|
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
|
|
|
Workshop
|
|
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter
|
|
|
Poster
|
Fri 11:00
|
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
Chao Chen · Yu-Shen Liu · Zhizhong Han
|
|
|
Workshop
|
|
Can we pre-train ICL-based SFMs for the zero-shot inference of the 1D CDR problem with noisy data?
Mingu Kang · Dongseok Lee · Woojin Cho · Kookjin Lee · Anthony Gruber · Nathaniel Trask · Youngjoon Hong · Noseong Park
|
|
|
Workshop
|
Sat 15:45
|
Uncertainty Quantification for Inverse Problems with Generative Priors under Distribution Shift
Sara Fridovich-Keil
|
|
|
Poster
|
Fri 16:30
|
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong · Junwen Yao · Jonas Mueller · Jane-Ling Wang
|
|
