Shinjae Yoo

SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding

OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics

DIVER-1 : Deep Integration of Vast Electrophysiological Recordings at Scale

STACI: Spatio-Temporal Aleatoric Conformal Inference

Pareto Prompt Optimization

Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators

GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding

SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields

Efficient Physics-Constrained Diffusion Models for Solving Inverse Problems