbert Space Representations

Su Ann Low, Quentin Rommel, Kevin S. Miller, Adam J. Thorpe, Ufuk Topcu

机构 * University of Texas at Austin（德克萨斯大学奥斯汀分校） ； Brigham Young University 纠错

Comments Submitted to ICLR 2026

Learning Greens Operators through Hierarchical Neural Networks Inspired by the Fast Multipole Method

Emilio McAllister Fognini, Marta M. Betcke, Ben T. Cox

机构 * Department of Computer Science（计算机科学系） ； University College London（伦敦大学学院） ； Department of Medical Physics and Biomedical Engineering（医学物理与生物医学工程系） 纠错

Comments Previously under review at ICLR 2025, originally submitted on the 12th of May 2025. The OpenReview page can be found at: http://openreview.net/forum?id=QHJb2Q7ONx

Understanding Optimization in Deep Learning with Central Flows

Jeremy M. Cohen, Alex Damian, Ameet Talwalkar, J. Zico Kolter, Jason D. Lee

Comments First two authors contributed equally; author order determined by coin flip. This is the full version of a paper published at ICLR 2025. We encourage readers to explore the blog version of this paper, with animated optimization trajectories, at https://centralflows.github.io. Our code can be found at https://github.com/centralflows/centralflows