|
Workshop
|
|
Toward Understanding How the Data Affects Neural Collapse: A Kernel-Based Approach
Vignesh Kothapalli · Tom Tirer
|
|
|
Poster
|
Wed 11:00
|
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
Sattar Vakili · Julia Olkhovskaya
|
|
|
Workshop
|
|
TurboMoE: Enhancing MoE Model Training with Smart Kernel-Fusion and Data Transformation
Reza Yazdani Aminabadi · Connor Holmes · Samyam Rajbhandari · Zhewei Yao · Yuxiong He
|
|
|
Poster
|
Wed 16:30
|
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
Hideaki Kim
|
|
|
Poster
|
Fri 16:30
|
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
Chao Wang · Xin HE · Yuwen Wang · Junhui Wang
|
|
|
Poster
|
Thu 16:30
|
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
Alex Mathai · Chenxi Huang · Petros Maniatis · Aleksandr Nogikh · Franjo Ivančić · Junfeng Yang · Baishakhi Ray
|
|
|
Poster
|
Thu 16:30
|
Efficient Convex Algorithms for Universal Kernel Learning
Aleksandr Talitckii · Brendon Colbert · Matthew Peet
|
|
|
Poster
|
Wed 16:30
|
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li · Marta Zagorowska · Giulia De Pasquale · Alisa Rupenyan · John Lygeros
|
|
|
Poster
|
Fri 16:30
|
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes
Gaochao Song · Chong Cheng · Hao Wang
|
|
|
Poster
|
Fri 16:30
|
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
Katherine Tieu · Dongqi Fu · Yada Zhu · Hendrik Hamann · Jingrui He
|
|
|
Affinity Event
|
|
A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence
Jhoan Keider Hoyos · Luis Sanchez Giraldo
|
|
|
Poster
|
Fri 16:30
|
Fair Kernel K-Means: from Single Kernel to Multiple Kernel
Peng Zhou · Rongwen Li · Liang Du
|
|
