|
Poster
|
Fri 16:30
|
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang · Siddhartha Mishra · Jeffrey Chiang · Baharan Mirzasoleiman
|
|
|
Poster
|
Fri 16:30
|
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei · Vincent Zhuang · Saraswati Soedarmadji · Yanan Sui
|
|
|
Workshop
|
|
Stochastic Gradient MCMC for Gaussian Process Inference on Massive Geostatistical Data
Mohamed Abba · Brian Reich · Reetam Majumder · Brandon Feng
|
|
|
Poster
|
Wed 11:00
|
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
Hao Phung · Quan Dao · Trung Dao · Viet Hoang Phan · Dimitris Metaxas · Anh Tran
|
|
|
Workshop
|
|
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu
|
|
|
Poster
|
|
Consistency Models for Scalable and Fast Simulation-Based Inference
Marvin Schmitt · Valentin Pratz · Ullrich Köthe · Paul-Christian Bürkner · Stefan Radev
|
|
|
Poster
|
Thu 11:00
|
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
Benjamin Feuer · Robin Schirrmeister · Valeriia Cherepanova · Chinmay Hegde · Frank Hutter · Micah Goldblum · Niv Cohen · Colin White
|
|
