Summary of Scalable Spatiotemporal Prediction with Bayesian Neural Fields, by Feras Saad et al.
Scalable Spatiotemporal Prediction with Bayesian Neural Fieldsby Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton,…
Scalable Spatiotemporal Prediction with Bayesian Neural Fieldsby Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton,…
Machine Learning for Soccer Match Result Predictionby Rory Bunker, Calvin Yeung, Keisuke FujiiFirst submitted to…
ORPO: Monolithic Preference Optimization without Reference Modelby Jiwoo Hong, Noah Lee, James ThorneFirst submitted to…
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuningby Peiyuan Liu, Hang Guo, Tao…
Verification-Aided Learning of Neural Network Barrier Functions with Termination Guaranteesby Shaoru Chen, Lekan Molu, Mahyar…
Knowledge Graph Large Language Model (KG-LLM) for Link Predictionby Dong Shu, Tianle Chen, Mingyu Jin,…
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformerby Dipesh…
Unknown Domain Inconsistency Minimization for Domain Generalizationby Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim,…
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural…
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integersby Zhanpeng Zeng, Karthikeyan Sankaralingam, Vikas SinghFirst…