Co-occurring keywords · papers mentioning both
Papers
MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
CVPR 2026
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
ICML 2025
KinPFN: Bayesian Approximation of RNA Folding Kinetics using Prior-Data Fitted Networks
ICLR 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
AAAI 2025
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
NeurIPS 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NeurIPS 2024
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks
NeurIPS 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NeurIPS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
Statistical Foundations of Prior-Data Fitted Networks
ICML 2023
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
ICLR 2023